Evidence map›Paper›PMID 34717010›Full record

ReviewProtein science : a publication of the Protein Society2022

PANTHER: Making genome-scale phylogenetics accessible to all.

Paul D Thomas, Dustin Ebert, Anushya Muruganujan, Tremayne Mushayahama, Laurent-Philippe Albou, Huaiyu Mi

Abstract readReview
In one paragraph

Review in Protein science : a publication of the Protein Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1,277 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1,277citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1,277 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. A Systematic Review of Genes Affecting Endocochlear Potential.Journal of the Association for Research in Otolaryngology : JARO · 2026
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  12. Identification of genes promoting fitness of a plant-associatedApplied and environmental microbiology · 2026
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1,217 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Paul D ThomasDivision of Bioinformatics, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA.ORCID 0000-0002-9074-3507
Dustin EbertDivision of Bioinformatics, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA.ORCID 0000-0002-6659-0416
Anushya MuruganujanDivision of Bioinformatics, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA.ORCID 0000-0001-7169-5864
Tremayne MushayahamaDivision of Bioinformatics, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA.ORCID 0000-0002-2874-6934
Laurent-Philippe AlbouDivision of Bioinformatics, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA.ORCID 0000-0001-5801-1974
Huaiyu MiDivision of Bioinformatics, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA.ORCID 0000-0001-8721-202X

Funding

Resource ProjectU41HG002273 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMAS, PAUL D. · 2012 to 2021
$34.7M
Gene Ontology Consortium and KnowledgebaseU24HG012212 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CHRISTOPHER J MUNGALL, PAUL Warren STERNBERG · 2022 to 2026
$11.6M
NHGRI NIH HHS U24 HG012212NHGRI NIH HHS U41 HG002273
6 · The paper itself

Abstract

Phylogenetics is a powerful tool for analyzing protein sequences, by inferring their evolutionary relationships to other proteins. However, phylogenetics analyses can be challenging: they are computationally expensive and must be performed carefully in order to avoid systematic errors and artifacts. Protein Analysis THrough Evolutionary Relationships (PANTHER; http://pantherdb.org) is a publicly available, user-focused knowledgebase that stores the results of an extensive phylogenetic reconstruction pipeline that includes computational and manual processes and quality control steps. First, fully reconciled phylogenetic trees (including ancestral protein sequences) are reconstructed for a set of "reference" protein sequences obtained from fully sequenced genomes of organisms across the tree of life. Second, the resulting phylogenetic trees are manually reviewed and annotated with function evolution events: inferred gains and losses of protein function along branches of the phylogenetic tree. Here, we describe in detail the current contents of PANTHER, how those contents are generated, and how they can be used in a variety of applications. The PANTHER knowledgebase can be downloaded or accessed via an extensive API. In addition, PANTHER provides software tools to facilitate the application of the knowledgebase to common protein sequence analysis tasks: exploring an annotated genome by gene function; performing "enrichment analysis" of lists of genes; annotating a single sequence or large batch of sequences by homology; and assessing the likelihood that a genetic variant at a particular site in a protein will have deleterious effects.

Indexed as

Databases, ProteinEvolution, MolecularPhylogenyProteinsSequence Analysis, ProteinSoftwareMolecular Sequence AnnotationProteinsgene ontologygenome analysishidden Markov modelmolecular evolutionomics data analysisphylogenetic treeprotein function annotationprotein function evolution

Identifiers

PMID34717010
PMCPMC8740835

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.