Release date: 2016-12-01
Now you can examine detailed expression patterns across human tissues directly from IPA’s Isoform Views. IPA now offers access to a lite version of OmicSoft Land Explorer. With this new feature, you can provide interactive plots of gene expression in 51 different human tissues from the GTEx project, for both gene level and individual splice variants. You can filter the view for a particular tissue, or filter on metadata, such as tissue donor age or gender. You can also download the detailed sample-level expression data for the gene.
IPA users can access the lite version of Land Explorer at no extra cost and does not require registration or manual sign-in. For broader access to hundreds of thousands of samples from healthy and disease tissue, please take a tour of the full OmicSoft Land Explorer (launching soon!).
Figures 1-3 demonstrate how you can access a lite version of Land Explorer via IPA for no extra cost. The figures show how the FABP4-201 isoform of FABP4 (the longest protein-coding isoform of the Fatty Acid Binding Protein 4 gene) is expressed at higher levels in adipose and breast tissues than in other tissues.
The plot can be switched to show gene-level expression as well, as shown below in Figure 3.
Create and open IPA Comparison Analyses much more quickly and add statistical stringency to your Comparison Analyses with the Benjamini–Hochberg correction. B-H corrected p-values are now available for display and filtering in Canonical Pathways and Diseases and Function tabs, as shown below in Figure 5.
• FAT10 Cancer Signaling Pathway
• T Cell Exhaustion Signaling Pathway
~38,500 new Expert findings
~400 new ExpertAssist findings
~50,800 new cancer mutation disease association findings from COSMIC
~1300 new ontology findings from GO
~2100 new disease-to-target findings from ClinicalTrials.gov
~1500 new drug-to-disease findings from ClinicalTrials.gov
~9000 new protein-protein interactions from the BioGRID database
~700 new protein-protein interactions from the IntAct database
~160 new mouse knockout-to-phenotype findings from MGD (JAX Labs)
~150 newly mappable chemicals
The Analysis Match repositories will be updated in IPA on Jan 4th, 2019. There will be over 3,500 new Analysis Match datasets in this release, as outlined in Table 1.
Analysis Match enhances interpretation and drives discovery by placing your dataset in the context of thousands of IPA analyses that have been processed from data from public sources using Array Suite.
Powered by IPA Advanced Analytics, Analysis Match automatically identifies the analyses of curated datasets that have significant similarities and differences, enabling you to compare results, validate interpretation and better understand causal connections between diseases, genes, and networks of upstream regulators.
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