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IPA Webinar: Part 1: Introduction to Ingenuity Pathway Analysis
Learn how to quickly and easily identify significant pathways, discover potential novel regulatory networks, and get the most out of your 'omics data!
IPA has broadly been adopted by the life science research
community and is cited in thousands of articles for the analysis, integration,
and interpretation of data derived from ‘omics experiments, such as RNA-seq,
small RNA-seq, microarrays including miRNA and SNP, metabolomics, proteomics,
and small scale experiments. Hosted by two QIAGEN Senior Scientists, this
series will show you step-by-step how to implement and use IPA to get the most
out of your data.
Part 1: Introduction to the IPA Core Analysis
Learn how to view and interpret Core Analysis results in IPA,
which allows you to relate the molecules in your dataset to information in the
QIAGEN Knowledge Base. You will learn how to:
signaling and metabolic canonical pathways enriched in your data
activation or inhibition of upstream regulators
biological functions and diseases that are predicted to be increasing or
decreasing
causal hypotheses
networks describing potential molecular interactions of your dataset
molecules
your analyses to thousands of analyses created from public datasets
Interested in learning more or trying IPA? Click here.
View all episodes
By tv.qiagenbioinformatics.comLearn how to quickly and easily identify significant pathways, discover potential novel regulatory networks, and get the most out of your 'omics data!
IPA has broadly been adopted by the life science research
community and is cited in thousands of articles for the analysis, integration,
and interpretation of data derived from ‘omics experiments, such as RNA-seq,
small RNA-seq, microarrays including miRNA and SNP, metabolomics, proteomics,
and small scale experiments. Hosted by two QIAGEN Senior Scientists, this
series will show you step-by-step how to implement and use IPA to get the most
out of your data.
Part 1: Introduction to the IPA Core Analysis
Learn how to view and interpret Core Analysis results in IPA,
which allows you to relate the molecules in your dataset to information in the
QIAGEN Knowledge Base. You will learn how to:
signaling and metabolic canonical pathways enriched in your data
activation or inhibition of upstream regulators
biological functions and diseases that are predicted to be increasing or
decreasing
causal hypotheses
networks describing potential molecular interactions of your dataset
molecules
your analyses to thousands of analyses created from public datasets
Interested in learning more or trying IPA? Click here.