Journal
PEERJ
Volume 2, Issue -, Pages -Publisher
PEERJ INC
DOI: 10.7717/peerj.603
Keywords
Metagenomics; Population genome binning; Bioinformatics; Microbial ecology
Categories
Funding
- Commonwealth Scientific & Industrial Research Organisation (CSIRO) Flagship Cluster Biotechnological solutions to Australia's transport, energy and greenhouse gas challenges
- Discovery Outstanding Researcher Award (DORA) from the Australian Research Council [DP120103498]
- ARC Queen Elizabeth II fellowship [DP1093175]
Ask authors/readers for more resources
Metagenomic binning methods that leverage differential population abundances in microbial communities (differential coverage) are emerging as a complementary approach to conventional composition-based binning. Here we introduce GroopM, an automated binning tool that primarily uses differential coverage to obtain high fidelity population genomes from related metagenomes. We demonstrate the effectiveness of GroopM using synthetic and real-world metagenomes, and show that GroopM produces results comparable with more time consuming, labor-intensive methods.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available