Go beyond pathway analysis and deeper into your RNA-Seq data with the IPA Winter Release 2014. In this release, human isoforms from Ensembl are now available alongside human isoforms from RefSeq on the IPA Isoform View.
With IPA’s enhanced support for human RNA-Seq data, scientists are now able to quickly identify differentially expressed isoforms between condition and control samples, and interpret the impact of expression changes in the context of biological processes, disease and cellular phenotypes, and molecular interactions.
Enhanced RNA-Seq support includes human Ensembl-based isoforms
Take advantage of both sources on Gene Views, by toggling between RefSeq and Ensembl to visualize associated isoforms on the Isoform View. In addition, understand which isoforms from your dataset are most significantly differentially expressed for additional follow-up.
Find the significant isoforms in your RNA-seq data with new human isoform visualizations
Quickly identify which genes in your human RNA-seq dataset have expression data for one or more isoforms. On networks and pathways, nodes with multiple isoforms in your dataset are surrounded with a yellow glow. This helps you quickly identify significant differentially expressed genes that may have splicing patterns of interest. Double click a node of interest to see which isoforms are differentially expressed in your dataset
Quickly identify significant connections with new layout options for networks
You can change the default layout of networks and My Pathways using the new Layout Options which emphasize different aspects of the network depending on which layout you select: Organic, Circular, Radial, Hierarchical or Subcellular giving you more versatility than ever before for how you look at your data.
A particular network visualized with each of the five layout options. Each layout emphasizes different aspects of the network. Note that the hierarchical and radial layout options behave differently if a subset of the nodes is selected before choosing that option.