BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Bioinformatics Software | QIAGEN Digital Insights - ECPv6.15.17.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Bioinformatics Software | QIAGEN Digital Insights
X-ORIGINAL-URL:https://staging.digitalinsights.supremeclients.com
X-WR-CALDESC:Events for Bioinformatics Software | QIAGEN Digital Insights
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Halifax
BEGIN:DAYLIGHT
TZOFFSETFROM:-0400
TZOFFSETTO:-0300
TZNAME:ADT
DTSTART:20230312T060000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0300
TZOFFSETTO:-0400
TZNAME:AST
DTSTART:20231105T050000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0400
TZOFFSETTO:-0300
TZNAME:ADT
DTSTART:20240310T060000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0300
TZOFFSETTO:-0400
TZNAME:AST
DTSTART:20241103T050000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0400
TZOFFSETTO:-0300
TZNAME:ADT
DTSTART:20250309T060000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0300
TZOFFSETTO:-0400
TZNAME:AST
DTSTART:20251102T050000
END:STANDARD
END:VTIMEZONE
BEGIN:VTIMEZONE
TZID:Europe/Helsinki
BEGIN:DAYLIGHT
TZOFFSETFROM:+0200
TZOFFSETTO:+0300
TZNAME:EEST
DTSTART:20230326T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0300
TZOFFSETTO:+0200
TZNAME:EET
DTSTART:20231029T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0200
TZOFFSETTO:+0300
TZNAME:EEST
DTSTART:20240331T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0300
TZOFFSETTO:+0200
TZNAME:EET
DTSTART:20241027T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0200
TZOFFSETTO:+0300
TZNAME:EEST
DTSTART:20250330T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0300
TZOFFSETTO:+0200
TZNAME:EET
DTSTART:20251026T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20240710T130000
DTEND;TZID=America/Halifax:20240710T140000
DTSTAMP:20260403T192829
CREATED:20240808T095716Z
LAST-MODIFIED:20241024T182413Z
UID:10000559-1720616400-1720620000@staging.digitalinsights.supremeclients.com
SUMMARY:QIAGEN Ingenuity Pathway Analysis (IPA) summer camp - Session#2
DESCRIPTION:Join us for three 60-minute training sessions for QIAGEN Ingenuity Pathway Analysis (IPA). \n  \nIn this training\, you’ll learn how to: \n  \nTuesday July 9 – Session#1: 1pm ET/10am PT \n\nIPA general overview\nUpload your dataset (RNA-seq\, scRNA-seq\, proteomics\, metabolomics and more)\nSet up core/pathway analysis in IPA\n\n  \nWednesday July 10 – Session#2: 1pm ET/10am PT \n\nUnderstand the different result types produced (pathways\, key regulators\, and more)\nCustomize chart outputs using filters and different chart types like a volcano plot like bubble chart\n\n  \nThursday July 11 – Session#3: 1pm ET/10am PT \n\nCompare different experimental conditions (different ‘omics data\, treatments\, time points\, single-cell clusters\, disease types and more) and identify similarities and contrasts\nGenerate a network even without a dataset or experimental design for hypothesis generation\n\n  \nIf you are able to attend\, then we will have additional scientists on the call for Q&A. If you are unable to attend\, registering will still allow you to view the recordings.
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/qiagen-ingenuity-pathway-analysis-ipa-summer-camp-session2-2/
LOCATION:HSMD-screen-grab-2
ATTACH;FMTTYPE=image/jpeg:https://staging.digitalinsights.supremeclients.com/wp-content/uploads/2024/08/S_1233_1_QDI_QDI_IPA_AOP_16x9_63871_Large-1200px-6.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20240711T130000
DTEND;TZID=America/Halifax:20240711T140000
DTSTAMP:20260403T192829
CREATED:20240618T121756Z
LAST-MODIFIED:20241024T183048Z
UID:10000773-1720702800-1720706400@staging.digitalinsights.supremeclients.com
SUMMARY:QIAGEN Ingenuity Pathway Analysis (IPA) summer camp - Session#3
DESCRIPTION:Join us for three 60-minute training sessions for QIAGEN Ingenuity Pathway Analysis (IPA). \n  \nIn this training\, you’ll learn how to: \n  \nTuesday July 9 – Session#1: 1pm ET/10am PT \n\nIPA general overview\nUpload your dataset (RNA-seq\, scRNA-seq\, proteomics\, metabolomics and more)\nSet up core/pathway analysis in IPA\n\n  \nWednesday July 10 – Session#2: 1pm ET/10am PT \n\nUnderstand the different result types produced (pathways\, key regulators\, and more)\nCustomize chart outputs using filters and different chart types like a volcano plot like bubble chart\n\n  \nThursday July 11 – Session#3: 1pm ET/10am PT \n\nCompare different experimental conditions (different ‘omics data\, treatments\, time points\, single-cell clusters\, disease types and more) and identify similarities and contrasts\nGenerate a network even without a dataset or experimental design for hypothesis generation\n\n  \nIf you are able to attend\, then we will have additional scientists on the call for Q&A. If you are unable to attend\, registering will still allow you to view the recordings.
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/qiagen-ingenuity-pathway-analysis-ipa-summer-camp-session3/
LOCATION:Virtual - Americas - EST\, United States
CATEGORIES:Discovery,Event
ATTACH;FMTTYPE=image/jpeg:https://staging.digitalinsights.supremeclients.com/wp-content/uploads/2024/05/S_1233_1_QDI_QDI_IPA_AOP_16x9_63871_Large-1200px.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20240711T130000
DTEND;TZID=America/Halifax:20240711T140000
DTSTAMP:20260403T192829
CREATED:20240808T095716Z
LAST-MODIFIED:20241024T182415Z
UID:10000558-1720702800-1720706400@staging.digitalinsights.supremeclients.com
SUMMARY:QIAGEN Ingenuity Pathway Analysis (IPA) summer camp - Session#3
DESCRIPTION:Join us for three 60-minute training sessions for QIAGEN Ingenuity Pathway Analysis (IPA). \n  \nIn this training\, you’ll learn how to: \n  \nTuesday July 9 – Session#1: 1pm ET/10am PT \n\nIPA general overview\nUpload your dataset (RNA-seq\, scRNA-seq\, proteomics\, metabolomics and more)\nSet up core/pathway analysis in IPA\n\n  \nWednesday July 10 – Session#2: 1pm ET/10am PT \n\nUnderstand the different result types produced (pathways\, key regulators\, and more)\nCustomize chart outputs using filters and different chart types like a volcano plot like bubble chart\n\n  \nThursday July 11 – Session#3: 1pm ET/10am PT \n\nCompare different experimental conditions (different ‘omics data\, treatments\, time points\, single-cell clusters\, disease types and more) and identify similarities and contrasts\nGenerate a network even without a dataset or experimental design for hypothesis generation\n\n  \nIf you are able to attend\, then we will have additional scientists on the call for Q&A. If you are unable to attend\, registering will still allow you to view the recordings.
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/qiagen-ingenuity-pathway-analysis-ipa-summer-camp-session3-2/
LOCATION:HSMD-screen-grab-2
ATTACH;FMTTYPE=image/jpeg:https://staging.digitalinsights.supremeclients.com/wp-content/uploads/2024/08/S_1233_1_QDI_QDI_IPA_AOP_16x9_63871_Large-1200px-7.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20240717T130000
DTEND;TZID=America/Halifax:20240717T143000
DTSTAMP:20260403T192829
CREATED:20240618T122221Z
LAST-MODIFIED:20241024T183049Z
UID:10000774-1721221200-1721226600@staging.digitalinsights.supremeclients.com
SUMMARY:De novo assembly\, BLAST and genome finishing with QIAGEN CLC Genomics Workbench
DESCRIPTION:Description \nThis webinar will introduce users to the tools available for short reads (Illumina) as well as long reads (Oxford Nanopore\, Pac Bio) de novo assembly in CLC Genomics Workbench. It will also go over other useful functionalities such as BLAST and genome finishing. \n  \nParticipants will learn the following: \n  \no Download and install needed plugins. \no Import data required for the analysis. \no Run the de novo assembly workflow. \no For long reads\, improve a de novo assembly by polishing with short\, high-quality reads. \no Map reads to a reference and visualize an assembly. \no For long reads\, correct raw long reads for further analysis. \no Use BLAST to investigate the contigs. \no Analyze and assemble contigs through Genome Finishing tools.
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/de-novo-assembly-blast-and-genome-finishing-with-qiagen-clc-genomics-workbench/
LOCATION:Virtual - Americas - EST\, United States
CATEGORIES:Discovery,Training
ATTACH;FMTTYPE=image/jpeg:https://staging.digitalinsights.supremeclients.com/wp-content/uploads/2024/05/S_1109_4_QDI_CLC_Challenger_Or55819-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20240717T130000
DTEND;TZID=America/Halifax:20240717T143000
DTSTAMP:20260403T192829
CREATED:20240808T095715Z
LAST-MODIFIED:20241024T182416Z
UID:10000557-1721221200-1721226600@staging.digitalinsights.supremeclients.com
SUMMARY:De novo assembly\, BLAST and genome finishing with QIAGEN CLC Genomics Workbench
DESCRIPTION:Description \nThis webinar will introduce users to the tools available for short reads (Illumina) as well as long reads (Oxford Nanopore\, Pac Bio) de novo assembly in CLC Genomics Workbench. It will also go over other useful functionalities such as BLAST and genome finishing. \n  \nParticipants will learn the following: \n  \no Download and install needed plugins. \no Import data required for the analysis. \no Run the de novo assembly workflow. \no For long reads\, improve a de novo assembly by polishing with short\, high-quality reads. \no Map reads to a reference and visualize an assembly. \no For long reads\, correct raw long reads for further analysis. \no Use BLAST to investigate the contigs. \no Analyze and assemble contigs through Genome Finishing tools.
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/de-novo-assembly-blast-and-genome-finishing-with-qiagen-clc-genomics-workbench-2/
LOCATION:HSMD-screen-grab-2
ATTACH;FMTTYPE=image/jpeg:https://staging.digitalinsights.supremeclients.com/wp-content/uploads/2024/08/S_1109_4_QDI_CLC_Challenger_Or55819-1-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20240718T130000
DTEND;TZID=America/Halifax:20240718T143000
DTSTAMP:20260403T192829
CREATED:20240618T122524Z
LAST-MODIFIED:20241024T183049Z
UID:10000775-1721307600-1721313000@staging.digitalinsights.supremeclients.com
SUMMARY:Antimicrobial resistance (AMR) and multi-locus sequence typing (MLST) with QIAGEN CLC Genomics Workbench
DESCRIPTION:You asked for it by popular demand\, and we’re here to deliver. In this training\, we’ll cover how antimicrobial resistance (AMR) is used for isolation or can be easily integrated with other functionalities such as multi-locus sequence typing (MLST). \nIn this training\, we’ll cover: \n\nIntroduction to AMR\, MLST and relevant databases\nQIAGEN Microbial Insight - Antimicrobial Resistance database (QMI-AR)\nImporting data and downloading needed databases\nFinding resistance with nucleotide DB\, PointFinder and ShortBRED\nIntegrating AMR with MLST\nExporting high-resolution graphics and result tables.
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/antimicrobial-resistance-amr-and-multi-locus-sequence-typing-mlst-with-qiagen-clc-genomics-workbench/
LOCATION:Virtual - Americas - EST\, United States
CATEGORIES:Discovery,Training
ATTACH;FMTTYPE=image/jpeg:https://staging.digitalinsights.supremeclients.com/wp-content/uploads/2024/05/S_1108_8_QDI_CLC_Challenger_Or54963_16x9_56810_Large-1200px-2.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20240718T130000
DTEND;TZID=America/Halifax:20240718T143000
DTSTAMP:20260403T192829
CREATED:20240808T095715Z
LAST-MODIFIED:20241024T182417Z
UID:10000556-1721307600-1721313000@staging.digitalinsights.supremeclients.com
SUMMARY:Antimicrobial resistance (AMR) and multi-locus sequence typing (MLST) with QIAGEN CLC Genomics Workbench
DESCRIPTION:You asked for it by popular demand\, and we’re here to deliver. In this training\, we’ll cover how antimicrobial resistance (AMR) is used for isolation or can be easily integrated with other functionalities such as multi-locus sequence typing (MLST). \nIn this training\, we’ll cover: \n\nIntroduction to AMR\, MLST and relevant databases\nQIAGEN Microbial Insight - Antimicrobial Resistance database (QMI-AR)\nImporting data and downloading needed databases\nFinding resistance with nucleotide DB\, PointFinder and ShortBRED\nIntegrating AMR with MLST\nExporting high-resolution graphics and result tables.
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/antimicrobial-resistance-amr-and-multi-locus-sequence-typing-mlst-with-qiagen-clc-genomics-workbench-2/
LOCATION:HSMD-screen-grab-2
ATTACH;FMTTYPE=image/jpeg:https://staging.digitalinsights.supremeclients.com/wp-content/uploads/2024/08/S_1108_8_QDI_CLC_Challenger_Or54963_16x9_56810_Large-1200px-2-8.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20240723T130000
DTEND;TZID=America/Halifax:20240723T140000
DTSTAMP:20260403T192829
CREATED:20240718T161933Z
LAST-MODIFIED:20241024T183050Z
UID:10000777-1721739600-1721743200@staging.digitalinsights.supremeclients.com
SUMMARY:Assessing drug safety with QIAGEN Biomedical KB-AI
DESCRIPTION:Are you a healthcare professional\, clinical researcher or data scientist interested in drug safety research? If so\, you know how vital understanding a drug’s adverse effects is to maximize its effect while minimizing its risks. This webinar will show how the QIAGEN Biomedical KB-AI knowledge graph can be used to explore scientific and pharmacovigilance data. Focusing on immune checkpoint inhibitors (ICIs)\, we will also demonstrate how Neo4j and Python can be combined to query\, visualize and analyze this data effectively. \nWe’ll cover the following: \n\nDrug safety profiling in Biomedical KB-AI\nPharmacovigilance case study of ICIs: Pembrolizumab\nComparative analysis of ICIs for comprehensive safety monitoring
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/assessing-drug-safety-with-qiagen-biomedical-kb-ai/
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:20240723T130000
DTEND;TZID=America/Halifax:20240723T140000
DTSTAMP:20260403T192829
CREATED:20240808T095714Z
LAST-MODIFIED:20241024T182418Z
UID:10000555-1721739600-1721743200@staging.digitalinsights.supremeclients.com
SUMMARY:Assessing drug safety with QIAGEN Biomedical KB-AI
DESCRIPTION:Are you a healthcare professional\, clinical researcher or data scientist interested in drug safety research? If so\, you know how vital understanding a drug’s adverse effects is to maximize its effect while minimizing its risks. This webinar will show how the QIAGEN Biomedical KB-AI knowledge graph can be used to explore scientific and pharmacovigilance data. Focusing on immune checkpoint inhibitors (ICIs)\, we will also demonstrate how Neo4j and Python can be combined to query\, visualize and analyze this data effectively. \nWe’ll cover the following: \n\nDrug safety profiling in Biomedical KB-AI\nPharmacovigilance case study of ICIs: Pembrolizumab\nComparative analysis of ICIs for comprehensive safety monitoring
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/assessing-drug-safety-with-qiagen-biomedical-kb-ai-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.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20240724T130000
DTEND;TZID=America/Halifax:20240724T143000
DTSTAMP:20260403T192829
CREATED:20240618T122844Z
LAST-MODIFIED:20241024T183049Z
UID:10000776-1721826000-1721831400@staging.digitalinsights.supremeclients.com
SUMMARY:Checkpoint inhibitor and immuno-oncology investigation through OmicSoft Lands APIs
DESCRIPTION:While there is great interest in the scientific community to investigate drug targets and biomarkers from public immune-oncology data\, such investigation is hindered by the difficulty in finding and combining related datasets to perform large-scale meta-analyses. This webinar will focus on how high quality curated genomic repositories such as the QIAGEN OmicSoft Lands database immediately allows in-depth investigations across diverse data-sources (GEO\, CPTAC\, TCGA\, GTEx and many more) to discover and validate candidate checkpoint inhibitor drug targets and biomarker investigation. \nIn this webinar you will learn how to \n\nEasily identify relevant samples using extensive manually curated clinical metadata\nVisualize and identify checkpoint inhibition biology related drug target and biomarkers expression patterns in bulk and single cell RNA-seq studies.\nReveal how the expression of a group of biomarkers (or genes/proteins of interest) correlates in normal and disease tissue
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/checkpoint-inhibitor-and-immuno-oncology-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/2024/05/S_1052_1_QDI_OmicSoft_16x9.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20240724T130000
DTEND;TZID=America/Halifax:20240724T143000
DTSTAMP:20260403T192829
CREATED:20240724T173808Z
LAST-MODIFIED:20241024T183054Z
UID:10000784-1721826000-1721831400@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-2/
LOCATION:Virtual - Americas - EST\, United States
CATEGORIES:Discovery,Webinar
ATTACH;FMTTYPE=image/jpeg:https://staging.digitalinsights.supremeclients.com/wp-content/uploads/2024/08/S_1032_8_QDI_IPAlandExplorer_Gi1170740969_TME-training_promo_16x9.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20240724T130000
DTEND;TZID=America/Halifax:20240724T143000
DTSTAMP:20260403T192829
CREATED:20240808T095715Z
LAST-MODIFIED:20241024T182418Z
UID:10000554-1721826000-1721831400@staging.digitalinsights.supremeclients.com
SUMMARY:Checkpoint inhibitor and immuno-oncology investigation through OmicSoft Lands APIs
DESCRIPTION:While there is great interest in the scientific community to investigate drug targets and biomarkers from public immune-oncology data\, such investigation is hindered by the difficulty in finding and combining related datasets to perform large-scale meta-analyses. This webinar will focus on how high quality curated genomic repositories such as the QIAGEN OmicSoft Lands database immediately allows in-depth investigations across diverse data-sources (GEO\, CPTAC\, TCGA\, GTEx and many more) to discover and validate candidate checkpoint inhibitor drug targets and biomarker investigation. \nIn this webinar you will learn how to \n\nEasily identify relevant samples using extensive manually curated clinical metadata\nVisualize and identify checkpoint inhibition biology related drug target and biomarkers expression patterns in bulk and single cell RNA-seq studies.\nReveal how the expression of a group of biomarkers (or genes/proteins of interest) correlates in normal and disease tissue
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/checkpoint-inhibitor-and-immuno-oncology-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_1052_1_QDI_OmicSoft_16x9-3.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20240730T130000
DTEND;TZID=America/Halifax:20240730T140000
DTSTAMP:20260403T192829
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:20260403T192829
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:20260403T192829
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:20260403T192829
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:20260403T192829
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:20260403T192829
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:20260403T192829
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:20260403T192829
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:20260403T192829
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:20260403T192829
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:20260403T192829
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:20260403T192829
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:20260403T192829
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:20260403T192829
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:20260403T192829
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:20260403T192829
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:20260403T192829
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:20260403T192829
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
END:VCALENDAR