New! Ingenuity Pathway Analysis (IPA) with Analysis Match now available
Monday, December 3, 2018 - 16:00
Dear Tulane University Faculty & Researchers,
We are very pleased to announce that Tulane will be providing 1 year of unlimited access to Ingenuity Pathway Analysis (IPA). IPA is an all-in-one, web-based software application that enables analysis, integration, and understanding of data from gene expression, miRNA, and SNP microarrays, as well as metabolomics, proteomics, and RNAseq experiments. The software is backed by the Ingenuity Knowledge Base of highly structured, detail-rich biological and chemical findings.
To be added to the Tulane license, please email Neville Prendergast with your name and Tulane email address. He will serve as license coordinator and will add you to the license. An auto-email will be sent to you with instructions on how to create your IPA password.
Please note: sharing login credentials and passwords is strictly forbidden by our license. Please do not share your access with anyone.
Individuals who publish research that has been aided by this resource must explicitly acknowledge this support in the publication as is described here - “This research was supported in part by the Genomics, Biostatistics, and Bioinformatics Core, funded by Grant P20GM103629 from the National Institutes of Health (NIH).” All citations from publications based on data from IPA must be shared with the Bioinformatics Core.
We will be sponsoring a full day onsite IPA training soon and will send you details on the timing of this shortly. Here are some other important details to ensure your access is setup correctly:
• To access IPA web version, please click on https://analysis.ingenuity.com/pa/.
Some online training resources that are available for you now (ahead of onsite training):
Get to Know IPA: A series of live hands on training classes geared for new users. This link also provides recorded trainings covering:
IPA Training Videos: 2-5 min training videos on specific advanced features in IPA
• Regulator Effects Analysis: Provides insights into your data by integrating Upstream Regulator results with Downstream Effects results to create causal hypotheses that explain what may be occurring upstream to cause particular phenotypic or functional outcomes downstream
• Pathway Activity Analysis: determine if Canonical Pathways are increased or decreased based on your data. (refer to the video on Molecular Activity Predictor)