Evidence map›Paper›PMID 26903996›Full record

ArticleFrontiers in microbiology2016

PATtyFams: Protein Families for the Microbial Genomes in the PATRIC Database.

James J Davis, Svetlana Gerdes, Gary J Olsen, Robert Olson, Gordon D Pusch, Maulik Shukla, Veronika Vonstein, Alice R Wattam, Hyunseung Yoo

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 156 papers.

0numbers the graph read from it
0cells of the map it votes in
156citing papers in PubMed
4.2field-weighted citation impact, top 6% of its field
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

156 citing papers in PubMed, 255 citations in OpenAlex.

  1. Article
  2. Article
  3. Draft genome ofMicrobiology resource announcements · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Genome-based reclassification ofInternational journal of systematic and evolutionary microbiology · 2026
    Article
  8. Isolation and characterisation of a novel Stenotrophomonas maltophilia phage vB_SmaS_BCU-1 with evaluation of mammalian cell safety.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Article
  9. Bacteriophage-Based Control of Methicillin-ResistantAntibiotics (Basel, Switzerland) · 2026
    Article
  10. Discovery of Coerumycin, a Cinnamycin-like Lantibiotic fromAntibiotics (Basel, Switzerland) · 2026
    Article
  11. Article
  12. Genomic insights intoFrontiers in veterinary science · 2026
    Article
  13. Article
  14. Genomic Insights IntoBioinformatics and biology insights · 2026
    Article
  15. Two novel species of genusFrontiers in microbiology · 2026
    Article
  16. Article
  17. Comparative genomics andFrontiers in microbiology · 2026
    Article
  18. Article
  19. First report of whole genome sequence of a Mycobacterium bovis (3/86Rv) strain isolated from a cow in India.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025
    Article
  20. Genetic Basis of Multiple Antibiotic Resistance of PathogenicInternational journal of molecular sciences · 2025
    Article

96 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

9 authors at 4 institutions in 1 country.

James J DavisComputation Institute, University of ChicagoChicago, IL, USA; Computing, Environment and Life Sciences, Argonne National LaboratoryArgonne IL, USA.
Svetlana GerdesComputing, Environment and Life Sciences, Argonne National LaboratoryArgonne IL, USA; Fellowship for Interpretation of GenomesBurr Ridge, IL, USA.
Gary J OlsenDepartment of Microbiology and Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign Urbana, IL, USA.
Robert OlsonComputation Institute, University of ChicagoChicago, IL, USA; Mathematics and Computer Science Division, Argonne National LaboratoryArgonne, IL, USA.
Gordon D PuschComputing, Environment and Life Sciences, Argonne National LaboratoryArgonne IL, USA; Fellowship for Interpretation of GenomesBurr Ridge, IL, USA.
Maulik ShuklaComputation Institute, University of ChicagoChicago, IL, USA; Computing, Environment and Life Sciences, Argonne National LaboratoryArgonne IL, USA.
Veronika VonsteinComputing, Environment and Life Sciences, Argonne National LaboratoryArgonne IL, USA; Fellowship for Interpretation of GenomesBurr Ridge, IL, USA.
Alice R WattamVirginia Bioinformatics Institute, Virginia Tech University Blacksburg, VA, USA.
Hyunseung YooComputation Institute, University of ChicagoChicago, IL, USA; Computing, Environment and Life Sciences, Argonne National LaboratoryArgonne IL, USA.
Argonne National Laboratory · USUniversity of Chicago · USUniversity of Illinois Urbana-Champaign · USVirginia Tech · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability to build accurate protein families is a fundamental operation in bioinformatics that influences comparative analyses, genome annotation, and metabolic modeling. For several years we have been maintaining protein families for all microbial genomes in the PATRIC database (Pathosystems Resource Integration Center, patricbrc.org) in order to drive many of the comparative analysis tools that are available through the PATRIC website. However, due to the burgeoning number of genomes, traditional approaches for generating protein families are becoming prohibitive. In this report, we describe a new approach for generating protein families, which we call PATtyFams. This method uses the k-mer-based function assignments available through RAST (Rapid Annotation using Subsystem Technology) to rapidly guide family formation, and then differentiates the function-based groups into families using a Markov Cluster algorithm (MCL). This new approach for generating protein families is rapid, scalable and has properties that are consistent with alignment-based methods.

Indexed as

comparative genomicsFIGfamsgenome annotationmetabolic modelingRAST

Identifiers

PMID26903996
PMCPMC4744870
OpenAlexW2289762038

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.