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BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20240730T130000
DTEND;TZID=America/Halifax:20240730T140000
DTSTAMP:20260403T220725
CREATED:20240723T204754Z
LAST-MODIFIED:20241024T183050Z
UID:10000778-1722344400-1722348000@staging.digitalinsights.supremeclients.com
SUMMARY:Probing OncoLand using OmicSoft Studio
DESCRIPTION:There's more than one way to probe our OncoLand data. With the OmicSoft Studio graphical user interface (GUI)\, you won't need a script to fetch the data you want. This training will show how high-quality curated genomic repositories\, such as the QIAGEN OmicSoft Lands\, immediately allow in-depth investigations across diverse oncology and normal tissues/cells data sources (GEO\, CPTAC\, TCGA\, GTEx and many more) to discover and validate candidate checkpoint inhibitor drug targets and biomarker investigation. \nYou will learn to generate data for questions such as: \n\nHow is a gene (or a set of genes) expressed across different conditions (e.g.\, diseases\, treatments\, cell types)?\nHow is the expression of a gene correlated with the expression of other genes?\nFor a list of genes\, can we generate a heatmap studying their expression across different conditions?\nHow do you get a list of biomarkers specific to a condition from public studies?
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/probing-oncoland-using-omicsoft-studio/
LOCATION:Virtual - Americas - EST\, United States
CATEGORIES:Discovery,Webinar
ATTACH;FMTTYPE=image/jpeg:https://staging.digitalinsights.supremeclients.com/wp-content/uploads/2024/08/S_1212_8_QDI_QDI_BKB_Original_62142.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20240730T130000
DTEND;TZID=America/Halifax:20240730T140000
DTSTAMP:20260403T220725
CREATED:20240808T095713Z
LAST-MODIFIED:20241024T182419Z
UID:10000553-1722344400-1722348000@staging.digitalinsights.supremeclients.com
SUMMARY:Probing OncoLand using OmicSoft Studio
DESCRIPTION:There's more than one way to probe our OncoLand data. With the OmicSoft Studio graphical user interface (GUI)\, you won't need a script to fetch the data you want. This training will show how high-quality curated genomic repositories\, such as the QIAGEN OmicSoft Lands\, immediately allow in-depth investigations across diverse oncology and normal tissues/cells data sources (GEO\, CPTAC\, TCGA\, GTEx and many more) to discover and validate candidate checkpoint inhibitor drug targets and biomarker investigation. \nYou will learn to generate data for questions such as: \n\nHow is a gene (or a set of genes) expressed across different conditions (e.g.\, diseases\, treatments\, cell types)?\nHow is the expression of a gene correlated with the expression of other genes?\nFor a list of genes\, can we generate a heatmap studying their expression across different conditions?\nHow do you get a list of biomarkers specific to a condition from public studies?
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/probing-oncoland-using-omicsoft-studio-2/
LOCATION:HSMD-screen-grab-2
ATTACH;FMTTYPE=image/jpeg:https://staging.digitalinsights.supremeclients.com/wp-content/uploads/2024/08/S_1212_8_QDI_QDI_BKB_Original_62142-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20240801T130000
DTEND;TZID=America/Halifax:20240801T140000
DTSTAMP:20260403T220725
CREATED:20240723T210121Z
LAST-MODIFIED:20241024T183050Z
UID:10000779-1722517200-1722520800@staging.digitalinsights.supremeclients.com
SUMMARY:Discovery from sample-level public data (GEO\, SRA and more) using IPA Land Explorer
DESCRIPTION:Within QIAGEN Ingenuity Pathway Analysis (IPA)\, public data sourced from OmicSoft is already processed and standardized\, making it easy to jump to the actual research. In this training\, we'll show how to effectively use sample-level public data and metadata from sources like GEO\, SRA\, TCGA\, GTEx\, Blueprint\, CCLE and other sources using the IPA Analysis Match and Land Explorer features. We will walk through various use cases\, such as biomarker discovery\, drug target investigation\, studying survival in custom patient cohorts\, multi-gene correlation and more. \nYou will learn to answer questions such as: \n\nHow is a gene of interest expressed across different conditions (e.g. diseases\, treatments\, cell lines)?\nIs there correlation in the expression for two genes or biomarkers of user interest for a given condition?\nFor a given condition of interest\, can we derive a list of genes (e.g.\, genes specific to a disease\, treatment or cell type)?\nCan we generate custom cohorts of patients (e.g.\, example TP53 wt vs mutant or PDCD1 high vs low expression) and then\, generate survival curves representing those cohorts? Can we generate p-values to see if there is significant difference?\nCan we detect expression of a gene in different cell types from single cell data?
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/discovery-from-sample-level-public-data-geo-sra-and-more-using-ipa-land-explorer/
LOCATION:Virtual - Americas - EST\, United States
CATEGORIES:Discovery,Webinar
ATTACH;FMTTYPE=image/jpeg:https://staging.digitalinsights.supremeclients.com/wp-content/uploads/2024/05/S_9978_QDI_IPA_Gi609807396_16x9_Medium-720px_50570.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20240801T130000
DTEND;TZID=America/Halifax:20240801T140000
DTSTAMP:20260403T220726
CREATED:20240808T095712Z
LAST-MODIFIED:20241024T182420Z
UID:10000549-1722517200-1722520800@staging.digitalinsights.supremeclients.com
SUMMARY:Discovery from sample-level public data (GEO\, SRA and more) using IPA Land Explorer
DESCRIPTION:Within QIAGEN Ingenuity Pathway Analysis (IPA)\, public data sourced from OmicSoft is already processed and standardized\, making it easy to jump to the actual research. In this training\, we'll show how to effectively use sample-level public data and metadata from sources like GEO\, SRA\, TCGA\, GTEx\, Blueprint\, CCLE and other sources using the IPA Analysis Match and Land Explorer features. We will walk through various use cases\, such as biomarker discovery\, drug target investigation\, studying survival in custom patient cohorts\, multi-gene correlation and more. \nYou will learn to answer questions such as: \n\nHow is a gene of interest expressed across different conditions (e.g. diseases\, treatments\, cell lines)?\nIs there correlation in the expression for two genes or biomarkers of user interest for a given condition?\nFor a given condition of interest\, can we derive a list of genes (e.g.\, genes specific to a disease\, treatment or cell type)?\nCan we generate custom cohorts of patients (e.g.\, example TP53 wt vs mutant or PDCD1 high vs low expression) and then\, generate survival curves representing those cohorts? Can we generate p-values to see if there is significant difference?\nCan we detect expression of a gene in different cell types from single cell data?
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/discovery-from-sample-level-public-data-geo-sra-and-more-using-ipa-land-explorer-2/
LOCATION:HSMD-screen-grab-2
ATTACH;FMTTYPE=image/jpeg:https://staging.digitalinsights.supremeclients.com/wp-content/uploads/2024/08/S_9978_QDI_IPA_Gi609807396_16x9_Medium-720px_50570-5.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20240806T130000
DTEND;TZID=America/Halifax:20240806T150000
DTSTAMP:20260403T220726
CREATED:20240723T210538Z
LAST-MODIFIED:20241024T183052Z
UID:10000780-1722949200-1722956400@staging.digitalinsights.supremeclients.com
SUMMARY:QIAGEN Ingenuity Pathway Analysis (IPA) new user training
DESCRIPTION:Are you new to QIAGEN IPA or interested in expanding your skill set? Join us as we learn more on large dataset analysis and knowledge base queries using QIAGEN IPA. \nYou’ll learn how to: \n\nUpload multiple dataset types (e.g.\, RNA-seq\, proteomics\, metabolomics) and perform interactive core/pathway analysis in IPA\nLearn how to interpret different results\, including pathways\, key regulators\, impact on biological functions/diseases and more\nCompare different experimental conditions (e.g.\, single-cell clusters\, disease types) and identify similarities and contrasts\nGenerate a network for hypothesis generation\, even without a dataset or experimental design\n\nDo you already have an IPA license? Install IPA and start using it now. \nDon't have a license? Learn more about IPA or request a free trial.
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/qiagen-ingenuity-pathway-analysis-ipa-new-user-training-3/
LOCATION:Virtual - Americas - EST\, United States
CATEGORIES:Discovery,Training
ATTACH;FMTTYPE=image/jpeg:https://staging.digitalinsights.supremeclients.com/wp-content/uploads/2024/05/S_9978_QDI_IPA_Gi609807396_16x9_Medium-720px_50570.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20240808T130000
DTEND;TZID=America/Halifax:20240808T140000
DTSTAMP:20260403T220726
CREATED:20240723T210732Z
LAST-MODIFIED:20241024T183053Z
UID:10000781-1723122000-1723125600@staging.digitalinsights.supremeclients.com
SUMMARY:Sharing your analysis results with others in Ingenuity Pathway Analysis
DESCRIPTION:QIAGEN’s Ingenuity Pathway Analysis (IPA) is a powerful tool that allows you to upload your omics data and analyze it to identify key biological pathways and mechanisms and regulatory molecules. But did you know you can share your analysis results with others? In this 60-minute webinar\, we’ll explore the Share Manager and the Collaboration Workspace in IPA and go over the many ways you can share your analysis results with other or how they can share their results with you. \nAttendees will learn how to: \n\nShare datasets and analysis with other IPA users\nUse the Share with me feature\nEmail interactive pathways to other IPA users\nUse a Collaboration Workspace (CWS)
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/sharing-your-analysis-results-with-others-in-ingenuity-pathway-analysis/
LOCATION:Virtual - Americas - EST\, United States
CATEGORIES:Discovery,Webinar
ATTACH;FMTTYPE=image/jpeg:https://staging.digitalinsights.supremeclients.com/wp-content/uploads/2024/05/S_9978_QDI_IPA_Gi609807396_16x9_Medium-720px_50570.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20240808T130000
DTEND;TZID=America/Halifax:20240808T140000
DTSTAMP:20260403T220726
CREATED:20240808T095710Z
LAST-MODIFIED:20241024T182426Z
UID:10000552-1723122000-1723125600@staging.digitalinsights.supremeclients.com
SUMMARY:Sharing your analysis results with others in Ingenuity Pathway Analysis
DESCRIPTION:QIAGEN’s Ingenuity Pathway Analysis (IPA) is a powerful tool that allows you to upload your omics data and analyze it to identify key biological pathways and mechanisms and regulatory molecules. But did you know you can share your analysis results with others? In this 60-minute webinar\, we’ll explore the Share Manager and the Collaboration Workspace in IPA and go over the many ways you can share your analysis results with other or how they can share their results with you. \nAttendees will learn how to: \n\nShare datasets and analysis with other IPA users\nUse the Share with me feature\nEmail interactive pathways to other IPA users\nUse a Collaboration Workspace (CWS)
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/sharing-your-analysis-results-with-others-in-ingenuity-pathway-analysis-2/
LOCATION:HSMD-screen-grab-2
ATTACH;FMTTYPE=image/jpeg:https://staging.digitalinsights.supremeclients.com/wp-content/uploads/2024/08/S_9978_QDI_IPA_Gi609807396_16x9_Medium-720px_50570-7.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20240813T130000
DTEND;TZID=America/Halifax:20240813T140000
DTSTAMP:20260403T220726
CREATED:20240723T211019Z
LAST-MODIFIED:20241024T183053Z
UID:10000782-1723554000-1723557600@staging.digitalinsights.supremeclients.com
SUMMARY:Drug MOA and disease pathology investigation using QIAGEN Biomedical KB-HD
DESCRIPTION:Many research groups worldwide are investing significant time and resources in studying drug mechanism of action (MOA) and its impact on disease pathology. One critical challenge they encounter is access to a centralized source that contains high-quality\, manually curated literature knowledge. To meet this need\, we launched QIAGEN Biomedical KB-HD\, the expert-curated database backing QIAGEN Ingenuity Pathway Analysis (IPA)\, to enable the scientific community and help accelerate drug discovery. \nYou will learn to use Biomedical KB-HD to: \n\nEasily pull up relevant literature findings for a drug of interest\nGenerate a novel mechanism of action (MOA) for this drug and its effect on the disease indication of interest\nIdentify new applications for this drug (drug repurposing)\nInvestigate mutational impact on drug MOA
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/drug-moa-and-disease-pathology-investigation-using-qiagen-biomedical-kb-hd/
LOCATION:Virtual - Americas - EST\, United States
CATEGORIES:Discovery,Webinar
ATTACH;FMTTYPE=image/jpeg:https://staging.digitalinsights.supremeclients.com/wp-content/uploads/2024/08/S_1212_8_QDI_QDI_BKB_Original_62142.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20240815T130000
DTEND;TZID=America/Halifax:20240815T140000
DTSTAMP:20260403T220726
CREATED:20240723T211313Z
LAST-MODIFIED:20241024T183053Z
UID:10000783-1723726800-1723730400@staging.digitalinsights.supremeclients.com
SUMMARY:Leveraging high-quality public proteomics data for biomarker and drug-target investigation through OmicSoft Lands APIs
DESCRIPTION:Per feedback from recent trainings\, we are hosting a training focused on biomarkers and drug target investigation through effectively utilizing high quality curated public proteomics expression data. OmicSoft Lands database is a high-quality curated repository which contains gene and protein expression data derived from a variety of sources such as CPTAC\, TCGA\, HPA\, GTEx and more. \nUsing OmicSoft Lands APIs\, you will learn how to: \n\nEasily locate proteomics samples and projects (studies) of interest (example can we locate proteomics data related to the breast cancer or specific drug treatment?)\nCheck expression of a protein of interest (drug target or biomarkers) across different experimental groups or conditions (diseases\, treatments\, cell types and more) as well as across samples coming from different collections (example is a protein upregulated in breast cancer samples from TCGA and CPTAC but downregulated in normal samples from TCGA\, GTEx and HPA?)\nCorrelate protein levels with RNA-seq expression data for the same samples\, and compare differential expression results from proteomic and RNA-seq results\nInvestigate whether there is correlation in expression between two (or a group/list of proteins) across different experimental groups/conditions (example do two proteins of interest show correlation in expression in TNBC samples? Is protein and gene expression correlated as well?)\nDerive a protein signature from conditions of interest (example are a group of protein upregulated in disease condition but downregulated upon drug treatment)\nPerform Geneset Enrichment for a group of proteins
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/leveraging-high-quality-public-proteomics-data-for-biomarker-and-drug-target-investigation-through-omicsoft-lands-apis/
LOCATION:Virtual - Americas - EST\, United States
CATEGORIES:Discovery,Webinar
ATTACH;FMTTYPE=image/jpeg:https://staging.digitalinsights.supremeclients.com/wp-content/uploads/2024/08/S_1212_8_QDI_QDI_BKB_Original_62142.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20240815T130000
DTEND;TZID=America/Halifax:20240815T140000
DTSTAMP:20260403T220726
CREATED:20240808T095709Z
LAST-MODIFIED:20241024T182428Z
UID:10000550-1723726800-1723730400@staging.digitalinsights.supremeclients.com
SUMMARY:Leveraging high-quality public proteomics data for biomarker and drug-target investigation through OmicSoft Lands APIs
DESCRIPTION:Per feedback from recent trainings\, we are hosting a training focused on biomarkers and drug target investigation through effectively utilizing high quality curated public proteomics expression data. OmicSoft Lands database is a high-quality curated repository which contains gene and protein expression data derived from a variety of sources such as CPTAC\, TCGA\, HPA\, GTEx and more. \nUsing OmicSoft Lands APIs\, you will learn how to: \n\nEasily locate proteomics samples and projects (studies) of interest (example can we locate proteomics data related to the breast cancer or specific drug treatment?)\nCheck expression of a protein of interest (drug target or biomarkers) across different experimental groups or conditions (diseases\, treatments\, cell types and more) as well as across samples coming from different collections (example is a protein upregulated in breast cancer samples from TCGA and CPTAC but downregulated in normal samples from TCGA\, GTEx and HPA?)\nCorrelate protein levels with RNA-seq expression data for the same samples\, and compare differential expression results from proteomic and RNA-seq results\nInvestigate whether there is correlation in expression between two (or a group/list of proteins) across different experimental groups/conditions (example do two proteins of interest show correlation in expression in TNBC samples? Is protein and gene expression correlated as well?)\nDerive a protein signature from conditions of interest (example are a group of protein upregulated in disease condition but downregulated upon drug treatment)\nPerform Geneset Enrichment for a group of proteins
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/leveraging-high-quality-public-proteomics-data-for-biomarker-and-drug-target-investigation-through-omicsoft-lands-apis-2/
LOCATION:HSMD-screen-grab-2
ATTACH;FMTTYPE=image/jpeg:https://staging.digitalinsights.supremeclients.com/wp-content/uploads/2024/08/S_1212_8_QDI_QDI_BKB_Original_62142-3.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20240820T130000
DTEND;TZID=America/Halifax:20240820T150000
DTSTAMP:20260403T220726
CREATED:20240724T175007Z
LAST-MODIFIED:20241024T183054Z
UID:10000785-1724158800-1724166000@staging.digitalinsights.supremeclients.com
SUMMARY:Single Cell RNA-Seq\, Cell Hashing\, and Spatial Transcriptomics
DESCRIPTION:In this training\, you will learn how to analyze and interpret your own single cell RNA-seq data using QIAGEN CLC Genomics Workbench starting with either FASTQ or matrix files. Using CLC Genomics Workbench\, you will learn how to perform secondary analysis on your single cell RNA-seq data. \nSee some of the many results/graphics you will be able to generate after this training. \nYou will learn how to: \n\nImport your raw FASTQ or processed cell-matrix files.\nUse pre-configured but customizable pipelines/workflows for single cell RNA-seq data.\nGenerate high resolution visuals and other files from your analysis for publications and biopharmaceutical discoveries\, including dimension reduction (UMAP\, t-SNE) plots\, differential expression table for clusters\, cell types\, or combination of both\, heat maps\, dot plots\, violin plots\nLearn how to use “Create Cell Annotations from Hashtags” for cell hashing (i.e.\, CITE-seq).\nDive into spatial transcriptomic analysis\, the latest feature in the single cell RNA-seq module.
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/single-cell-rna-seq-cell-hashing-and-spatial-transcriptomics-2-2/
LOCATION:Virtual - Americas - EST\, United States
CATEGORIES:Discovery,Webinar
ATTACH;FMTTYPE=image/jpeg:https://staging.digitalinsights.supremeclients.com/wp-content/uploads/2024/05/S_9978_QDI_IPA_Gi609807396_16x9_Medium-720px_50570.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20240821T100000
DTEND;TZID=America/Halifax:20240821T110000
DTSTAMP:20260403T220726
CREATED:20240814T181742Z
LAST-MODIFIED:20241024T183054Z
UID:10000786-1724234400-1724238000@staging.digitalinsights.supremeclients.com
SUMMARY:Link prediction for biomedical innovation and drug discovery
DESCRIPTION:Are you interested in biomedical knowledge graphs\, but don’t know where to start? This webinar will show you how to repurpose drugs and uncover hidden insights with knowledge graphs. Start learning the fundamentals of training embeddings and how to predict links in knowledge graphs. You’ll be able to apply that knowledge towards your biomedical discoveries with advanced machine learning techniques. \nIn this webinar\, you will: \n\nMeet QIAGEN Biomedical KB-HD\, the manually curated knowledge base of over 24 million relationships that powers QIAGEN Ingenuity Pathway Analysis\nLearn about methods for graph link prediction\nStart applying link prediction to graph embeddings with PyKEEN\nSee the results of applying link prediction towards indication expansion for a TLR7 inhibitor
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/link-prediction-for-biomedical-innovation-and-drug-discovery/
LOCATION:Virtual - Americas - EST\, United States
CATEGORIES:Discovery,Webinar
ATTACH;FMTTYPE=image/jpeg:https://staging.digitalinsights.supremeclients.com/wp-content/uploads/2024/08/S_1212_8_QDI_QDI_BKB_Original_62142.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20240822T130000
DTEND;TZID=America/Halifax:20240822T143000
DTSTAMP:20260403T220726
CREATED:20240814T192056Z
LAST-MODIFIED:20241024T183059Z
UID:10000793-1724331600-1724337000@staging.digitalinsights.supremeclients.com
SUMMARY:OmicSoft Studio: RNA-seq and expression data analysis
DESCRIPTION:In this 90-minute training\, attendees will learn how to use basic expression analysis (example RNA-seq) functionalities in QIAGEN OmicSoft Studio and how that integrates with OncoLand\, DiseaseLand and Single Cell Land. This webinar will focus on expression data analysis using QIAGEN OmicSoft Studio’s powerful analysis and visualization capabilities to explore your ‘omics data: \n\nAccepted data formats (ex. fastq files\, cell matrix files with raw or normalized counts\, etc.)\nEasily generating and flexibly customizing downstream outputs such as differential expression\, heatmaps\, counts\, PCA/PCOA\, etc.\nExporting high-resolution graphics as well as raw or filtered tables\n\nTo get most out of this training\, please consider reviewing the below ahead of time (not a requirement to attend the training though). \n\nStep-by-step local analysis\nStep-by-step server analysis
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/omicsoft-studio-rna-seq-and-expression-data-analysis/
LOCATION:Virtual - Americas - EST\, United States
CATEGORIES:Discovery,Training
ATTACH;FMTTYPE=image/jpeg:https://staging.digitalinsights.supremeclients.com/wp-content/uploads/2024/05/S_1188_7_QDI_QDI_OmicSoft.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20240827T130000
DTEND;TZID=America/Halifax:20240827T143000
DTSTAMP:20260403T220726
CREATED:20240814T191725Z
LAST-MODIFIED:20241024T183059Z
UID:10000792-1724763600-1724769000@staging.digitalinsights.supremeclients.com
SUMMARY:IPA deep dive: miRNA investigation using QIAGEN Ingenuity Pathway Analysis (IPA)
DESCRIPTION:In this 90-minute training session\, you will learn how to identify target mRNAs for your miRNAs of interest and associate them with pathways\, diseases\, biological functions\, tissues and cell types. \nTopics that will be covered include: \n\nHow to analyze miRNA-seq datasets alone or both miRNA and corresponding mRNA datasets together\nHow to use QIAGEN IPA without a dataset\, using miRNA IDs\nIntroduction to databases and curated content specific to miRNA\nHow to effectively apply various filters and functionalities to identify biomarkers\, key targets and biological mechanisms\n\nLearn more about IPA or request for a trial.
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/ipa-deep-dive-mirna-investigation-using-qiagen-ingenuity-pathway-analysis-ipa-3/
LOCATION:Virtual - Americas - EST\, United States
CATEGORIES:Discovery,Training
ATTACH;FMTTYPE=image/png:https://staging.digitalinsights.supremeclients.com/wp-content/uploads/2024/10/S_1061_8_IPA_Challenger_029325-copy.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20240829T130000
DTEND;TZID=America/Halifax:20240829T140000
DTSTAMP:20260403T220726
CREATED:20240814T191418Z
LAST-MODIFIED:20241024T183059Z
UID:10000791-1724936400-1724940000@staging.digitalinsights.supremeclients.com
SUMMARY:Public single-cell expression data made easy with QIAGEN IPA
DESCRIPTION:Many QIAGEN Ingenuity Pathway Analysis (IPA) users have expressed interest in taking advantage of public single-cell expression data. Such data is readily available and easily accessible in IPA. We are hosting a 1hr training focused on some common use cases related to this topic. \nYou'll learn to: \n\nEasily locate single-cell studies\, samples or cell types of interest\nStudy pathways and networks pertaining to such projects to explore biological and cellular mechanisms\nInvestigate sample- and cell-level gene expression for biomarker investigation
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/public-single-cell-expression-data-made-easy-with-qiagen-ipa/
LOCATION:Virtual - Americas - EST\, United States
CATEGORIES:Discovery,Training,Webinar
ATTACH;FMTTYPE=image/jpeg:https://staging.digitalinsights.supremeclients.com/wp-content/uploads/2024/05/S_9978_QDI_IPA_Gi609807396_16x9_Medium-720px_50570.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20240904T100000
DTEND;TZID=Europe/Helsinki:20240904T103000
DTSTAMP:20260403T220726
CREATED:20240822T150659Z
LAST-MODIFIED:20241024T183101Z
UID:10000797-1725444000-1725445800@staging.digitalinsights.supremeclients.com
SUMMARY:Achieving Good Manufacturing Production (GxP) compliance with NGS (EMEA)
DESCRIPTION:New guidelines for the viral safety evaluation of biotechnology products from the International Council for Harmonisation (ICH) recommend replacing multiple in vivo and in vitro assays with next-generation sequencing (NGS) to maintain good manufacturing practices. \nIf that sounds like a lot\, we’ve got you covered. In this webinar\, we’ll explore how you can easily apply NGS analysis to GxP with the QIAGEN CLC Genomics platform. Make compliance intrinsic to your workflow and ensure product quality\, data integrity and patient safety. \nYou’ll learn how to: \n\nAssess biosafety\, ensure integrity and perform quality control in the biotech industry with NGS\nImplement and maintain GxP with the QIAGEN CLC Genomics platform\nAdd your existing applications and extend their use through the CLC interface
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/achieving-good-manufacturing-production-gxp-compliance-with-ngs-emea/
LOCATION:Virtual - EMEA - CET
CATEGORIES:Discovery,Webinar
ATTACH;FMTTYPE=image/jpeg:https://staging.digitalinsights.supremeclients.com/wp-content/uploads/2024/10/S_9299_QDI_CLC_Gi973088652_16x9_Large-1200px_49128-1140x641-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20240904T130000
DTEND;TZID=America/Halifax:20240904T133000
DTSTAMP:20260403T220726
CREATED:20240822T151120Z
LAST-MODIFIED:20241024T183101Z
UID:10000798-1725454800-1725456600@staging.digitalinsights.supremeclients.com
SUMMARY:Achieving Good Manufacturing Production (GxP) compliance with NGS (Americas)
DESCRIPTION:New guidelines for the viral safety evaluation of biotechnology products from the International Council for Harmonisation (ICH) recommend replacing multiple in vivo and in vitro assays with next-generation sequencing (NGS) to maintain good manufacturing practices. \nIf that sounds like a lot\, we’ve got you covered. In this webinar\, we’ll explore how you can easily apply NGS analysis to GxP with the QIAGEN CLC Genomics platform. Make compliance intrinsic to your workflow and ensure product quality\, data integrity and patient safety. \nYou’ll learn how to: \n\nAssess biosafety\, ensure integrity and perform quality control in the biotech industry with NGS\nImplement and maintain GxP with the QIAGEN CLC Genomics platform\nAdd your existing applications and extend their use through the CLC interface
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/achieving-good-manufacturing-production-gxp-compliance-with-ngs-americas/
LOCATION:Virtual - Americas - EST\, United States
CATEGORIES:Discovery,Webinar
ATTACH;FMTTYPE=image/jpeg:https://staging.digitalinsights.supremeclients.com/wp-content/uploads/2024/10/S_9299_QDI_CLC_Gi973088652_16x9_Large-1200px_49128-1140x641-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20240904T130000
DTEND;TZID=America/Halifax:20240904T150000
DTSTAMP:20260403T220726
CREATED:20240814T191059Z
LAST-MODIFIED:20241024T183058Z
UID:10000790-1725454800-1725462000@staging.digitalinsights.supremeclients.com
SUMMARY:QIAGEN IPA new user training
DESCRIPTION:Are you new to QIAGEN Ingenuity Pathway Analysis (IPA) or interested in expanding your skill set? Join us as we learn more on large dataset analysis and knowledge base queries using QIAGEN IPA. \nYou’ll learn to: \n\nUpload multiple dataset types (e.g.\, RNA-seq\, proteomics\, metabolomics) and perform interactive core/pathway analysis in IPA\nLearn how to interpret different results\, including pathways\, key regulators\, impact on biological functions/diseases and more\nCompare different experimental conditions (e.g.\, single-cell clusters\, disease types) and identify similarities and contrasts\nGenerate a network for hypothesis generation\, even without a dataset or experimental design\n\nAlready have an IPA license? Install IPA and start using it now. \nLearn more about IPA or request a free trial.
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/qiagen-ipa-new-user-training/
LOCATION:Virtual - Americas - EST\, United States
CATEGORIES:Discovery,Training
ATTACH;FMTTYPE=image/jpeg:https://staging.digitalinsights.supremeclients.com/wp-content/uploads/2024/05/S_9978_QDI_IPA_Gi609807396_16x9_Medium-720px_50570.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20240905T130000
DTEND;TZID=America/Halifax:20240905T140000
DTSTAMP:20260403T220726
CREATED:20240814T190613Z
LAST-MODIFIED:20241024T183055Z
UID:10000789-1725541200-1725544800@staging.digitalinsights.supremeclients.com
SUMMARY:Custom patient cohorts: Making discoveries with curated genomics data
DESCRIPTION:Are you interested in exploring how you can evaluate phenotypic differences between custom cohorts? You can learn more about drug response\, survival\, co-expressing biomarkers\, mutations and more based on gene expression. \nIn this webinar\, you'll learn how to investigate patient cohorts using high-quality curated genomic repositories like the QIAGEN OmicSoft Lands database. You'll be able to to perform in-depth investigations across diverse data-sources\, including GEO datasets\, TCGA and more. \nIn this webinar\, attendees will learn how to \n\nEasily locate studies of interest using OmicSoft Lands APIs\nGenerate custom cohorts based on expression levels of biomarker(s) of interest\nThoroughly investigate drug response and patient survival for these custom cohorts\nStudy variants/mutations present in these patient population and their association with disease pathology
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/discoveries-from-custom-patient-cohorts-drug-response-survival-curves-mutations-and-more-using-high-quality-genomics-public-data-and-peer-reviewed-literature/
LOCATION:Virtual - Americas - EST\, United States
CATEGORIES:Discovery,Training,Webinar
ATTACH;FMTTYPE=image/jpeg:https://staging.digitalinsights.supremeclients.com/wp-content/uploads/2024/08/S_1212_8_QDI_QDI_BKB_Original_62142.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20240907T080000
DTEND;TZID=Europe/Helsinki:20240911T170000
DTSTAMP:20260403T220726
CREATED:20240829T162719Z
LAST-MODIFIED:20241024T183102Z
UID:10000799-1725696000-1726074000@staging.digitalinsights.supremeclients.com
SUMMARY:QIAGEN presents poster at 2024 European Congress of Pathology
DESCRIPTION:QIAGEN will be at the 36th European Congress of Pathology (ECP) in Florence from September 7-11\, 2024\, in Florence\, Italy. \nAt the event\, be sure to check out our poster that we are presenting in collaboration with a leading pharmaceutical company showing how our clinical decision support software\, QCI Interpret\, provides rapid and accurate interpretation of gBRCA genes in a clinical lab setting. In the study\, 10 partner labs were asked to assess 48 retrospective analyses of BRCA variants and compare their variant classifications with the automated classifications computed by QCI Interpret. Results showed QCI Interpret was concordant with 93% of all cases. \n \nFeatured Poster: Spadolini Pavilion (Upper Floor) \nMolecular Pathology Session | September\, 10\, 2024\, 9:30–10:30 a.m. \nPoster number: 009. Title: “QIAGEN clinical decision support software provides rapid and accurate interpretation of gBRCA variants in a clinical lab setting”
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/qiagen-36th-european-congress-of-pathology-ecp/
LOCATION:Florence\, Italy
CATEGORIES:Event
ATTACH;FMTTYPE=image/jpeg:https://staging.digitalinsights.supremeclients.com/wp-content/uploads/2024/10/S_1418_4_QDI_QCI_Italy_Florence.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20240910T130000
DTEND;TZID=America/Halifax:20240910T143000
DTSTAMP:20260403T220726
CREATED:20240814T190300Z
LAST-MODIFIED:20241024T183055Z
UID:10000788-1725973200-1725978600@staging.digitalinsights.supremeclients.com
SUMMARY:Metatranscriptome analysis\, annotation and pathways investigations using CLC Genomics Workbench
DESCRIPTION:Using CLC Genomics Workbench\, we will go through a pipeline for analyzing metatranscriptome NGS data from microbial communities and perform pathways interpretation on it. \n\nImport "raw" NGS sequencing data and prepare the samples for analysis\nFind relevant annotated genomes with a curated reference database while removing ribosomal RNA with the SILVA database (database of rRNAs)\nDe novo assemble the unclassified reads into contigs to also find transcripts of taxa not present in the reference database\nMap the reads to the assembled contigs and database · Build a functional profile of the samples to get an abundance of GO-terms.\nStatistical analysis of the groups\nPathway analysis on the differential abundance analysis using MetaCyc database.
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/metatranscriptome-analysis-annotation-and-pathways-investigations-using-clc-genomics-workbench/
LOCATION:Virtual - Americas - EST\, United States
CATEGORIES:Discovery,Training,Webinar
ATTACH;FMTTYPE=image/jpeg:https://staging.digitalinsights.supremeclients.com/wp-content/uploads/2024/10/0be0fc6f-c5b4-487a-8eb9-70ec50b6fad1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240912T110000
DTEND;TZID=UTC:20240912T120000
DTSTAMP:20260403T220726
CREATED:20240821T173902Z
LAST-MODIFIED:20241024T183100Z
UID:10000796-1726138800-1726142400@staging.digitalinsights.supremeclients.com
SUMMARY:Expanding neoantigen discovery with COSMIC
DESCRIPTION:Neoantigens are among the newest promising targets for cancer treatment. Unlike tumor-associated antigens\, neoantigens are produced only by tumor cells. These unique molecular markers are highly visible to the immune system\, making them ideal for personalized immunotherapies. They may also be able to predict both tumor survival prognosis and immune checkpoint blockade responses. Neoantigens are presented by human leukocyte antigen class I molecules (HLA-I) to T cells\, providing an ideal pathway for detection by shotgun proteomics. To identify these elusive targets\, scientists often rely on whole exome sequencing (WES)-derived data. However\, this approach can miss rare or low-frequency mutations\, especially in cancers with a low tumor mutational burden (TMB). \nThe Catalogue of Somatic Mutations in Cancer (COSMIC) can bridge this gap by providing researchers with detailed information about somatic mutations in human cancer. Unlock the full potential of neoantigen-targeted therapies and enhance traditional approaches like WES with our comprehensive\, expert-curated knowledge base. \nIn this webinar\, we’ll learn to: \n\nUncover and validate potential neoantigens with a recent peer-reviewed study that uses COSMIC mutation data from human hepatocellular carcinoma (HCC)\, a low-TMB cancer\nApply the benchmarking results of neoantigen detection performance using HCC-specific variants from COSMIC or DepMap\nTake full advantage of the breadth and accuracy of COSMIC data with downloaded content and other resources\n\nCOSMIC’s scientific and curation team will also answer your questions live during the webinar. \n  \nSpeaker: Kyle Nilson\, PhD \nKyle Nilson\, PhD\, is a sequencing-focused molecular biologist with a background in biochemistry and technical support. As a field software trainer at QIAGEN Digital Insights\, Dr. Nilson works closely with QIAGEN’s global bioinformatics team to provide direct customer support and assist with software training\, implementation\, and optimization. He earned his Ph.D. in molecular and cellular biology from the University of Iowa\, where he studied the regulation of RNA polymerase II transcription and co-transcriptional mRNA processing. Dr. Nilson then completed his postdoctoral training at Penn State and Cornell University\, focusing exclusively on next-generation sequencing method development to study chromatin.
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/expanding-neoantigen-discovery-with-cosmic/
LOCATION:Virtual - Americas - EST\, United States
CATEGORIES:Discovery,Webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20240917T130000
DTEND;TZID=America/Halifax:20240917T143000
DTSTAMP:20260403T220726
CREATED:20240814T185750Z
LAST-MODIFIED:20241024T183055Z
UID:10000787-1726578000-1726583400@staging.digitalinsights.supremeclients.com
SUMMARY:OmicSoft Diseaseland Training
DESCRIPTION:Per feedback of scientists interested in taking advantage of non-oncological diseases (inflammatory\, infectious\, metabolic and more) as well as normal tissues (example toxicology/target safety assessment) omics\, we are hosting this training focused OmicSoft Diseaseland. OmicSoft Diseaseland is a repository which contain high quality curated ‘omic data (RNA-seq\, scRNA-seq\, microarray and more) from diverse data-sources (example GEO\, SRA\, GTEx and many more). While this training will be focused on leveraging public data\, users can use this knowledge to navigate through their institution’s internal lands (omic data repositories) as well. \nAttendees will learn to perform queries similar to below \n\nHow is a gene (or a set of genes) expressed across different conditions? (Conditions = diseases\, tissues\, treatments\, cell types and more)\nHow is expression of a gene correlated with expression of other genes?\nFor a list of genes can we generate a heatmap studying their expression across different conditions?\nHow do you get a list of biomarkers specific to a condition from public studies?
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/omicsoft-diseaseland-training/
LOCATION:Virtual - Americas - EST\, United States
CATEGORIES:Discovery,Training,Webinar
ATTACH;FMTTYPE=image/jpeg:https://staging.digitalinsights.supremeclients.com/wp-content/uploads/2024/05/S_1188_7_QDI_QDI_OmicSoft.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240926T110000
DTEND;TZID=UTC:20240926T123000
DTSTAMP:20260403T220726
CREATED:20240821T172900Z
LAST-MODIFIED:20241024T183100Z
UID:10000795-1727348400-1727353800@staging.digitalinsights.supremeclients.com
SUMMARY:Third Annual Clinical Hereditary Disease Diagnostics Summit "Exome experts: Improving the interpretation and integration of exome testing in routine clinical care"
DESCRIPTION:Industry leaders discuss how to improve the speed\, precision and cost-effectiveness of clinical exome testing for newborn screening and rare and undiagnosed diseases \nClinical exome testing is revolutionizing the diagnosis of rare and inherited diseases. Its ability to quickly pinpoint the genetic causes of complex conditions has made it a critical component of personalized medicine\, leading to earlier diagnoses\, targeted treatments and improved patient outcomes. However\, without the right strategies\, databases and informatics tools\, clinical exome testing remains inaccessible for many small to mid-sized laboratories. \nThe Third Annual Clinical Hereditary Disease Diagnostics Summit hosted by QIAGEN Digital Insights will examine the incredible opportunities—and challenges—of brining clinical exome testing in-house. Join industry leaders as they discuss how labs\, regardless of size\, budget and experience\, can integrate exome testing into routine clinical care with transformative impact for providers and their patients. \nFeatured topics will include: \n\nEmerging trends and recent technological advancements in genetic testing\nOvercoming challenges of interpreting complex genetic data from genome\, exome\, and next-generation sequencing panels\nHow to integrate genetic testing into clinical practice with consideration of efficiency\, cost\, and ethics\nFuture directions for the field and how to prepare your lab for innovation
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/exome-experts-improving-the-interpretation-and-integration-of-exome-testing-in-routine-clinical-care/
LOCATION:Virtual - Americas - EST\, United States
CATEGORIES:Clinical,Webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20240926T130000
DTEND;TZID=America/Halifax:20240926T143000
DTSTAMP:20260403T220726
CREATED:20240814T192314Z
LAST-MODIFIED:20241024T183059Z
UID:10000794-1727355600-1727361000@staging.digitalinsights.supremeclients.com
SUMMARY:Investigating biomarkers with bulk and single-cell RNA-seq expression data
DESCRIPTION:QIAGEN Ingenuity Pathway Analysis (IPA) is designed to help you analyze and compare different types of 'omics data. In this webinar\, we’ll compare bulk RNA-seq and single-cell RNA-seq data to identify common regulators/targets and see how those regulators/targets associate with your phenotype of interest. We will also use sample-level public data to validate gene expression of common genes in tissues and/or cell type of interest. \nYou'll learn how to: \n\nGenerate a Comparison Analysis for bulk and single-cell RNA-seq\nIdentify significant common genes with the Compare feature\nBuild a custom network associating common genes to a phenotype\nExamine sample- and cell-level expression in OmicSoft content
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/compare-bulk-rnaseq-and-single-cell-rnaseq-expression-data-for-biomarkers-investigation/
LOCATION:Virtual - Americas - EST\, United States
CATEGORIES:Discovery,Training
ATTACH;FMTTYPE=image/jpeg:https://staging.digitalinsights.supremeclients.com/wp-content/uploads/2024/05/S_9978_QDI_IPA_Gi609807396_16x9_Medium-720px_50570.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20241003T130000
DTEND;TZID=America/Halifax:20241003T150000
DTSTAMP:20260403T220726
CREATED:20240919T152232Z
LAST-MODIFIED:20241024T183117Z
UID:10000803-1727960400-1727967600@staging.digitalinsights.supremeclients.com
SUMMARY:QIAGEN IPA new user training
DESCRIPTION:Are you new to QIAGEN Ingenuity Pathway Analysis (IPA) or interested in expanding your skill set? Join us as we learn more on large dataset analysis and knowledge base queries using QIAGEN IPA. \nYou’ll learn to: \n\nUpload multiple dataset types (e.g.\, RNA-seq\, proteomics\, metabolomics) and perform interactive core/pathway analysis in IPA\nLearn how to interpret different results\, including pathways\, key regulators\, impact on biological functions/diseases and more\nCompare different experimental conditions (e.g.\, single-cell clusters\, disease types) and identify similarities and contrasts\nGenerate a network for hypothesis generation\, even without a dataset or experimental design\n\nAlready have an IPA license? Install IPA and start using it now. \nLearn more about IPA or request a free trial.
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/qiagen-ipa-new-user-training-2/
LOCATION:Virtual - Americas - EST\, United States
CATEGORIES:Discovery,Training
ATTACH;FMTTYPE=image/jpeg:https://staging.digitalinsights.supremeclients.com/wp-content/uploads/2024/05/S_9978_QDI_IPA_Gi609807396_16x9_Medium-720px_50570.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20241007T140000
DTEND;TZID=UTC:20241007T153000
DTSTAMP:20260403T220726
CREATED:20240919T151918Z
LAST-MODIFIED:20241024T183115Z
UID:10000802-1728309600-1728315000@staging.digitalinsights.supremeclients.com
SUMMARY:RNA-seq data analysis and interpretation with Sankey plot update
DESCRIPTION:For RNA-seq data\, you will learn how to: \n\nImport FASTQ files\, cell matrix files and metadata and how to download references\nMap reads to a reference genome and generate gene and transcript counts and QC reports displaying % mapped reads\, knee plots\, etc.\nGenerate visualizations of results\, such as heatmaps\, differential expression tables\, PCA/PCOA plots\, Venn diagrams\, sankey plot and others\nEasily customize RNA-seq workflows\nExport publication-quality graphics\, tables and reports\nSend differential expression tables to QIAGEN Ingenuity Pathway Analysis directly from QIAGEN CLC Genomics Workbench to analyze and interpret relevant pathways
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/rna-seq-data-analysis-and-interpretation-with-sankey-plot-update-3/
LOCATION:Virtual - Americas - EST\, United States
CATEGORIES:Discovery,Training
ATTACH;FMTTYPE=image/jpeg:https://staging.digitalinsights.supremeclients.com/wp-content/uploads/2024/05/S_9978_QDI_IPA_Gi609807396_16x9_Medium-720px_50570.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20241008T130000
DTEND;TZID=America/Halifax:20241008T140000
DTSTAMP:20260403T220726
CREATED:20240919T151623Z
LAST-MODIFIED:20241024T183114Z
UID:10000801-1728392400-1728396000@staging.digitalinsights.supremeclients.com
SUMMARY:How to triage drug targets with curated\, causal relationships data
DESCRIPTION:In the rapidly evolving landscape of drug discovery\, the ability to integrate high-quality research findings into knowledge graphs is paramount. For over twenty years\, our scientists have curated the relationships between genes\, drugs\, diseases\, and pathways to power Ingenuity Pathway Analysis. Now\, these data are available via our QIAGEN Biomedical KB-HD\, which provides direct access to flat files\, SQL APIs in Python and R\, and the ability to export knowledge graph objects for analysis in Neo4j. In this talk\, we will explore how to use this rich data resource to: \n\naggregate relevant findings across our comprehensive disease and gene ontologies\ncross-reference clinical trial results to focus your research on genes upstream or downstream of known drug targets\nfilter causal relationships by the directionality of observed effects\ncombine the above methods to accelerate the drug discovery process\n\nBy demonstrating the underlying database live\, we will show how the high-quality curated biomedical knowledge bases can be rapidly deployed\, as well as how the underlying schema and ontologies could serve as a scaffold for integrating your own research. Overall\, this demonstration will show the critical role of knowledge graphs in finding viable drug targets while avoiding potential adverse outcomes and toxicity.
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/how-to-triage-drug-targets-with-curated-causal-relationships-data/
LOCATION:Virtual - Americas - EST\, United States
CATEGORIES:Discovery,Webinar
ATTACH;FMTTYPE=image/jpeg:https://staging.digitalinsights.supremeclients.com/wp-content/uploads/2024/08/S_1212_8_QDI_QDI_BKB_Original_62142.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20241010T110000
DTEND;TZID=UTC:20241010T120000
DTSTAMP:20260403T220726
CREATED:20240930T165834Z
LAST-MODIFIED:20241024T183125Z
UID:10000813-1728558000-1728561600@staging.digitalinsights.supremeclients.com
SUMMARY:Webinar: Streamline your hereditary diseases interpretation workflow with QCI Interpret
DESCRIPTION:Learn how QCI Interpret\, clinical decision support software for variant interpretation and reporting\, can help your lab rapidly identify pathogenic variants\, improve diagnostic yields\, and significantly reduce test turnaround time for hereditary diseases. Attendees will receive a demonstration of QCI Interpret’s unique capabilities and advanced features for germline variant interpretation with example workflows for carrier screening and whole-exome sequencing panels. Key highlights will include how your lab can expedite variant interpretation by leveraging the most extensive\, manually curated knowledge base\, dynamically compute pathogenicity based on ACMG guidelines for every variant with full transparency\, and leverage QCI Interpret’s proprietary augmented molecular intelligence approach to literature curation and variant classification to streamline your interpretation workflow. \nIn this webinar\, attendees will: \n\nReceive a demonstration of QCI Interpret’s analysis and interpretation workflows for hereditary diseases using targeted and extended gene panels\, including whole-genome and whole-exome sequencing.\nLearn about QIAGEN’s proprietary expert curation process for the knowledge base in QCI Interpret.\nExplore unique time-saving features within QCI Interpret\, including phenotype-driven ranking and automation of ACMG guidelines.\nUnderstand how QCI Interpret supports copy number variant (CNV) interpretation and reporting with bibliographic coverage of over 60\,000 CNV case reports.\n\n\n\n\nSpeaker: \n\n\n\n\nElias Hage\, PhD\nAssociate Director\, Global Product Management\nQIAGEN Digital Insights\n\n\nElias Hage\, PhD\, is the Associate Director of Global Product Management for Hereditary Disease and Oncology Applications at QIAGEN Digital Insights (QDI). In this role\, he oversees the development\, management\, and optimization of QDI software\, databases and services for genomic analysis and interpretation of hereditary disease and oncology cases. Prior to joining QDI\, Dr. Hage served as a Global Product Manager at Agilent Technologies\, where he managed the Genomics division flagship SaaS application (Alissa Interpret) and supported its usage globally in both research and IVD settings. Dr. Hage obtained his Ph.D. in virology and genomics from Hannover Medical School in Belgium.
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/webinar-streamline-your-hereditary-diseases-interpretation-workflow-with-qci-interpret/
LOCATION:Virtual Global Event (Times shown in EST)
CATEGORIES:Clinical,Webinar
ATTACH;FMTTYPE=image/jpeg:https://staging.digitalinsights.supremeclients.com/wp-content/uploads/2024/05/S_1327_8_QDI_QCI_Hereditary_Gi1346512014.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20241014
DTEND;VALUE=DATE:20241017
DTSTAMP:20260403T220726
CREATED:20240923T184432Z
LAST-MODIFIED:20241024T183124Z
UID:10000809-1728864000-1729123199@staging.digitalinsights.supremeclients.com
SUMMARY:QIAGEN at VEPTC 2024
DESCRIPTION:Meet QIAGEN at the Variant Effect Prediction Training Course (VEPTC)\nThis year at the 2024 Variant Effect Prediction Training Course (VEPTC)\, QIAGEN will be showcasing our industry-leading next-generation sequencing (NGS) variant analysis\, interpretation and reporting solutions. Trusted to analyze and interpret more than 4 million NGS patient test cases\, QIAGEN Clinical Insight (QCI) is the industry’s leading clinical decision support platform by volume. Find out why nobody does variant analysis and interpretation better than QIAGEN at VEPTC 2024. \nLearn more and schedule a VIP meeting with our experts at VEPTC 2024 here.
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/qiagen-at-veptc-2024-2/
LOCATION:Palermo\, Italy
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