MetaProb: accurate metagenomic reads binning based on probabilistic sequence signatures | Zendy

Samuele Girotto | Zendy; Cinzia Pizzi | Zendy; Matteo Comin | Zendy

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MetaProb: accurate metagenomic reads binning based on probabilistic sequence signatures

Author(s) -

Samuele Girotto,

Cinzia Pizzi,

Matteo Comin

Publication year - 2016

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/btw466

Subject(s) - metagenomics , computer science , probabilistic logic , data mining , statistic , sequence (biology) , k mer , dna sequencing , computational biology , genome , biology , artificial intelligence , statistics , genetics , mathematics , gene

Sequencing technologies allow the sequencing of microbial communities directly from the environment without prior culturing. Taxonomic analysis of microbial communities, a process referred to as binning, is one of the most challenging tasks when analyzing metagenomic reads data. The major problems are the lack of taxonomically related genomes in existing reference databases, the uneven abundance ratio of species and the limitations due to short read lengths and sequencing errors.

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