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Binning_refiner: improving genome bins through the combination of different binning programs
- Source :
- Bioinformatics (Oxford, England). 33(12)
- Publication Year :
- 2016
-
Abstract
- Summary Microbial genomes have recently been reconstructed from metagenomic datasets using binning approaches. Inconsistent binning results are however often observed between different binning programs, likely due to the different algorithms or statistical models used. We present Binning_refiner, a pipeline that merges the results of different binning programs. Our results demonstrated that Binning_refiner can significantly reduce the contamination level of genome bins and increase the total size of contamination-free and ‘good-quality’ genome bins. Binning_refiner is thus an useful tool to improve the quality of genome bins derived from metagenomic data. Availability and Implementation Binning_refiner is implemented in Python3 and is freely available at: https://github.com/songweizhi/Binning_refiner. Supplementary information Supplementary data are available at Bioinformatics online.
- Subjects :
- 0301 basic medicine
Statistics and Probability
Microbial Genomes
Computer science
Pipeline (computing)
030106 microbiology
computer.software_genre
Bioinformatics
Biochemistry
Genome
03 medical and health sciences
Molecular Biology
Models, Statistical
Statistical model
Sequence Analysis, DNA
Computer Science Applications
Computational Mathematics
Genome, Microbial
ComputingMethodologies_PATTERNRECOGNITION
030104 developmental biology
Computational Theory and Mathematics
Metagenomics
Data mining
computer
Algorithms
Software
Subjects
Details
- ISSN :
- 13674811
- Volume :
- 33
- Issue :
- 12
- Database :
- OpenAIRE
- Journal :
- Bioinformatics (Oxford, England)
- Accession number :
- edsair.doi.dedup.....6a3514a73039292f6b1f282708463dc4