Difference between revisions of "MSigDB v5.1 Release Notes"
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<p> To cite your use of the C7 collection or for additional information about it, please refer to this publication:<br> | <p> To cite your use of the C7 collection or for additional information about it, please refer to this publication:<br> | ||
[http://www.cell.com/immunity/pdfExtended/S1074-7613(15)00532-4 "Compendium of Immune Signatures Identifies Conserved and Species-Specific Biology in Response to Inflammation"]<br> | [http://www.cell.com/immunity/pdfExtended/S1074-7613(15)00532-4 "Compendium of Immune Signatures Identifies Conserved and Species-Specific Biology in Response to Inflammation"]<br> | ||
− | Immunity, published online January 12, 2016. The publication also refers to the C7 collection of immunologic signatures as <strong>ImmuneSigDB</strong>.</p> | + | Immunity, published online January 12, 2016. The publication also refers to the MSigDB C7 collection of immunologic signatures as <strong>ImmuneSigDB</strong>.</p> |
− | <p>This resource was generated as part of our collaboration with the [http://haining.dfci.harvard.edu Haining Lab] at Dana-Farber Cancer Institute and the | + | <p>This resource was generated as part of our collaboration with the [http://haining.dfci.harvard.edu Haining Lab] at Dana-Farber Cancer Institute and the [http://www.immuneprofiling.org Human Immunology Project Consortium (HIPC)].</p> |
Revision as of 16:43, 13 January 2016
Updates to C7: Immunologic Signatures
We added to the C7 collection 2,962 new gene sets derived directly from microarray data of immunological studies. These gene sets represent cell types, states, and perturbations within the immune system. The signatures were generated by manual curation of published studies in human and mouse immunology.
We first captured relevant microarray datasets published in the immunology literature that have raw data deposited to Gene Expression Omnibus (GEO). Next, for each published study, the relevant comparisons were identified (e.g. WT vs. KO; pre- vs. post-treatment etc.) and brief, biologically meaningful descriptions were created. Then we processed and normalized every data set the same way to identify gene sets, which correspond to the top or bottom genes (FDR < 0.25 or maximum of 200 genes) ranked by mutual information for each assigned comparison.
To cite your use of the C7 collection or for additional information about it, please refer to this publication:
"Compendium of Immune Signatures Identifies Conserved and Species-Specific Biology in Response to Inflammation"
Immunity, published online January 12, 2016. The publication also refers to the MSigDB C7 collection of immunologic signatures as ImmuneSigDB.
This resource was generated as part of our collaboration with the Haining Lab at Dana-Farber Cancer Institute and the Human Immunology Project Consortium (HIPC).