Join us for three 60-minute training sessions for QIAGEN Ingenuity Pathway Analysis (IPA).
In this training, you’ll learn how to:
Tuesday July 9 – Session#1: 1pm ET/10am PT
Wednesday July 10 – Session#2: 1pm ET/10am PT
Thursday July 11 – Session#3: 1pm ET/10am PT
If 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.
Join us for three 60-minute training sessions for QIAGEN Ingenuity Pathway Analysis (IPA).
In this training, you’ll learn how to:
Tuesday July 9 – Session#1: 1pm ET/10am PT
Wednesday July 10 – Session#2: 1pm ET/10am PT
Thursday July 11 – Session#3: 1pm ET/10am PT
If 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.
Join us for three 60-minute training sessions for QIAGEN Ingenuity Pathway Analysis (IPA).
In this training, you’ll learn how to:
Tuesday July 9 – Session#1: 1pm ET/10am PT
Wednesday July 10 – Session#2: 1pm ET/10am PT
Thursday July 11 – Session#3: 1pm ET/10am PT
If 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.
QIAGEN Ingenuity Pathway Analysis (IPA) is more than just an analysis program; it can also help you write grants and publications. IPA provides biological insights backed by expert-curated findings and thousands of pre-analyzed multiomics datasets. You can search for existing knowledge on molecules of interest, build networks and review results from public studies. Or you can identify key pathways, regulatory molecules and functional changes in your results and see how your data relates to published studies.
Join us to learn how to:
• Search IPA’s vast collection of curated literature and omics data
• Relate molecules to phenotypes and functions
• Build your own networks and predict activity changes
• Explore a library of over 90,000 precomputed IPA analyses pulled from publicly available studies
• Format your dataset and set up an analysis
• Deeply interrogate key Canonical Pathways
• Predict regulators causing your observed expression changes
• Contextualize your results by comparing them to internal and public data
• Generate the necessary tables and figures for your manuscript
Do you already have an IPA license? Install IPA and start using it now: https://qiagen.showpad.com/share/CBv30blCPKFDUYHRWtAvI
Learn more about IPA or request a free trial: https://digitalinsights.qiagen.com/products-overview/discovery-insights-portfolio/analysis-and-visualization/qiagen-ipa/
Per attendees’ requests from a recent training, we are hosting this in-depth training focused on effectively constructing a network, with or without a dataset (RNA-seq, proteomics, etc.), and easily modifying it – all within Ingenuity Pathway Analysis.
In this interactive training, attendees will learn how to:
• Construct a network from scratch or open a network/pathway of interest from their analysis or the Ingenuity Knowledge Base
• Effectively use tools present in the Build and Overlay menus to add molecules (genes/proteins, chemicals, metabolites), biological processes/diseases of their interest and more
• Modify the network (e.g., to keep only a specific type of relationship like activation, phosphorylation, protein-protein binding and more)
• Perform in silico prediction (e.g., if a drug, siRNA or CRISPR were to reduce the activity of a gene/protein, how will it impact the remaining genes/proteins/diseases in that network)
• Export high-resolution graphics or tabular relationships and make the created network usable in future pathway analysis
Additional QIAGEN Digital Insights (QDI) scientists will be on the call to answer your questions and help with other concerns, such as installing the software.
To learn more about IPA or request a trial: https://digitalinsights.qiagen.com/products-overview/discovery-insights-portfolio/analysis-and-visualization/qiagen-ipa/?cmpid=CM_QDI_DISC_052024webinars-network
Large dataset analysis and exploring the knowledge base using QIAGEN Ingenuity Pathway Analysis (IPA)
Join us for a 120-minute training session for new users of QIAGEN IPA.
In this training, you’ll learn how to:
• Upload your dataset (RNA-seq, scRNA-seq, proteomics, metabolomics and more) and perform interactive core/pathway analysis in IPA
• Understand the different result types produced (pathways, key regulators, impact on biological functions/diseases and more)
• Compare different experimental conditions (treatments, time points, single-cell clusters, disease types and more) and identify similarities and contrasts
• Generate a network even without a dataset or experimental design for hypothesis generation
For those with IPA licenses: download the installer from the link below to install IPA before or after the training.
https://qiagen.showpad.com/share/CBv30blCPKFDUYHRWtAvI
To learn more about IPA or request a trial: https://digitalinsights.qiagen.com/products-overview/discovery-insights-portfolio/analysis-and-visualization/qiagen-ipa/?cmpid=CM_QDI_DISC_042024webinars-NUT
Join us for a 120-minute training session for new users of QIAGEN IPA.
In this training, you’ll learn how to:
• Upload your dataset (RNA-seq, scRNA-seq, proteomics, metabolomics and more) and perform interactive core/pathway analysis in IPA
• Understand the different result types produced (pathways, key regulators, impact on biological functions/diseases and more)
• Compare different experimental conditions (treatments, time points, single-cell clusters, disease types and more) and identify similarities and contrasts
• Generate a network even without a dataset or experimental design for hypothesis generation
For those with IPA license,
To install IPA before or after this training, please use below installer.
https://qiagen.showpad.com/share/CBv30blCPKFDUYHRWtAvI
Ingenuity pathway analysis (IPA) which is currently cited in tens of thousands of publications and used by large number of biopharmaceuticals is backed by QIAGEN Biomedical Knowledgebase. Accordingly, Biomedical relationships knowledge has more or less become a requirement for innovative data- and analytics-driven drug discovery. It powers biomedical knowledge graph analysis, artificial intelligence (AI)-driven target identification and many more applications.
In this 1hr webinar, the speaker will introduce Biomedical Knowledgebase and how it allows its users to tackle applications that are not doable by Ingenuity Pathway Analysis graphical user interface or can be done faster and with more flexibility programmatically. The speaker will demonstrate queries such as
• Quickly find the shortest connections between genes/proteins/metabolites of interest in the context of specific disease through queries
• Systematically build a network given a short list genes/proteins/metabolites/chemicals
• Recreate a drug mechanism of action
Note: Per feedback of registrants, we may edit above topics as we would like to cover what would be most relevant to you.
Discovering new genes implicated in hereditary diseases or cancer progression is challenging yet advancing rapidly due to the increase in next-generation sequencing (NGS) cohort data. These data analyses produce insights into associations between gene variants and diseases and the biological mechanisms of these gene variants.
By combining QIAGEN CLC Genomics Workbench, QCIIT and QIAGEN IPA, you can analyze sequencing data obtained from a variety of NGS technologies, annotate gene variants using the world’s most comprehensive and up-to-date curated scientific evidence and find biological connections in gene variants with manually curated scientific findings. Using a streamlined NGS analysis workflow, you’ll get valuable and reliable insights for your research project and speed up your discoveries.
In this training, you’ll:
Discovering new genes implicated in hereditary diseases or cancer progression is challenging yet advancing rapidly due to the increase in next-generation sequencing (NGS) cohort data. These data analyses produce insights into associations between gene variants and diseases and the biological mechanisms of these gene variants.
By combining QIAGEN CLC Genomics Workbench, QCII-T and QIAGEN IPA, you can analyze sequencing data obtained from a variety of NGS technologies, annotate gene variants using the world’s most comprehensive and up-to-date curated scientific evidence and find biological connections in gene variants with manually curated scientific findings. Using a streamlined NGS analysis workflow, you’ll get valuable and reliable insights for your research project and speed up your discoveries.
In this training, you’ll:
