MetaSort untangles metagenome assembly by reducing microbial community complexity

MetaSort untangles metagenome assembly by reducing microbial community complexity

Currently available metagenomic data analysis relies on reference genomes. Here, the authors describe a newde novometagenomic assembly method, metaSort, that constructs bacterial genomes from metagenomic samples to reduce microbial community complexity while increasing genome recovery and assembly.

Bibliographic Details
Main Authors: Peifeng Ji, Yanming Zhang, Jinfeng Wang, Fangqing Zhao
Format: Article
Language:English
Published: Nature Publishing Group 2017-01-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/ncomms14306
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spelling doaj-848e7faf7be0413696f7c8d9de4c4b4c2021-05-11T07:53:39ZengNature Publishing GroupNature Communications2041-17232017-01-018111410.1038/ncomms14306MetaSort untangles metagenome assembly by reducing microbial community complexityPeifeng Ji0Yanming Zhang1Jinfeng Wang2Fangqing Zhao3Computational Genomics Lab, Beijing Institutes of Life Science, Chinese Academy of SciencesComputational Genomics Lab, Beijing Institutes of Life Science, Chinese Academy of SciencesComputational Genomics Lab, Beijing Institutes of Life Science, Chinese Academy of SciencesComputational Genomics Lab, Beijing Institutes of Life Science, Chinese Academy of SciencesCurrently available metagenomic data analysis relies on reference genomes. Here, the authors describe a newde novometagenomic assembly method, metaSort, that constructs bacterial genomes from metagenomic samples to reduce microbial community complexity while increasing genome recovery and assembly.https://doi.org/10.1038/ncomms14306
collection DOAJ
language English
format Article
sources DOAJ
author Peifeng Ji
Yanming Zhang
Jinfeng Wang
Fangqing Zhao
spellingShingle Peifeng Ji
Yanming Zhang
Jinfeng Wang
Fangqing Zhao
MetaSort untangles metagenome assembly by reducing microbial community complexity
Nature Communications
author_facet Peifeng Ji
Yanming Zhang
Jinfeng Wang
Fangqing Zhao
author_sort Peifeng Ji
title MetaSort untangles metagenome assembly by reducing microbial community complexity
title_short MetaSort untangles metagenome assembly by reducing microbial community complexity
title_full MetaSort untangles metagenome assembly by reducing microbial community complexity
title_fullStr MetaSort untangles metagenome assembly by reducing microbial community complexity
title_full_unstemmed MetaSort untangles metagenome assembly by reducing microbial community complexity
title_sort metasort untangles metagenome assembly by reducing microbial community complexity
publisher Nature Publishing Group
series Nature Communications
issn 2041-1723
publishDate 2017-01-01
description Currently available metagenomic data analysis relies on reference genomes. Here, the authors describe a newde novometagenomic assembly method, metaSort, that constructs bacterial genomes from metagenomic samples to reduce microbial community complexity while increasing genome recovery and assembly.
url https://doi.org/10.1038/ncomms14306
work_keys_str_mv AT peifengji metasortuntanglesmetagenomeassemblybyreducingmicrobialcommunitycomplexity
AT yanmingzhang metasortuntanglesmetagenomeassemblybyreducingmicrobialcommunitycomplexity
AT jinfengwang metasortuntanglesmetagenomeassemblybyreducingmicrobialcommunitycomplexity
AT fangqingzhao metasortuntanglesmetagenomeassemblybyreducingmicrobialcommunitycomplexity
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