Modeling time-series data from microbial communities.

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Bibliographic Details
Title: Modeling time-series data from microbial communities.
Authors: Ridenhour BJ; Department of Biological Sciences, University of Idaho, Moscow, ID, USA.; Bioinformatics and Computational Biology Program, University of Idaho, Moscow, ID, USA.; Center for Modeling Complex Interactions, University of Idaho, Moscow, ID, USA., Brooker SL; Bioinformatics and Computational Biology Program, University of Idaho, Moscow, ID, USA.; Center for Modeling Complex Interactions, University of Idaho, Moscow, ID, USA.; Department of Animal and Veterinary Sciences, University of Idaho, Moscow, ID, USA., Williams JE; Bioinformatics and Computational Biology Program, University of Idaho, Moscow, ID, USA.; Center for Modeling Complex Interactions, University of Idaho, Moscow, ID, USA.; Department of Animal and Veterinary Sciences, University of Idaho, Moscow, ID, USA., Van Leuven JT; Center for Modeling Complex Interactions, University of Idaho, Moscow, ID, USA., Miller AW; Department of Biology, University of Utah, Salt Lake City, UT, USA., Dearing MD; Department of Biology, University of Utah, Salt Lake City, UT, USA., Remien CH; Bioinformatics and Computational Biology Program, University of Idaho, Moscow, ID, USA.; Center for Modeling Complex Interactions, University of Idaho, Moscow, ID, USA.; Department of Mathematics, University of Idaho, Moscow, ID, USA.
Source: The ISME journal [ISME J] 2017 Nov; Vol. 11 (11), pp. 2526-2537. Date of Electronic Publication: 2017 Aug 08.
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 101301086 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1751-7370 (Electronic) Linking ISSN: 17517362 NLM ISO Abbreviation: ISME J Subsets: MEDLINE
Database: MEDLINE Ultimate
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