Title
CompostBin: a DNA composition-based algorithm for binning environmental shotgun reads
Abstract
A major hindrance to studies of microbial diversity has been that the vast majority of microbes cannot be cultured in the laboratory and thus are not amenable to traditional methods of characterization. Environmental shotgun sequencing (ESS) overcomes this hurdle by sequencing the DNA from the organisms present in a microbial community. The interpretation of this metagenomic data can be greatly facilitated by associating every sequence read with its source organism. We report the development of CompostBin, a DNA composition-based algorithm for analyzing metagenomic sequence reads and distributing them into taxon-specific bins. Unlike previous methods that seek to bin assembled contigs and often require training on known reference genomes, CompostBin has the ability to accurately bin raw sequence reads without need for assembly or training. CompostBin uses a novel weighted PCA algorithm to project the high dimensional DNA composition data into an informative lower-dimensional space, and then uses the normalized cut clustering algorithm on this filtered data set to classify sequences into taxon-specific bins. We demonstrate the algorithm's accuracy on a variety of low to medium complexity data sets.
Year
DOI
Venue
2008
10.1007/978-3-540-78839-3_3
RECOMB
Keywords
Field
DocType
metagenomic sequence,high dimensional dna composition,metagenomic data,medium complexity data set,taxon-specific bin,environmental shotgun sequencing,bin raw sequence,filtered data,pca algorithm,dna composition-based algorithm,feature extraction,microbial community,work in progress,principal component analysis,metagenomics
Genome,Shotgun sequencing,Data set,Bin,Biology,Algorithm,Feature extraction,Contig,Metagenomics,Bioinformatics,Cluster analysis
Conference
Volume
ISSN
ISBN
4955
0302-9743
3-540-78838-7
Citations 
PageRank 
References 
37
2.79
10
Authors
4
Name
Order
Citations
PageRank
Sourav Chatterji1665.94
Ichitaro Yamazaki217425.27
Zhaojun Bai3661107.69
Jonathan A. Eisen410444.89