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Sequence clustering in bioinformatics: an empirical study

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成果类型:
期刊论文
作者:
Zou, Quan;Lin, Gang;Jiang, Xingpeng(蒋兴鹏);Liu, Xiangrong*;Zeng, Xiangxiang*
通讯作者:
Liu, Xiangrong;Zeng, Xiangxiang
作者机构:
[Lin, Gang; Zou, Quan] Tianjin Univ, Tianjin, Peoples R China.
[Zou, Quan] Univ Elect Sci & Technol China, Chengdu, Sichuan, Peoples R China.
[Zou, Quan] IEEE, Piscataway, NJ USA.
[Zou, Quan] ACM, New York, NY USA.
[Jiang, Xingpeng] Cent China Normal Univ, Wuhan, Hubei, Peoples R China.
通讯机构:
[Liu, XR; Zeng, XX] X
Xiamen Univ, Sch Informat Sci & Technol, Xiamen 361005, Peoples R China.
语种:
英文
关键词:
operational taxonomic unit;16S ribosomal RNA;microbiome;sequence clustering;sequence redundancy removal
期刊:
BRIEFINGS IN BIOINFORMATICS
ISSN:
1467-5463
年:
2020
卷:
21
期:
1
页码:
1-10
基金类别:
The work was supported by theNational Key RandD Program of China (SQ2018YFC090002), (No. 61771331, No.61872309) and the funding from Shandong Provincial Key Laboratory of Biophysics
机构署名:
本校为其他机构
摘要:
Sequence clustering is a basic bioinformatics task that is attracting renewed attention with the development of metagenomics and microbiomics. The latest sequencing techniques have decreased costs and as a result, massive amounts of DNA/RNA sequences are being produced. The challenge is to cluster the sequence data using stable, quick and accurate methods. For microbiome sequencing data, 16S ribosomal RNA operational taxonomic units are typically used. However, there is often a gap between algorithm developers and bioinformatics users. Differen...

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