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PANTHER version 14: more genomes, a new PANTHER GO-slim and improvements in enrichment analysis tools

Open access
Mi, Huaiyu, Muruganujan, Anushya, Ebert, Dustin, Huang, Xiaosong, Thomas, Paul D·2019·Nucleic Acids Research

Abstract

PANTHER (Protein Analysis Through Evolutionary Relationships, http://pantherdb.org) is a resource for the evolutionary and functional classification of genes from organisms across the tree of life. We report the improvements we have made to the resource during the past two years. For evolutionary classifications, we have added more prokaryotic and plant genomes to the phylogenetic gene trees, expanding the representation of gene evolution in these lineages. We have refined many protein family boundaries, and have aligned PANTHER with the MEROPS resource for protease and protease inhibitor families. For functional classifications, we have developed an entirely new PANTHER GO-slim, containing over four times as many Gene Ontology terms as our previous GO-slim, as well as curated associations of genes to these terms. Lastly, we have made substantial improvements to the enrichment analysis tools available on the PANTHER website: users can now analyze over 900 different genomes, using updated statistical tests with false discovery rate corrections for multiple testing. The overrepresentation test is also available as a web service, for easy addition to third-party sites.

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Metadata

Authors
Mi, H., Muruganujan, A., Ebert, D., Huang, X., & Thomas, P. D.
Venue
Nucleic Acids Research
Published
2018-11-08
Volume
47
Issue
D1
Pages
D419-D426
ISSN
  • 0305-1048 (ISSN-L)
  • 1362-4962
OpenAlex
W2900044275
Cited by
3,033
References
4
FWCI
107.98
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: PANTHER version 14: more genomes, a new PANTHER GO-slim and improvements in enrichment analysis tools. https://app.cochat.ai/papers/10.1093/nar/gky1038
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Mi, H., Muruganujan, A., Ebert, D., Huang, X., & Thomas, P. D. (2019). PANTHER version 14: more genomes, a new PANTHER GO-slim and improvements in enrichment analysis tools. Nucleic Acids Research. https://doi.org/10.1093/nar/gky1038

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