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BEBaC | Bayesian estimation of bacterial community composition from 454 sequencing data

A method for detecting bacterial communities from 454 sequencing data. Compared with traditional methods, BEBaC determines the number of bacterial species automatically, while requiring no external reference databases. It is capable of separating closely related species into independent operational taxonomic units (OTUs). BEBaC could also be used for other problems that require clustering of large amounts of DNA sequences.

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BEBaC classification

BEBaC specifications

Unique identifier:
Software type:
Restrictions to use:
Input format:
Operating system:
Computer skills:
Bayesian Estimation of Bacterial Communities
Command line interface
Input data:
DNA reads of similar length, such as 450bp~550bp.
Biological technology:
Programming languages:

BEBaC distribution


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BEBaC support



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Department of Mathematics and Statistics, University of Helsinki, Helsinki, Finland; Pathogen Genomics Group, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, UK

Funding source(s)

Finnish Population Genetics Graduate School; Sigrid Juselius Foundation; European Research Council (39784)

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