Scalable and exhaustive screening of metabolic functions carried out by microbial consortia | Zendy

Clémence Frioux | Zendy; Enora Fremy | Zendy; Camille Trottier | Zendy; Anne Siegel | Zendy

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Scalable and exhaustive screening of metabolic functions carried out by microbial consortia

Author(s) -

Clémence Frioux,

Enora Fremy,

Camille Trottier,

Anne Siegel

Publication year - 2018

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bty588

Subject(s) - computer science , scalability , microbiome , benchmarking , redundancy (engineering) , selection (genetic algorithm) , source code , function (biology) , computational biology , machine learning , biology , bioinformatics , programming language , database , marketing , evolutionary biology , business , operating system

The selection of species exhibiting metabolic behaviors of interest is a challenging step when switching from the investigation of a large microbiota to the study of functions effectiveness. Approaches based on a compartmentalized framework are not scalable. The output of scalable approaches based on a non-compartmentalized modeling may be so large that it has neither been explored nor handled so far.

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