MetaBAT 2: an adaptive binning algorithm for robust and efficient genome reconstruction from metagenome assemblies

Dongwan D. KangFeng LiEdward KirtonAshleigh ThomasRob EganHong AnZhong Wang

综合科研成果方向论文：MetaBAT 2: an adaptive binning algorithm for robust and efficient genome

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该条目来自 ACSA 论文清单，可继续补充摘要、分类证据与全文解读。

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title: MetaBAT 2: an adaptive binning algorithm for robust and efficient genome reconstruction from metagenome assemblies
title_zh: 待补充
abstract: 待补充
abstract_zh: 待补充
keywords: 学位认定 B
year: 2019
published_date: 待补充
online_date: 待补充
paper_type: Journal
publication_status: Published
volume: 待补充
issue: 待补充
pages: 待补充
article_number: 待补充
publisher: Nature
doi: 10.7287/peerj.preprints.27522v1
research_area: 综合科研成果
tags: 学位认定 B
category: 综合科研成果
summary: 该条目来自 ACSA 论文清单，可继续补充摘要、分类证据与全文解读。
authors: Dongwan D. Kang, Feng Li, Edward Kirton, Ashleigh Thomas, Rob Egan, Hong An, Zhong Wang
corresponding_authors: 安虹
affiliations: 待补充
funding: 待补充

Research area

综合科研成果

Citation

Dongwan D. Kang, Feng Li, Edward Kirton, Ashleigh Thomas, Rob Egan, Hong An, Zhong Wang, MetaBAT 2: an adaptive binning algorithm for robust and efficient genome reconstruction from metagenome assemblies. PeerJ. 1-13, July 26, 2019 （Metabat是近几年所有分箱工具中最受欢迎的工具（引用达465+14）。 2019年发表在PeerJ上的新版Metabat2更是在完成度、效率等多方面均优于Metabat和同类工具[1]。仅在2019年当年Metabat2就已经被Cell、Nature Biotechnology、Genome Biology等多篇高水平期刊引用。）

BibTeX

@article{acsa2019_92,
  title = {MetaBAT 2: an adaptive binning algorithm for robust and efficient genome reconstruction from metagenome assemblies},
  year = {2019},
  doi = {10.7287/peerj.preprints.27522v1}
}