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The Molecular Signatures Database Revisited: Extending Support for Mouse Data

The Molecular Signatures Database Revisited: Extending Support for Mouse Data

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_biorxiv_primary_2022_10_24_513539

The Molecular Signatures Database Revisited: Extending Support for Mouse Data

About this item

Full title

The Molecular Signatures Database Revisited: Extending Support for Mouse Data

Publisher

Cold Spring Harbor: Cold Spring Harbor Laboratory Press

Journal title

bioRxiv, 2022-10

Language

English

Formats

Publication information

Publisher

Cold Spring Harbor: Cold Spring Harbor Laboratory Press

More information

Scope and Contents

Contents

The Molecular Signatures Database (MSigDB) serves as the primary repository of biological signature gene sets for performing Gene Set Enrichment Analysis (GSEA). In the more than 15 years since its creation, MSigDB has served over 290,000 users in their use of GSEA to perform statistically rigorous analysis of coordinated patterns of gene expression changes by leveraging the prior knowledge of tens of thousands of deposited signatures. In that time, the sets provided in MSigDB have been offered exclusively in the human gene space and only minimally supporting analysis of mouse model data through mapping to human genes. Here we present two substantial improvements to MSigDB: first, by providing gene sets from widely used resources in the mouse gene space; and second, by offering substantially improved orthology mapping resources for comparative analysis of both mouse and human datasets. Competing Interest Statement The authors have declared no competing interest. Footnotes * https://msigdb.org/...

Alternative Titles

Full title

The Molecular Signatures Database Revisited: Extending Support for Mouse Data

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_biorxiv_primary_2022_10_24_513539

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_biorxiv_primary_2022_10_24_513539

Other Identifiers

ISSN

2692-8205

E-ISSN

2692-8205

DOI

10.1101/2022.10.24.513539

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