ISB's Cancer Gateway to the Cloud is a resource of the NIH Cancer Data Research Commons.Ĭancer Data, Cancer Research, Cloud Computing, Google Cloud, Resource, Software PlatformĬorra is a single, user-friendly, informatic framework, that is simple to use and fully customizable, for the enabling of LC-MS-based quantitative proteomic workflows of any size, able to guide the user seamlessly from MS data generation, through data processing, visualization, and statistical anĬytoscape is an open source bioinformatics software platform for visualizing molecular interaction networks and integrating these interactions with gene expression profiles and other state data.ĭiatom Portal’s aim is not only to provide a repository for experimental and computational results, but to be used as an interface to existing resources. Python port of cMonkey, a machine-learning based method for clustering.Īccess, explore and analyze large-scale cancer data through the Google Cloud with ISB-CGC. In our cell phone simulation, students have the opportunity to use Cytoscape to model and interrogate the structure and properties of a cell phone network.Ĭell phone, network, education, cytoscape, simulationĬhlamy Portal is a web resource for exploration of Chlamydomonas reingardtii gene regulatory network.Ĭhlamydomonas, network, cmonkey, GRN, EGRINĬMonkey is a machine learning algorithm and data integration framework which aims to discover co-regulated modules, or bicluster in gene expression profiles.ĬMonkey, network inference, module, bicluster, gene expression Web Application, Software Integration Framework The cancer miRNA regulatory network can be used to identify clinically relevant miRNAs that are candidates for improved diagnostics, prognostics and therapeutics. The advent of custom designed oligonucleotide microarrays made possible by recent advancements in ink-jet microarray synthesis technology, provides the opportunity to quickly iterate through different microarray experiments.īioTapestry is an interactive tool for building, visualizing, and simulating genetic regulatory networks. Automated Statistical Analysis on Protein Ratio (ASAPRatio) accurately calculates the relative abundances of proteins and the corresponding confidence intervals from ICAT-type ESI-LC/MS data.Ĭ++, MS/MS, Proteomics, Quantification, TPPĪTAQS (Automated and Targeted Analysis with Quantitative SRM)Īs a complement to the well-established discovery proteomic methods, targeted mass spectrometry based on SRM is becoming an important tool for the generation of reproducible, sensitive and quantitatively accurate data from biological samples.īioFabric uses a novel network presentation method that represents nodes as horizontal line segments, one per row.īioSap (Blast Integrated Oligonucleotide Selection Accelerator Package)
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