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AbundanceBin specifications


Unique identifier OMICS_01471
Name AbundanceBin
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Computer skills Advanced
Stability Stable
Maintained Yes




No version available

Publication for AbundanceBin

AbundanceBin citations


Current Knowledge and Computational Techniques for Grapevine Meta Omics Analysis

Front Plant Sci
PMCID: 5767322
PMID: 29375610
DOI: 10.3389/fpls.2017.02241

[…] unique taxon to each cluster through a set of references computed on known genomes. However, none of these approaches is able to estimate Genomes Relative Abundance (GRAs) for microbial communities. AbundanceBin (Wu and Ye, ) uses the content of k-mers in the reads to estimate abundance of the genomes. The main assumption in this process is that reads are sampled from genomes following a Poisson […]


Bioinformatics strategies for taxonomy independent binning and visualization of sequences in shotgun metagenomics

Comput Struct Biotechnol J
PMCID: 5148923
PMID: 27980708
DOI: 10.1016/j.csbj.2016.11.005

[…] art of a larger bin belonging to highly abundant species. This issue can be solved by use of abundance based binning methods, which can be further subdivided into methods for working with one sample (AbundanceBin , MBBC ), and methods working with series of metagenomic samples (Canopy ). The key idea of the first group is that the distribution of sequenced reads follows the Lander-Waterman model, […]


A New Binning Method for Metagenomics by One Dimensional Cellular Automata

Int J Genomics
PMCID: 4628670
PMID: 26557648
DOI: 10.1155/2015/197895

[…] usage [, ], which can be directly extracted from the nucleotide sequences. According to different signatures or observations, a number of composition-based methods are proposed as the binning tools. AbundanceBin [] utilizes the k-mer frequency to group reads, while TOSS [] is based on sufficiently long mers and integrates AbundanceBin into separating reads from species with different abundances. […]


Exploiting topic modeling to boost metagenomic reads binning

BMC Bioinformatics
PMCID: 4402587
PMID: 25859745
DOI: 10.1186/1471-2105-16-S5-S2

[…] e metagenomic datasets usually consumes a lot memory and time, here we present the memory and time costs of AbundanceBin, MCluster and our method on Dataset-A and Dataset-B in Table . We can see that AbundanceBin consumes the least memory, while MCluster runs fastest. As training LDA is time-consuming, TM-MCluster uses the most time and memory.Finally, we compare our method TM-MCluster with MetaCl […]


Systems based approaches to unravel multi species microbial community functioning

Comput Struct Biotechnol J
PMCID: 4348430
PMID: 25750697
DOI: 10.1016/j.csbj.2014.11.009

[…] s are classified into discrete clusters commonly referred to as bins. Binning algorithms have been specifically developed for metagenomic sequence read assembly; examples of these include Meta-IDBA , AbundanceBin , MetaVelvet and Metacluster , , . Further binning strategies can then be employed to retrieve single genomes from the fragmented assembled contigs. One of the most widely used binning a […]


An Emerging Mycoplasma Associated with Trichomoniasis, Vaginal Infection and Disease

PLoS One
PMCID: 4206474
PMID: 25337710
DOI: 10.1371/journal.pone.0110943

[…] 2 reads and 241,486,162 bases. The raw data was pre-filtered to remove most human reads (55% of the total reads) using Bowtie 2 with default parameters. The reads were then split into two bins using AbundanceBin : (1) a bin containing abundant reads including those derived from “Ca. M. girerdii”, and (2) a bin containing less abundant reads derived from the minor components of the vaginal microbi […]


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AbundanceBin institution(s)
School of Informatics and Computing, Indiana University, Bloomington, IN, USA

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