BusyBee Web: metagenomic data analysis by bootstrapped supervised binning and annotation.

ABSTRACT: Metagenomics-based studies of mixed microbial communities are impacting biotechnology, life sciences and medicine. Computational binning of metagenomic data is a powerful approach for the culture-independent recovery of population-resolved genomic sequences, i.e. from individual or closely related, constituent microorganisms. Existing binning solutions often require a priori characterized reference genomes and/or dedicated compute resources. Extending currently available reference-independent binning tools, we developed the BusyBee Web server for the automated deconvolution of metagenomic data into population-level genomic bins using assembled contigs (Illumina) or long reads (Pacific Biosciences, Oxford Nanopore Technologies). A reversible compression step as well as bootstrapped supervis

SUBMITTER: Laczny CC 

PROVIDER: S-EPMC5570254 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature