Literature DB >> 22851513

Taxonomic binning of metagenome samples generated by next-generation sequencing technologies.

Johannes Dröge1, Alice C McHardy.   

Abstract

Metagenome research uses random shotgun sequencing of microbial community DNA to study the genetic sequences of its members without cultivation. This development has been strongly supported by improvements in sequencing technologies, which have rendered sequencing cheaper than before. As a consequence, downstream computational analysis of metagenome sequence samples is now faced with large amounts of complex data. One of the essential steps in metagenome analysis is reconstruction of draft genomes for populations of a community or of draft 'pan-genomes' for higher level clades. 'Taxonomic binning' corresponds to the process of assigning a taxonomic identifier to sequence fragments, based on information such as sequence similarity, sequence composition or read coverage. This is used for draft genome reconstruction, if sequencing coverage is insufficient for reconstruction based on assembly information alone. Subsequent functional and metabolic annotation of draft genomes allows a genome-level analysis of novel uncultured microbial species and even inference of their cultivation requirements.

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Year:  2012        PMID: 22851513     DOI: 10.1093/bib/bbs031

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  36 in total

1.  Insights into the phylogeny and coding potential of microbial dark matter.

Authors:  Christian Rinke; Patrick Schwientek; Alexander Sczyrba; Natalia N Ivanova; Iain J Anderson; Jan-Fang Cheng; Aaron Darling; Stephanie Malfatti; Brandon K Swan; Esther A Gies; Jeremy A Dodsworth; Brian P Hedlund; George Tsiamis; Stefan M Sievert; Wen-Tso Liu; Jonathan A Eisen; Steven J Hallam; Nikos C Kyrpides; Ramunas Stepanauskas; Edward M Rubin; Philip Hugenholtz; Tanja Woyke
Journal:  Nature       Date:  2013-07-14       Impact factor: 49.962

Review 2.  Impact of single-cell genomics and metagenomics on the emerging view of extremophile "microbial dark matter".

Authors:  Brian P Hedlund; Jeremy A Dodsworth; Senthil K Murugapiran; Christian Rinke; Tanja Woyke
Journal:  Extremophiles       Date:  2014-08-12       Impact factor: 2.395

3.  ESPRIT-Forest: Parallel clustering of massive amplicon sequence data in subquadratic time.

Authors:  Yunpeng Cai; Wei Zheng; Jin Yao; Yujie Yang; Volker Mai; Qi Mao; Yijun Sun
Journal:  PLoS Comput Biol       Date:  2017-04-24       Impact factor: 4.475

4.  Improved Microbial Community Characterization of 16S rRNA via Metagenome Hybridization Capture Enrichment.

Authors:  Megan S Beaudry; Jincheng Wang; Troy J Kieran; Jesse Thomas; Natalia J Bayona-Vásquez; Bei Gao; Alison Devault; Brian Brunelle; Kun Lu; Jia-Sheng Wang; Olin E Rhodes; Travis C Glenn
Journal:  Front Microbiol       Date:  2021-04-27       Impact factor: 5.640

5.  Bayesian mixture analysis for metagenomic community profiling.

Authors:  Sofia Morfopoulou; Vincent Plagnol
Journal:  Bioinformatics       Date:  2015-05-21       Impact factor: 6.937

6.  Scalable metagenomic taxonomy classification using a reference genome database.

Authors:  Sasha K Ames; David A Hysom; Shea N Gardner; G Scott Lloyd; Maya B Gokhale; Jonathan E Allen
Journal:  Bioinformatics       Date:  2013-07-04       Impact factor: 6.937

7.  MetaCluster-TA: taxonomic annotation for metagenomic data based on assembly-assisted binning.

Authors:  Yi Wang; Henry Leung; Siu Yiu; Francis Chin
Journal:  BMC Genomics       Date:  2014-01-24       Impact factor: 3.969

Review 8.  Metagenomic search strategies for interactions among plants and multiple microbes.

Authors:  Ulrich Melcher; Ruchi Verma; William L Schneider
Journal:  Front Plant Sci       Date:  2014-06-11       Impact factor: 5.753

9.  Strain- and plasmid-level deconvolution of a synthetic metagenome by sequencing proximity ligation products.

Authors:  Christopher W Beitel; Lutz Froenicke; Jenna M Lang; Ian F Korf; Richard W Michelmore; Jonathan A Eisen; Aaron E Darling
Journal:  PeerJ       Date:  2014-05-27       Impact factor: 2.984

10.  Fast and sensitive alignment of microbial whole genome sequencing reads to large sequence datasets on a desktop PC: application to metagenomic datasets and pathogen identification.

Authors:  Lőrinc S Pongor; Roberto Vera; Balázs Ligeti
Journal:  PLoS One       Date:  2014-07-31       Impact factor: 3.240

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