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Database Commons

a catalog of worldwide biological databases

Database Profile

MutationAligner

General information

URL: http://www.mutationaligner.org
Full name: A Resource of Recurrent Mutation Hotspots in Protein Domains in Cancer
Description: The MutationAligner website enables you to explore mutation hotspots identified in protein domains from more than 5000 patients across 22 cancer types. Using multiple sequence analysis, protein domain hotspots are identified by tallying missense mutations across analogous residues of domain-containing genes.
Year founded: 2016
Last update: 2015-11-20
Version:
Accessibility:
Accessible
Country/Region: United States

Classification & Tag

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Contact information

University/Institution: Memorial Sloan Kettering Cancer Center
Address: New York, NY 10065, USA
City: New York
Province/State: NY
Country/Region: United States
Contact name (PI/Team): Martin L. Miller
Contact email (PI/Helpdesk): mutalign@gmail.com

Publications

26590264
MutationAligner: a resource of recurrent mutation hotspots in protein domains in cancer. [PMID: 26590264]
Gauthier NP, Reznik E, Gao J, Sumer SO, Schultz N, Sander C, Miller ML.

The MutationAligner web resource, available at http://www.mutationaligner.org, enables discovery and exploration of somatic mutation hotspots identified in protein domains in currently (mid-2015) more than 5000 cancer patient samples across 22 different tumor types. Using multiple sequence alignments of protein domains in the human genome, we extend the principle of recurrence analysis by aggregating mutations in homologous positions across sets of paralogous genes. Protein domain analysis enhances the statistical power to detect cancer-relevant mutations and links mutations to the specific biological functions encoded in domains. We illustrate how the MutationAligner database and interactive web tool can be used to explore, visualize and analyze mutation hotspots in protein domains across genes and tumor types. We believe that MutationAligner will be an important resource for the cancer research community by providing detailed clues for the functional importance of particular mutations, as well as for the design of functional genomics experiments and for decision support in precision medicine. MutationAligner is slated to be periodically updated to incorporate additional analyses and new data from cancer genomics projects. © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research.

Nucleic Acids Res. 2016:44(D1) | 18 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
4241/6895 (38.506%)
Health and medicine:
1077/1738 (38.09%)
4241
Total Rank
17
Citations
1.889
z-index

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Record metadata

Created on: 2016-01-02
Curated by:
Lin Liu [2016-03-27]
Lin Liu [2016-02-08]
Lin Liu [2016-01-27]
Lin Liu [2016-01-02]