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

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Title FOAM (Functional Ontology Assignments for Metagenomes): a Hidden Markov Model (HMM) database with environmental focus
Names Prestat, Emmanuel (creator)
David, Maude M. (creator)
Hultman, Jenni (creator)
Myrold, David D. (creator)
et al. (creator)
Date Issued 2014-10-29 (iso8601)
Note To the best of our knowledge, one or more authors of this paper were federal employees when contributing to this work. This is the publisher’s final pdf. The published article is copyrighted by the author(s) and published by Oxford University Press. The published article can be found at: http://nar.oxfordjournals.org/.
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/.
Genre Article
Access Condition http://creativecommons.org/licenses/by/3.0/us/
Identifier Prestat, E., David, M. M., Hultman, J., Taş, N., Lamendella, R., Dvornik, J., ... & Jansson, J. K. (2014). FOAM (Functional Ontology Assignments for Metagenomes): a Hidden Markov Model (HMM) database with environmental focus. Nucleic Acids Research, 42(19), e145. doi:10.1093/nar/gku702

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