Title
A robust and accurate binning algorithm for metagenomic sequences with arbitrary species abundance ratio
Abstract
Motivation: With the rapid development of next-generation sequencing techniques, metagenomics, also known as environmental genomics, has emerged as an exciting research area that enables us to analyze the microbial environment in which we live. An important step for metagenomic data analysis is the identification and taxonomic characterization of DNA fragments (reads or contigs) resulting from sequencing a sample of mixed species. This step is referred to as ‘binning’. Binning algorithms that are based on sequence similarity and sequence composition markers rely heavily on the reference genomes of known microorganisms or phylogenetic markers. Due to the limited availability of reference genomes and the bias and low availability of markers, these algorithms may not be applicable in all cases. Unsupervised binning algorithms which can handle fragments from unknown species provide an alternative approach. However, existing unsupervised binning algorithms only work on datasets either with balanced species abundance ratios or rather different abundance ratios, but not both. Results: In this article, we present MetaCluster 3.0, an integrated binning method based on the unsupervised top–down separation and bottom–up merging strategy, which can bin metagenomic fragments of species with very balanced abundance ratios (say 1:1) to very different abundance ratios (e.g. 1:24) with consistently higher accuracy than existing methods. Availability: MetaCluster 3.0 can be downloaded at http://i.cs.hku.hk/~alse/MetaCluster/. Contact:cmleung2@cs.hku.hk; chin@cs.hku.hk
Year
DOI
Venue
2011
10.1093/bioinformatics/btr186
Bioinformatics
Keywords
Field
DocType
species abundance
Genome,Phylogenetic tree,Computer science,Algorithm,Metagenomics,Contig,Relative species abundance,Bioinformatics,Merge (version control)
Journal
Volume
Issue
ISSN
27
11
1367-4803
Citations 
PageRank 
References 
20
1.15
10
Authors
10
Name
Order
Citations
PageRank
Henry C. M. Leung150336.59
Siu-ming Yiu2102692.90
Bin Yang3382.43
Yu Peng418514.75
Yi Wang5603.59
Zhihua Liu6201.15
Jing-Chi Chen7453.08
Junjie Qin815418.60
Ruiqiang Li976591.23
Francis Y. L. Chin102173377.15