oru.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Binning metagenomic contigs by coverage and composition
Science for Life Laboratory, School of Biotechnology, Division of Gene Technology, KTH Royal Institute of Technology, Stockholm, Sweden.
Science for Life Laboratory, School of Biotechnology, Division of Gene Technology, KTH Royal Institute of Technology, Stockholm, Sweden.
Bioinformatics Infrastructure for Life Sciences (BILS), Stockholm, Sweden.
School of Engineering, University of Glasgow, Glasgow, UK.
Show others and affiliations
2014 (English)In: Nature Methods, ISSN 1548-7091, E-ISSN 1548-7105, Vol. 11, no 11, p. 1144-6Article in journal (Refereed) Published
Abstract [en]

Shotgun sequencing enables the reconstruction of genomes from complex microbial communities, but because assembly does not reconstruct entire genomes, it is necessary to bin genome fragments. Here we present CONCOCT, a new algorithm that combines sequence composition and coverage across multiple samples, to automatically cluster contigs into genomes. We demonstrate high recall and precision on artificial as well as real human gut metagenome data sets.

Place, publisher, year, edition, pages
2014. Vol. 11, no 11, p. 1144-6
National Category
Bioinformatics (Computational Biology)
Identifiers
URN: urn:nbn:se:oru:diva-41485DOI: 10.1038/nmeth.3103ISI: 000344580600021PubMedID: 25218180Scopus ID: 2-s2.0-84908597294OAI: oai:DiVA.org:oru-41485DiVA, id: diva2:780487
Note

sponsors:

COST project Grant(s): ES1103 

Swedish Research Councils VR Grant(s): 2011-5689 

FORMAS Grant(s): 2009-1174 

EC BONUS project BLUEPRINT  

EPSRC Career Acceleration Fellowship Grant(s): EP/H003851/1 

Unilever R&D Port Sunlight, Bebington, UK  

Academy of Finland Grant(s): 256950 

UK Medical Research Council Special Training Fellowship in Biomedical Informatics  

UK National Institute for Health Research (NIHR) Centre for Surgical Reconstruction and Microbiology  

NIHR Surgical Reconstruction and Microbiology Research Centre 

Note: BILS (Bioinformatics Infrastructure for Life Sciences) is a distributed national research infrastructure with support from the Swedish Research Council. The aim of BILS is to provide bioinformatics support for life science researchers in Sweden.

Available from: 2015-01-14 Created: 2015-01-14 Last updated: 2018-06-15Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textPubMedScopus

Authority records BETA

Bjarnason, Brynjar Smári

Search in DiVA

By author/editor
Bjarnason, Brynjar Smári
In the same journal
Nature Methods
Bioinformatics (Computational Biology)

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 354 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf