HirBin: high-resolution identification of differentially abundant functions in metagenomes.

ABSTRACT:

Background

Gene-centric analysis of metagenomics data provides information about the biochemical functions present in a microbiome under a certain condition. The ability to identify significant differences in functions between metagenomes is dependent on accurate classification and quantification of the sequence reads (binning). However, biological effects acting on specific functions may be overlooked if the classes are too general.

Methods

Here we introduce High-Resolution Binning (HirBin), a new method for gene-centric analysis of metagenomes. HirBin combines supervised annotation with unsupervised clustering to bin sequence reads at a higher resolution. The supervised annotation is performed by matching sequence fragments to genes using well-established protein domains,

SUBMITTER: Osterlund T 

PROVIDER: S-EPMC5399828 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature