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Meta-Storms: efficient search for similar microbial communities based on a novel indexing scheme and similarity score for metagenomic data
Su, Xiaoquan; Xu, Jian; Ning, Kang1
2012-10-01
发表期刊BIOINFORMATICS
卷号28期号:19页码:2493-2501
摘要Background: It has long been intriguing scientists to effectively compare different microbial communities (also referred as 'metagenomic samples' here) in a large scale: given a set of unknown samples, find similar metagenomic samples from a large repository and examine how similar these samples are. With the current metagenomic samples accumulated, it is possible to build a database of metagenomic samples of interests. Any metagenomic samples could then be searched against this database to find the most similar metagenomic sample(s). However, on one hand, current databases with a large number of metagenomic samples mostly serve as data repositories that offer few functionalities for analysis; and on the other hand, methods to measure the similarity of metagenomic data work well only for small set of samples by pairwise comparison. It is not yet clear, how to efficiently search for metagenomic samples against a large metagenomic database.
文章类型Article
WOS标题词Science & Technology ; Life Sciences & Biomedicine ; Technology ; Physical Sciences
DOI10.1093/bioinformatics/bts470
关键词[WOS]GUT MICROBIOME ; DIVERSITY ; CONVERGENCE ; BIOSPHERE ; RELEVANT ; CARIES ; DIET
收录类别SCI
语种英语
WOS研究方向Biochemistry & Molecular Biology ; Biotechnology & Applied Microbiology ; Computer Science ; Mathematical & Computational Biology ; Mathematics
WOS类目Biochemical Research Methods ; Biotechnology & Applied Microbiology ; Computer Science, Interdisciplinary Applications ; Mathematical & Computational Biology ; Statistics & Probability
WOS记录号WOS:000309687500012
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文献类型期刊论文
条目标识符http://ir.qibebt.ac.cn/handle/337004/6340
专题单细胞中心组群
作者单位1.Chinese Acad Sci, Qingdao Inst Bioenergy & Bioproc Technol, Shandong Key Lab Energy Genet, CAS Key Lab Biofuels, Qingdao 266101, Shandong, Peoples R China
2.Chinese Acad Sci, Qingdao Inst Bioenergy & Bioproc Technol, BioEnergy Genome Ctr, Qingdao 266101, Shandong, Peoples R China
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Su, Xiaoquan,Xu, Jian,Ning, Kang. Meta-Storms: efficient search for similar microbial communities based on a novel indexing scheme and similarity score for metagenomic data[J]. BIOINFORMATICS,2012,28(19):2493-2501.
APA Su, Xiaoquan,Xu, Jian,&Ning, Kang.(2012).Meta-Storms: efficient search for similar microbial communities based on a novel indexing scheme and similarity score for metagenomic data.BIOINFORMATICS,28(19),2493-2501.
MLA Su, Xiaoquan,et al."Meta-Storms: efficient search for similar microbial communities based on a novel indexing scheme and similarity score for metagenomic data".BIOINFORMATICS 28.19(2012):2493-2501.
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