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X-ORIGINAL-URL:https://staging.digitalinsights.supremeclients.com
X-WR-CALDESC:Events for Bioinformatics Software | QIAGEN Digital Insights
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BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20230803T130000
DTEND;TZID=America/Halifax:20230803T143000
DTSTAMP:20260504T074638
CREATED:20230418T121024Z
LAST-MODIFIED:20241024T182854Z
UID:10000630-1691067600-1691073000@staging.digitalinsights.supremeclients.com
SUMMARY:New user training: Large dataset analysis and knowledge base queries using QIAGEN IPA
DESCRIPTION:Join us for a 90-minute training session for new users of QIAGEN IPA. \nIn this training\, you’ll learn how to:\n• Upload your dataset (RNA-seq\, scRNA-seq\, proteomics\, metabolomics and more) and perform interactive core/pathway analysis in IPA\n• Understand the different result types produced (pathways\, key regulators\, impact on biological functions/diseases and more)\n• Compare different experimental conditions (treatments\, time points\, single-cell clusters\, disease types and more) and identify similarities and contrasts\n• Generate a network even without a dataset or experimental design for hypothesis generation \nFor those with IPA license\,\nTo install IPA before or after this training\, please use below installer.\nhttps://qiagen.showpad.com/share/CBv30blCPKFDUYHRWtAvI
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/new-user-training-large-dataset-analysis-and-knowledge-base-queries-using-qiagen-ipa/
LOCATION:Virtual - Americas - EST\, United States
CATEGORIES:Discovery,Training
ATTACH;FMTTYPE=image/jpeg:https://staging.digitalinsights.supremeclients.com/wp-content/uploads/2024/05/S_5526_IPAphosphoproteomicsData_Large-1200px_37427-1-1140x793-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20230808T130000
DTEND;TZID=UTC:20230808T143000
DTSTAMP:20260504T074638
CREATED:20230712T153022Z
LAST-MODIFIED:20241024T182917Z
UID:10000653-1691499600-1691505000@staging.digitalinsights.supremeclients.com
SUMMARY:Indication expansion and drug repurposing using QIAGEN OmicSoft and Ingenuity Pathway Analysis
DESCRIPTION:Research and development for new drugs and disease treatments can be lengthy and costly. Indication expansion can help broaden the impact of a new drug that has already been through the arduous R&D process for a disease or cancer. Drug repurposing can take this concept and expand on it by looking for other diseases with similar drug target biology. The logic is if they share similar target biology\, they may benefit from the same treatment. \nDuring this training\, we'll cover skills such as:\n• Querying QIAGEN OmicSoft Lands data from sources like TCGA or ICGC and exploring the incidence of a cancer-driving somatic mutation that is targeted by a treatment\n• Creating a cohort of patients within OmicSoft with a disease-causing mutation and wild type for the gene of interest\n• Generating survival curves for each mutant and wild type group for various indications in the relevant OmicSoft Land\n• Using QIAGEN Ingenuity Pathway Analysis (IPA) to generate a mechanism of action network for the drug's target\n• Exploring various network overlay features to enable in silico testing and combination drug partner investigation\n• Searching for publicly available datasets relevant to your chosen indication\n• Comparing the expression profile from our disease state with other publicly available analyses to find other indications or diseases that share similar biology
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/indication-expansion-and-drug-repurposing-using-qiagen-omicsoft-and-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_1036_9_QDI_IPAviral_Gi683847570_16x9_Large-1200px_53562.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20230810T130000
DTEND;TZID=America/Halifax:20230810T143000
DTSTAMP:20260504T074638
CREATED:20230712T153833Z
LAST-MODIFIED:20241024T182917Z
UID:10000654-1691672400-1691677800@staging.digitalinsights.supremeclients.com
SUMMARY:Interpreting genetic risk loci from GWAS in the context of key genes and pathways using QIAGEN Ingenuity Pathway Analysis
DESCRIPTION:Genome-wide association studies (GWAS) provide insights into the genetic architecture of disease by identifying susceptibility loci for the disease within a population. If you'd like to identify disease genes and novel biological pathways that underlay the disease pathogenesis to identify novel drug targets\, QIAGEN Ingenuity Pathway Analysis (IPA) helps you characterize and validate risk loci within a biological context. In this training\, you'll discover how to perform a core analysis for a list of risk loci to study their association with different pathways and regulatory networks. \nYou'll learn how to:\n• Upload and perform a core analysis on a list of GWAS risk loci\n• Investigate pathways and regulatory networks to understand biological mechanisms\n• Compare enrichment between risk loci analysis to identify biological similarities and difference\n• Identify commonalities and differences between risk loci list\n• Generate a custom network and contextualize it using public data\n• Export high-resolution images and comprehensive tabular results in preferred formats
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/interpreting-genetic-risk-loci-from-gwas-in-the-context-of-key-genes-and-pathways-using-qiagen-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_9343_QDI_IPA_Gi615617548_V2_16x9_Medium-720px_49299.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20230815T130000
DTEND;TZID=America/Halifax:20230815T143000
DTSTAMP:20260504T074638
CREATED:20230712T154440Z
LAST-MODIFIED:20241024T182918Z
UID:10000655-1692104400-1692109800@staging.digitalinsights.supremeclients.com
SUMMARY:Part I: Single-cell RNA sequencing data analysis using QIAGEN CLC Genomics Workbench
DESCRIPTION:This two-part series will walk you through single-cell RNA sequencing (scRNA-seq) analysis starting with a matrix file or FASTQ files and ending with a deep understanding of key pathways\, regulators and cell type signatures within your data. \nThis session is for part I of this training. In this session\, you'll learn to use QIAGEN CLC Genomics Workbench to perform secondary analysis on your scRNA-seq data. Specifically\, you will learn how to:\n• Import your raw FASTQ or processed cell-matrix files\n• Use pre-configured but customizable pipelines/workflows for scRNA-seq data\n• Generate high-resolution visuals and other files from your analysis for publications and biopharmaceutical discoveries. These include: \no UMAP\, t-SNE plots\no Differential expression table for clusters\, cell types\, or a combination of both\no Heat map\no Dot plots\no Violin plots \nPart II of this training takes place on Wednesday\, Aug. 16. It focuses on interpreting scRNA-seq data using QIAGEN Ingenuity Pathway Analysis (IPA) to understand key pathways\, regulators and cell type signatures within your data. Here you can register for Part II: https://qiagen.zoom.us/webinar/register/4716889476421/WN_IA23wGOhQMa_dSc6QJiTkw
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/part-i-single-cell-rna-sequencing-data-analysis-using-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:20230816T130000
DTEND;TZID=America/Halifax:20230816T143000
DTSTAMP:20260504T074638
CREATED:20230712T154833Z
LAST-MODIFIED:20241024T182918Z
UID:10000656-1692190800-1692196200@staging.digitalinsights.supremeclients.com
SUMMARY:Part II: Single-cell RNA sequencing data interpretation using QIAGEN Ingenuity Pathway Analysis
DESCRIPTION:This two-part series will walk you through single-cell RNA sequencing (scRNA-seq) analysis starting with a matrix file or FASTQ files and ending with a deep understanding of key pathways\, regulators and cell type signatures within your data. \nIn this session\, we'll explore how you can take your scRNA-seq differential expression results produced from QIAGEN CLC Genomics Workbench (or from another software/package) and upload them into QIAGEN Ingenuity Pathway Analysis (IPA) to uncover a deep understanding of the biology in your experiment by exploring enrichment and activity prediction for pathways\, regulators and more. \nSpecifically\, you'll learn how to:\n• Import data using the QIAGEN IPA plugin from QIAGEN CLC or data generated from a different software/pipeline/package\n• Explore canonical pathway enrichment and predicted activity for your comparisons\n• Find key regulators that may be responsible for the biology in your experiment\n• Compare multiple core analyses and see side-by-side results for various cell types\, clusters and more\n• Compare the expression patterns for pathways and regulators in your dataset with over 135\,000 precomputed public analyses in IPA\n• Compare your complete analysis signature with over 135\,000 precomputed public analyses in IPA \nPart I takes place on Tuesday\, Aug. 15 and focuses on the secondary analysis of scRNA-seq data using QIAGEN CLC Genomics Workbench. You'll learn to explore differential expression\, UMAP\, dot plot and more. Here you can register for Part I: https://qiagen.zoom.us/webinar/register/2216662770217/WN_oZyIwr-uQAybn5c4G88HLA
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/part-ii-single-cell-rna-sequencing-data-interpretation-using-qiagen-ingenuity-pathway-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_1108_8_QDI_CLC_Challenger_Or54963_16x9_56810_Large-1200px-2.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20230817T130000
DTEND;TZID=America/Halifax:20230817T143000
DTSTAMP:20260504T074638
CREATED:20230712T155715Z
LAST-MODIFIED:20241024T182920Z
UID:10000657-1692277200-1692282600@staging.digitalinsights.supremeclients.com
SUMMARY:Immune repertoire analysis using QIAGEN CLC Genomics Workbench
DESCRIPTION:The composition of the immune repertoire\, consisting of the T cell and B cell receptors (TCR and BCR)\, is important for an organism's adaptive immune system and plays a pivotal role in an individual's overall health. Understanding the complex array of TCR and BCR allows for developing precision medicine and immunotherapy. Analyzing next-generation sequencing (NGS) data from RNA-seq experiments to characterize and understand TCR and BCR clonotypes may aid in identifying cases that could benefit from personalized immunotherapy or potentially predict therapeutic outcomes. \nIn this training\, we'll use QIAGEN CLC Genomics Workbench to analyze immune repertoire NGS data generated from RNA-seq or single-cell RNA-seq data. Together we'll explore how to import\, analyze and interpret your NGS data. Specifically\, you'll learn how to: \n-Import NGS data into QIAGEN CLC Genomics Workbench \n-Analyze the data using template workflows \n-Interpret the results using the interactive graphics produced by the workflows
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/immune-repertoire-analysis-using-qiagen-clc-genomics-workbench/
LOCATION:Virtual - Americas - EST\, United States
CATEGORIES:Discovery,Webinar
ATTACH;FMTTYPE=image/jpeg:https://staging.digitalinsights.supremeclients.com/wp-content/uploads/2024/05/S_1234_7_QDI_QDI_CLC_GMP_16x9_64276_Large-1200px.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20230822T130000
DTEND;TZID=America/Halifax:20230822T143000
DTSTAMP:20260504T074638
CREATED:20230712T160211Z
LAST-MODIFIED:20241024T182920Z
UID:10000658-1692709200-1692714600@staging.digitalinsights.supremeclients.com
SUMMARY:Compare and contextualize your results using QIAGEN Ingenuity Pathway Analysis (with Summer 2023 update)
DESCRIPTION:Take your QIAGEN Ingenuity Pathway Analysis (IPA) analyses to the next level by comparing them to your own analyses (different time points\, treatments\, cell lines\, diseased and more) or to a library of over 100K precomputed datasets to find similar or opposite biological signatures. Identify key genes or entities and then explore how they are expressed across normal tissues\, diseases and more from over 600K biological samples to gain deep context. \nIn this training\, you'll learn how to: \n• Get advanced insights with the QIAGEN IPA Analysis Match comparison feature to compare large numbers of your own datasets and/or public datasets (from GEO\, SRA\, cancer collections and more)\n• Use and interpret the IPA Activity Plot feature to identify key genes and regulators common across datasets\n• Explore identified key genes in Land Explorer to query and visualize expression across tissues\, disease states and mutation status\, including survival curves \nWe will feature these specific IPA analyses:\n• Analysis Match\, Activity Plot and Pattern Search\n• Land Explorer\n• Summer 2023 update and more \nFor those with an IPA license:\n• To install IPA before or after the training\, please use the below installer: https://qiagen.showpad.com/share/CBv30blCPKFDUYHRWtAvI \nConsider reviewing the below (recommended but not required): \nIPA beginner training: recording:https://qiagen.showpad.com/share/t2cGMdF3NjVucBA0b9tIT \nIPA step-by-step guide w/ data format (slide 9) and upload (slide 28) instructions: https://qiagen.showpad.com/share/VjizSLJVBw1qfVnyoVJ8B
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/compare-and-contextualize-your-results-using-qiagen-ingenuity-pathway-analysis-with-summer-2023-update/
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:20230829T130000
DTEND;TZID=America/Halifax:20230829T143000
DTSTAMP:20260504T074638
CREATED:20230712T160826Z
LAST-MODIFIED:20241024T182921Z
UID:10000659-1693314000-1693319400@staging.digitalinsights.supremeclients.com
SUMMARY:Drug treatment\, toxicology and target safety assessment using QIAGEN IPA and OmicSoft
DESCRIPTION:In this 90-minute training\, you'll learn how to perform drug treatment\, toxicology and target safety assessment-related discoveries using QIAGEN Ingenuity Pathway Analysis (IPA) and QIAGEN Omicsoft Lands. \nUsing public data from GTEx (normal tissue)\, GEO\, cancer collections and more\, you'll learn how to use Omicsoft Lands to:\n• Investigate a drug target or biomarker expression across different normal tissues\, disease conditions\, treatments and more\n• Correlate the expression of two or more genes\n• Identify a list of genes or biomarkers specific to treatment\, disease\, normal tissue\, cell type and more \nUsing findings from peer-reviewed publications and other sources\, we'll explore with you how to use QIAGEN IPA to:\n• Study the impact of targeting a gene/protein on different toxicological and biological functions\n• Derive toxicity findings for a gene of interest from QIAGEN IPA's knowledgebase\n• Identify and study toxicity-related pathways\, regulators and functions for an internal dataset or a public dataset\n• Compare different drug treatments\, other conditions or multi-omics data for novel discoveries
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/drug-treatment-toxicology-and-target-safety-assessment-using-qiagen-ipa-and-omicsoft-3/
LOCATION:Virtual - Americas - EST\, United States
CATEGORIES:Discovery,Webinar
ATTACH;FMTTYPE=image/jpeg:https://staging.digitalinsights.supremeclients.com/wp-content/uploads/2024/05/S_9308_BIOX_OmicSoft_Gi576919878_V2_Large-1200px_47746.jpg
END:VEVENT
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