Evidence map›Paper›PMID 25260589›Full record

ArticleNucleic acids research2014

FOAM (Functional Ontology Assignments for Metagenomes): a Hidden Markov Model (HMM) database with environmental focus.

Emmanuel Prestat, Maude M David, Jenni Hultman, Neslihan Taş, Regina Lamendella, Jill Dvornik, Rachel Mackelprang, David D Myrold, Ari Jumpponen, Susannah G Tringe and 3 more

Abstract readValidation Study
In one paragraph

Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
–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

60 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Bioinformatic Workflows for Metaproteomics.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  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

13 authors.

Emmanuel PrestatEarth Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA Division of Biology, Kansas State University, Manhattan, Kansas 66506, USA.
Maude M DavidEarth Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
Jenni HultmanEarth Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
Neslihan TaşEarth Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
Regina LamendellaEarth Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
Jill DvornikEarth Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
Rachel MackelprangEarth Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA DOE Joint Genome Institute, Walnut Creek, CA 94598, USA.
David D MyroldDepartment of Crop and Soil Science, Oregon State University, Corvallis, OR 97331, USA.
Ari JumpponenDivision of Biology, Kansas State University, Manhattan, Kansas 66506, USA.
Susannah G TringeDOE Joint Genome Institute, Walnut Creek, CA 94598, USA.
Elizabeth HolmanEarth Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
Konstantinos MavromatisDOE Joint Genome Institute, Walnut Creek, CA 94598, USA.
Janet K JanssonEarth Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA DOE Joint Genome Institute, Walnut Creek, CA 94598, USA DOE Joint Bioenergy Institute, Emeryville, CA 94608, USA Department of Plant and Microbial Biology, University of California, Berkeley 94720, USA Center for Permafrost (CENPERM), University of Copenhagen, Copenhagen 1017, Denmark janet.jansson@pnnl.gov.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A new functional gene database, FOAM (Functional Ontology Assignments for Metagenomes), was developed to screen environmental metagenomic sequence datasets. FOAM provides a new functional ontology dedicated to classify gene functions relevant to environmental microorganisms based on Hidden Markov Models (HMMs). Sets of aligned protein sequences (i.e. 'profiles') were tailored to a large group of target KEGG Orthologs (KOs) from which HMMs were trained. The alignments were checked and curated to make them specific to the targeted KO. Within this process, sequence profiles were enriched with the most abundant sequences available to maximize the yield of accurate classifier models. An associated functional ontology was built to describe the functional groups and hierarchy. FOAM allows the user to select the target search space before HMM-based comparison steps and to easily organize the results into different functional categories and subcategories. FOAM is publicly available at http://portal.nersc.gov/project/m1317/FOAM/.

Indexed as

Biological OntologiesDatabases, Nucleic AcidMetagenomicsSoil MicrobiologyMarkov ChainsMetagenomeSequence AlignmentSequence Analysis, Protein

Identifiers

PMID25260589
PMCPMC4231724

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.