Evidence map›Paper›PMID 17712414›Full record

ArticlePloS one2007

The Princeton Protein Orthology Database (P-POD): a comparative genomics analysis tool for biologists.

Sven Heinicke, Michael S Livstone, Charles Lu, Rose Oughtred, Fan Kang, Samuel V Angiuoli, Owen White, David Botstein, Kara Dolinski

Abstract read
In one paragraph

Article in PloS one, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 1 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

59 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Mechanisms of transcriptional regulation inbioRxiv : the preprint server for biology · 2023
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  7. Review
  8. Article
  9. Review
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  14. Article
  15. Article
  16. Microbial genome analysis: the COG approach.Briefings in bioinformatics · 2019
    Review
  17. Article
  18. Article
  19. Article
  20. Article
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

9 authors.

Sven HeinickeLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, United States of America.
Michael S Livstone
Charles Lu
Rose Oughtred
Fan Kang
Samuel V Angiuoli
Owen White
David Botstein
Kara Dolinski

Funding

Spatial Patterning During DevelopmentP50GM071508 · NIGMS · PRINCETON UNIVERSITY · PI POWELL, SUSAN M · 2004 to 2013
$30.6M
Integrating and Disseminating Functional Genomics DataR01HG003471 · NHGRI · PRINCETON UNIVERSITY · PI BOTSTEIN, DAVID · 2005 to 2007
$1.7M
NHGRI NIH HHS 5R01HG003471NHGRI NIH HHS R01 HG003471NIAID NIH HHS N01 AI040038NIGMS NIH HHS P50 GM071508
6 · The paper itself

Abstract

Many biological databases that provide comparative genomics information and tools are now available on the internet. While certainly quite useful, to our knowledge none of the existing databases combine results from multiple comparative genomics methods with manually curated information from the literature. Here we describe the Princeton Protein Orthology Database (P-POD, http://ortholog.princeton.edu), a user-friendly database system that allows users to find and visualize the phylogenetic relationships among predicted orthologs (based on the OrthoMCL method) to a query gene from any of eight eukaryotic organisms, and to see the orthologs in a wider evolutionary context (based on the Jaccard clustering method). In addition to the phylogenetic information, the database contains experimental results manually collected from the literature that can be compared to the computational analyses, as well as links to relevant human disease and gene information via the OMIM, model organism, and sequence databases. Our aim is for the P-POD resource to be extremely useful to typical experimental biologists wanting to learn more about the evolutionary context of their favorite genes. P-POD is based on the commonly used Generic Model Organism Database (GMOD) schema and can be downloaded in its entirety for installation on one's own system. Thus, bioinformaticians and software developers may also find P-POD useful because they can use the P-POD database infrastructure when developing their own comparative genomics resources and database tools.

Indexed as

Databases, ProteinAlgorithmsAnimalsComputational BiologyEvolution, MolecularGenomicsHumansInternetMolecular Sequence DataPhylogenyTubulinUser-Computer InterfaceTubulin

Identifiers

PMID17712414
PMCPMC1942082

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.