Binning long reads in metagenomics datasets using composition and coverage information.

ABSTRACT:

Background

Advancements in metagenomics sequencing allow the study of microbial communities directly from their environments. Metagenomics binning is a key step in the species characterisation of microbial communities. Next-generation sequencing reads are usually assembled into contigs for metagenomics binning mainly due to the limited information within short reads. Third-generation sequencing provides much longer reads that have lengths similar to the contigs assembled from short reads. However, existing contig-binning tools cannot be directly applied on long reads due to the absence of coverage information and the presence of high error rates. The few existing long-read binning tools either use only composition or use composition and coverage information separately. This may ign

SUBMITTER: Wickramarachchi A 

PROVIDER: S-EPMC9277797 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature