Bayexer: an accurate and fast Bayesian demultiplexer for Illumina sequences
Yi, Haisi1,2; Li, Zhe3; Li, Tao1; Zhao, Jindong1,4
2015-12-15
Source PublicationBIOINFORMATICS
ISSN1367-4803
Volume31Issue:24Pages:4000-4002
AbstractDemultiplexing is used after high-throughput sequencing to in silico assign reads to the samples of origin based on the sequenced reads of the indices. Existing demultiplexing tools based on the similarity between the read index and the reference index sequences may fail to provide satisfactory results on low-quality datasets. We developed Bayexer, a Bayesian demultiplexing algorithm for Illumina sequencers. Bayexer uses the information extracted directly from the contaminant sequences of the targeting reads as the training dataset for a naive Bayes classifier to assign reads. According to our evaluation, Bayexer provides higher capability, accuracy and speed on various real datasets than other tools.
SubtypeArticle
DOI10.1093/bioinformatics/btv501
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine ; Technology ; Physical Sciences
Indexed BySCI
Funding OrganizationAutonomous Projects of the State Key Laboratory of Freshwater Ecology and Biotechnology(2011FBZ31 ; Autonomous Projects of the State Key Laboratory of Freshwater Ecology and Biotechnology(2011FBZ31 ; 2011FBZ32) ; 2011FBZ32) ; Autonomous Projects of the State Key Laboratory of Freshwater Ecology and Biotechnology(2011FBZ31 ; Autonomous Projects of the State Key Laboratory of Freshwater Ecology and Biotechnology(2011FBZ31 ; 2011FBZ32) ; 2011FBZ32)
Language英语
WOS Research AreaBiochemistry & Molecular Biology ; Biotechnology & Applied Microbiology ; Computer Science ; Mathematical & Computational Biology ; Mathematics
WOS SubjectBiochemical Research Methods ; Biotechnology & Applied Microbiology ; Computer Science, Interdisciplinary Applications ; Mathematical & Computational Biology ; Statistics & Probability
WOS IDWOS:000366630400019
Funding OrganizationAutonomous Projects of the State Key Laboratory of Freshwater Ecology and Biotechnology(2011FBZ31 ; Autonomous Projects of the State Key Laboratory of Freshwater Ecology and Biotechnology(2011FBZ31 ; 2011FBZ32) ; 2011FBZ32) ; Autonomous Projects of the State Key Laboratory of Freshwater Ecology and Biotechnology(2011FBZ31 ; Autonomous Projects of the State Key Laboratory of Freshwater Ecology and Biotechnology(2011FBZ31 ; 2011FBZ32) ; 2011FBZ32)
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Cited Times:4[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ihb.ac.cn/handle/342005/27527
Collection藻类生物学及应用研究中心_水生生物分子与细胞生物学研究中心
Affiliation1.Chinese Acad Sci, Inst Hydrobiol, Key Lab Algal Biol, Wuhan 430072, Hubei, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Inst Bot, State Key Lab Systemat & Evolutionary, Beijing 100093, Peoples R China
4.Peking Univ, Coll Life Sci, Beijing 100871, Peoples R China
Recommended Citation
GB/T 7714
Yi, Haisi,Li, Zhe,Li, Tao,et al. Bayexer: an accurate and fast Bayesian demultiplexer for Illumina sequences[J]. BIOINFORMATICS,2015,31(24):4000-4002.
APA Yi, Haisi,Li, Zhe,Li, Tao,&Zhao, Jindong.(2015).Bayexer: an accurate and fast Bayesian demultiplexer for Illumina sequences.BIOINFORMATICS,31(24),4000-4002.
MLA Yi, Haisi,et al."Bayexer: an accurate and fast Bayesian demultiplexer for Illumina sequences".BIOINFORMATICS 31.24(2015):4000-4002.
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