|
Oncomine 1.0 consisted of 40 microarray data sets and nearly
100 pre-computed differential expression analyses. This version also included analysis tools designed to allow users to query differential expression of a gene across all the collected data sets.
Oncomine 2.0 increased the number of analyzed data sets to 65 and added a co-expression module. In addition, an improved user interface was developed, and scalable vector graphics (SVG) was adopted for visualizing gene expression data and analyses. Enrichment analysis was added to a later version of Oncomine 2.0.
Oncomine 3.0 included significant additions in data and functionality. A semi-automated data pipeline was developed that allowed for a substantial increase in the number of collected data sets to 118, and the number of profiled cancer and normal tissue samples to nearly 10,000. In addition, more than 1000 gene expression signatures were derived by grouping the samples based on curated sample facts ranging from cancer diagnosis, transforming mechanism, and patient survival. Additional analysis methods, including Molecular Concepts analysis, Meta-analysis, and Cancer Outlier Profile Analysis (COPA) were also developed.
Oncomine and related technologies licensed to newly-formed company, Compendia Bioscience.
Number of collected datasets increased to 144 with more than 12,000 tissue profiles.
Oncomine 3.1 is released including several feature updates and another large increase in the number of datasets (209) and tissues profiled (14,000+) including first cell-line datasets.
Beta release of Oncomine Enterprise Edition providing a secure web service for customers to integrate proprietary data and public domain data for analysis and insight.
Number of collected datasets increased to 264 with more than 18,000 tissue profiles.
Release of Oncomine Enterprise Edition 1.0 for deployment at multiple commercial customers allowing for integration of private expression data with the public data already available in Oncomine.
Oncomine 3.2.1 providing integration with Ingenuity’s IPA application for Oncomine Professional customers. Will be included in future editions of Oncomine Research Premium Edition.
Oncomine 3.2.2 and OCM 0.9 – Academic Preview of Oncomine Concepts Map. A signature-centric application that leverages more than 1,000 cancer signatures generated from Oncomine and a database of more than 20,000 molecular concepts gathered from diverse sources worldwide. Oncomine 3.2.2 is the first release fully supported by Compendia Bioscience for the academic community.
Oncomine v3.3 released with MyFilters, a powerful new customization tool, allowing users to upload gene lists that can be utilized as custom filters throughout Oncomine.
Oncomine Concepts Map Edition v1.0 released with gene sets as a common language to compare and link disparate biological concepts. Gene signatures grow to nearly 7,000.
23 highly curated data sets — representing over a thousand microarray experiments — are added to the Oncomine database with nearly half of the new studies containing sample data not available by direct download from public repositories.
Oncomine v3.5 improves user experience by adding a context sensitive help system, quickstart guides, updated online demos, and automated password retrieval.
OCM v1.1 introduces the Oncomine Cluster, a set of genes that are strongly correlated with each other (>0.5) within a single study in the Oncomine database.
Oncomine™ Research Premium Edition includes custom gene filters, integration with Ingenuity Pathway Analysis software and full support for Oncomine Concepts Map, including the ability to upload custom and proprietary concepts in a secure environment.
Oncomine v3.6 incorporates aCGH data in addition to a complete remapping of reporters to genes improving accuracy. Highly curated data from 35 additional studies are made available; more than 34% of these new studies contain data not available from GEO.
|