IPA® 9.0 enables you to get maximum value from your microarray and RNA-Sequencing data. Through a unique combination of powerful analytics and rich content, IPA supports the biological interpretation of your data, which enables you to focus on the most relevant information in order to make informed conclusions and design appropriate follow-up experiments.
As you invest in technologies that generate large amounts of biological data, shouldn’t you invest in your ability to make sense of it? What are your microarray or next-generation sequencing experiments telling you? How do you know what questions you should be asking of your data? How can you be sure you aren’t missing valuable connections and insights?
Whether you enter into your experiment with a preconceived hypothesis or without, IPA can help you make biological sense of your data and put it in a biological context in order to focus on results that will be most useful. We’ve designed the latest release of IPA to support the efficient exploration, visualization, and acceleration of biological insights in order to fuel the cycle of ideas and experiments that gets refined into well-chosen hypotheses, robust analyses, and confident results.
IPA 9.0 supports multiple research platforms and approaches, now including RNA-Seq and microRNA data. Additionally, usability improvements have been made to the IPA interface to help you quickly access the most useful information and workflows.
What's New
Newly added microRNA content and microRNA Target Filter provide insight into the biological effects of microRNAs using both experimentally demonstrated and predicted microRNA-mRNA relationships.
Identify mRNA targets for microRNAs using newly added predicted microRNA–mRNA binding relationships from TargetScan, in addition to information on experimentally validated relationships from TarBase (miRBase identifiers are the same).
Reduce number of steps to confidently identify targets by examining microRNA-mRNA pairings, exploring the related biological context of these relationships, and filtering mRNA targets based on relevant biological characteristics, all within a single tool.
Easily prioritize mRNA target interactions based on:
confidence levels of interaction predictions
source
role or presence in species, diseases, tissues, pathways, cell lines, molecular types, and more
Elucidate the mechanism of action of microRNAs.
Leverage microRNA and mRNA data in combination with other types of datasets for an integrated biological analysis.
Directly upload processed RNA-Seq datasets into IPA to analyze and understand RNA-Seq data in the context of known biology to get a comprehensive view of your experimental system.
Quickly move beyond statistical analysis of high-throughput RNA-Seq data to understand the biological implications of your data, so you can accurately identify novel disease mechanisms, prioritize drug targets, generate hypotheses, and more.
Seamlessly move from data processing tools to biological interpretation in IPA by directly uploading RefSeq, Ensembl, and UCSC IDs.
Improved IPA interface & Customer Support Portal help you use IPA more easily and effectively.
