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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
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240306T130000
DTEND;TZID=America/New_York:20240306T150000
DTSTAMP:20260502T081515
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LAST-MODIFIED:20241024T183023Z
UID:10000731-1709730000-1709737200@staging.digitalinsights.supremeclients.com
SUMMARY:New user training: Large dataset analysis and knowledge base queries using QIAGEN Ingenuity Pathway Analysis (IPA)
DESCRIPTION:Join us for a 120-minute training session for new users of QIAGEN IPA. \nIn this training\, you’ll learn how to:  \n\nUpload your dataset (RNA-seq\, scRNA-seq\, proteomics\, metabolomics and more) and perform interactive core/pathway analysis in IPA\nUnderstand the different result types produced (pathways\, key regulators\, impact on biological functions/diseases and more)\nCompare different experimental conditions (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\nFor those with an IPA license\,\nTo install IPA before or after this training\, please use the 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-ingenuity-pathway-analysis-ipa-9/
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/New_York:20240307T110000
DTEND;TZID=America/New_York:20240307T120000
DTSTAMP:20260502T081515
CREATED:20240207T185132Z
LAST-MODIFIED:20241024T183019Z
UID:10000726-1709809200-1709812800@staging.digitalinsights.supremeclients.com
SUMMARY:Using COSMIC to predict\, identify\, and avoid mutational consequences of cancer therapies during early drug development and in patients
DESCRIPTION:Whether your lab is researching and developing targeted cancer therapies or you are analyzing and interpreting diagnostic tests at the point-of-care\, a critical part of your workflow is understanding the structural and functional impact of cancer-related mutations. \nThe Catalogue Of Somatic Mutations In Cancer (COSMIC) is an expert-curated database encompassing a wide variety of somatic mutation mechanisms causing human cancer. Containing more than 24 million somatic variants with detailed information on mutation distribution\, effects\, and signatures\, COSMIC helps users better predict the cancer-driving effects of mutations and identify available drugs that target specific variants. COSMIC continues to expand its utility with continuous updates to its Mutational Signatures\, the Cancer Mutation Census\, and Mutation Actionability in Precision Oncology products. \nTo illustrate key applications of these features\, this webinar will focus on how COSMIC can be used to avoid mutational consequences in cancer drug development and to detect mutational consequences of therapies in clinical diagnostics. \nThrough these clinical and discovery use cases\, attendees will: \n\nLearn how to use COSMIC to identify and prioritize coding and non-coding mutational hotspots\nUnderstand how COSMIC helps determine actionability of clinically approved homologous recombination deficiency signatures\nExplore future uses of non-coding and signature-based COSMIC content for drug development and potential clinical diagnostic applications
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/using-cosmic-to-predict-identify-and-avoid-mutational-consequences-of-cancer-therapies-during-early-drug-development-and-in-patients-2/
LOCATION:Virtual - Americas - EST\, United States
CATEGORIES:Clinical,Webinar
ATTACH;FMTTYPE=image/jpeg:https://staging.digitalinsights.supremeclients.com/wp-content/uploads/2024/05/QPRO-6076_WEBINAR_QCI_COSMIC_DrugDevelopment_16x9-002.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240314T130000
DTEND;TZID=America/New_York:20240314T143000
DTSTAMP:20260502T081515
CREATED:20240219T133254Z
LAST-MODIFIED:20241024T183023Z
UID:10000732-1710421200-1710426600@staging.digitalinsights.supremeclients.com
SUMMARY:Using ATCC cell line data for cell line selection\, validation and other applications
DESCRIPTION:Cancer cell line models have been a cornerstone of cancer research for decades. Profiling cancer cell lines can be a powerful tool to identify gene alterations or cancer-related pathways and aid in discovering putative drug targets. In this webinar\, we'll use QIAGEN OmicSoft Lands and QIAGEN Ingenuity Pathway Analysis (IPA) to help you select cell lines and translate insights from your cell line experiments for drug target discovery. \nDuring this 90-minute discussion\, we'll explore how you can use these software tools to:  \n• Select appropriate cancer cell lines for a variety of applications such as drug discovery\, precision disease modeling\, understanding gene function in cancer\, immune-oncology research\, and more\n• Examine various 'omics data for genes of interest for expression\, mutation\, hotspots\, and gene dependency data\n• Generate networks for hypotheses and test them in silico to improve the translation of insights derived from cell line models to drug target identification\n• Integrate analyses of public 'omics data and drug response phenotypes using cell line model systems by exploring data from the Library of Integrated Network-Based Cellular Signatures (LINCS)\n• Prioritize drug targets and profile phenotypic/downstream effects of drug action by overlaying public data on user-generated networks \nOur system uses millions of curated literature findings from the QIAGEN Knowledge Base and the OmicSoft digital warehouse. This discussion is intended for both those familiar with QIAGEN IPA and newcomers interested in learning more. 
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/using-atcc-cell-line-data-for-cell-line-selection-validation-and-other-applications/
LOCATION:Virtual - Americas - EST\, United States
CATEGORIES:Discovery,Webinar
ATTACH;FMTTYPE=image/jpeg:https://staging.digitalinsights.supremeclients.com/wp-content/uploads/2024/05/S_1276_1_QDI_QDI_ATCC_Generic.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240321T110000
DTEND;TZID=UTC:20240321T120000
DTSTAMP:20260502T081515
CREATED:20240222T171620Z
LAST-MODIFIED:20241024T183027Z
UID:10000735-1711018800-1711022400@staging.digitalinsights.supremeclients.com
SUMMARY:Expert Roundtable: Advances in Genomic Testing for Rare Disease Diagnostics
DESCRIPTION:Over the past decade\, whole-exome and whole-genome sequencing have transformed the diagnosis of patients with suspected rare genetic diseases. However\, despite recent advancements\, a large number of patients with rare genetic diseases remains undiagnosed for years because they have limited access to comprehensive genomic testing. \nIn this virtual roundtable of leading rare disease experts\, panelists will discuss: \n\nThe state of clinical genomic testing for rare disease at their institutions.\nHow recent advances in sequencing technology and data analysis\, including artificial intelligence (AI)\, are increasing diagnostic rate.\nHow barriers to patient access to testing can be removed to improve the care of all people living with rare genetic diseases.\n\n  \nPanelists:  \nDanny E. Miller\, MD\, PhD\nAssistant Professor\, Department of Pediatrics\, Division of Genetic Medicine\, University of Washington \nVaidehi Jobanputra\, PhD\, FACMG\nAssociate Professor of Pathology and Cell Biology\, Columbia University Medical Center \nGilad D. Evrony\, MD\, PhD\nAssistant Professor\, Departments of Pediatrics and Neuroscience and Physiology\, NYU School of Medicine\n\n\nMalte Spielmann\, MD\, PhD\nProfessor of Human Genetics\, University Hospital Schleswig-Holstein\, Germany
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/expert-roundtable-advances-in-genomic-testing-for-rare-disease-diagnostics/
CATEGORIES:Clinical,Webinar
ATTACH;FMTTYPE=image/jpeg:https://staging.digitalinsights.supremeclients.com/wp-content/uploads/2024/05/QPRO-6353_WEBINAR_QCI_Alissa_March_16x9.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240326T110000
DTEND;TZID=America/New_York:20240326T120000
DTSTAMP:20260502T081515
CREATED:20240207T214719Z
LAST-MODIFIED:20241024T183021Z
UID:10000728-1711450800-1711454400@staging.digitalinsights.supremeclients.com
SUMMARY:Agilent Alissa to QCI Interpret: How can your lab reduce the stress and complexity of transitioning to a new clinical informatics platform?
DESCRIPTION:In 2023\, Agilent announced the discontinuation of their Alissa Interpret clinical informatics platform by the end of 2024. As a result\, many of their current customers need to transition to a new variant interpretation and reporting software within a tight timeframe. However\, when evaluating new interpretation solutions\, clinical labs must consider a variety of factors\, including: \n\nContent quality for clinical reporting\nFlexibility to adapt current workflows to a new platform\nRetaining historical content and comments\nEase of personnel training\n\nIn this webinar\, learn about QCI Interpret\, a panel- and sequencer-agnostic clinical informatics platform for NGS variant interpretation and reporting of germline and somatic tests. Our experts will address the concerns of current Agilent Alissa users and discuss what sets QCI Interpret apart from other interpretation solutions. In addition\, we will show you how seamless it is to transition your historical data and comments into QCI Interpret\, as well as provide a live demonstration of the industry-leading and reliable software that has been used to analyze and interpret more than 3.5 million patient test cases worldwide. \n 
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/agilent-alissa-to-qci-interpret-how-can-your-lab-reduce-the-stress-and-complexity-of-transitioning-to-a-new-clinical-informatics-platform/
LOCATION:Virtual - Americas - EST\, United States
CATEGORIES:Clinical,Webinar
ATTACH;FMTTYPE=image/jpeg:https://staging.digitalinsights.supremeclients.com/wp-content/uploads/2024/05/QPRO-6432_WEBINAR_QCI_Conversion_March_16x9.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240326T130000
DTEND;TZID=America/New_York:20240326T143000
DTSTAMP:20260502T081515
CREATED:20240219T134033Z
LAST-MODIFIED:20241024T183026Z
UID:10000733-1711458000-1711463400@staging.digitalinsights.supremeclients.com
SUMMARY:Single-Cell RNA-Seq\, Cell Hashing\, and Spatial Transcriptomics
DESCRIPTION:A slide illustrating some of the many result types/graphics you will be able to generate after this training. https://qiagen.showpad.com/share/jYTCDPNfz1SdIMPQPSPYS  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. Specifically\, you will learn how to: • Import your raw FASTQ or processed cell-matrix files • Use pre-configured but customizable pipelines/workflows for single-cell RNA-seq data • Generate high-resolution visuals and other files from your analysis for publications and biopharmaceutical discoveries o Dimension reduction (UMAP\, t-SNE) plots o Differential expression tables for clusters\, cell types\, or a combination of both o Heat map o Dot plots o Violin plots • Learn how to use “Create Cell Annotations from Hashtags” for cell hashing\, as with CITE-seq • Dive 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/
LOCATION:Virtual - Americas - EST\, United States
CATEGORIES:Discovery,Webinar
ATTACH;FMTTYPE=image/jpeg:https://staging.digitalinsights.supremeclients.com/wp-content/uploads/2024/05/S_1064_6_OmicSoft-Single-Cell-Lands_QDI7303_16x9-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240328T130000
DTEND;TZID=America/New_York:20240328T143000
DTSTAMP:20260502T081515
CREATED:20240219T134411Z
LAST-MODIFIED:20241024T183026Z
UID:10000734-1711630800-1711636200@staging.digitalinsights.supremeclients.com
SUMMARY:Multi-omics (metabolomics\, proteomics\, transcriptomics) analysis using QIAGEN Ingenuity Pathway Analysis
DESCRIPTION:This 90-minute training session will show you how QIAGEN Ingenuity Pathway Analysis (IPA) visualizes molecular intricacies and variations at the transcriptome\, proteome and metabolome levels. Through a series of brief technical vignettes\, you will learn how to: • Generate associations among molecular signatures obtained by integrating multi-omics data  • Extract mechanisms from multi-omics data for precision medicine  • Disease stratification based on multi-omics profiles  • Map disease networks among targets and indications 
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/multi-omics-metabolomics-proteomics-transcriptomics-analysis-using-qiagen-ingenuity-pathway-analysis-3-2/
LOCATION:Virtual - Americas - EST\, United States
CATEGORIES:Discovery,Training
ATTACH;FMTTYPE=image/jpeg:https://staging.digitalinsights.supremeclients.com/wp-content/uploads/2024/05/S_1062_0_IPA_Challenger_029613_16x9_Large-1200px_54798.jpg
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