Bayexer: an accurate and fast Bayesian demultiplexer for Illumina sequences

doi:10.1093/bioinformatics/btv501

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	Bayexer: an accurate and fast Bayesian demultiplexer for Illumina sequences
	Yi, Haisi 1; Li, Zhe 4; Li, Tao ; Zhao, Jindong 3
刊名	BIOINFORMATICS
	2015
卷号	31 期号:24 页码:4000-4002
ISSN号	1367-4803
DOI	10.1093/bioinformatics/btv501
文献子类	Article
英文摘要	Demultiplexing 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.
学科主题	Biochemical Research Methods ; Biotechnology & Applied Microbiology ; Computer Science, Interdisciplinary Applications ; Mathematical & Computational Biology ; Statistics & Probability
电子版国际标准刊号	1460-2059
出版地	OXFORD
WOS研究方向	Science Citation Index Expanded (SCI-EXPANDED)
语种	英语
出版者	OXFORD UNIV PRESS
WOS记录号	WOS:000366630400019
资助机构	Autonomous Projects of the State Key Laboratory of Freshwater Ecology and Biotechnology [2011FBZ31, 2011FBZ32]
内容类型	期刊论文
源URL	[http://ir.ibcas.ac.cn/handle/2S10CLM1/25798]
专题	系统与进化植物学国家重点实验室
作者单位	1.Chinese Acad Sci, Inst Hydrobiol, Key Lab Algal Biol, Wuhan 430072, Hubei, Peoples R China 2.Peking Univ, Coll Life Sci, Beijing 100871, Peoples R China 3.Chinese Acad Sci, Inst Bot, State Key Lab Systemat & Evolutionary, Beijing 100093, Peoples R China 4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式 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.