SmashCommunity: A metagenomic annotation and analysis tool.

Research output: Contribution to journal › Journal article › Research › peer-review

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SmashCommunity: A metagenomic annotation and analysis tool. / Arumugam, Manimozhiyan; Harrington, Eoghan D; Foerstner, Konrad U; Raes, Jeroen; Bork, Peer.

In: Bioinformatics, Vol. 26, No. 23, 10.2010, p. 2977-2978.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Arumugam, M, Harrington, ED, Foerstner, KU, Raes, J & Bork, P 2010, 'SmashCommunity: A metagenomic annotation and analysis tool.', Bioinformatics, vol. 26, no. 23, pp. 2977-2978. https://doi.org/10.1093/bioinformatics/btq536

APA

Arumugam, M., Harrington, E. D., Foerstner, K. U., Raes, J., & Bork, P. (2010). SmashCommunity: A metagenomic annotation and analysis tool. Bioinformatics, 26(23), 2977-2978. https://doi.org/10.1093/bioinformatics/btq536

Vancouver

Arumugam M, Harrington ED, Foerstner KU, Raes J, Bork P. SmashCommunity: A metagenomic annotation and analysis tool. Bioinformatics. 2010 Oct;26(23):2977-2978. https://doi.org/10.1093/bioinformatics/btq536

Author

Arumugam, Manimozhiyan ; Harrington, Eoghan D ; Foerstner, Konrad U ; Raes, Jeroen ; Bork, Peer. / SmashCommunity: A metagenomic annotation and analysis tool. In: Bioinformatics. 2010 ; Vol. 26, No. 23. pp. 2977-2978.

Bibtex

@article{92cd4b86869e40cb8e4026b7127f7b23,
title = "SmashCommunity: A metagenomic annotation and analysis tool.",
abstract = "SUMMARY: SmashCommunity is a stand-alone metagenomic annotation and analysis pipeline suitable for data from Sanger and 454 sequencing technologies. It supports state-of-the-art software for essential metagenomic tasks such as assembly and gene prediction. It provides tools to estimate the quantitative phylogenetic and functional compositions of metagenomes, to compare compositions of multiple metagenomes and to produce intuitive visual representations of such analyses. AVAILABILITY: SmashCommunity is freely available at http://www.bork.embl.de/software/smash CONTACT: bork@embl.de.",
author = "Manimozhiyan Arumugam and Harrington, {Eoghan D} and Foerstner, {Konrad U} and Jeroen Raes and Peer Bork",
year = "2010",
month = oct,
doi = "10.1093/bioinformatics/btq536",
language = "English",
volume = "26",
pages = "2977--2978",
journal = "Computer Applications in the Biosciences",
issn = "1471-2105",
publisher = "Oxford University Press",
number = "23",

}

RIS

TY - JOUR

T1 - SmashCommunity: A metagenomic annotation and analysis tool.

AU - Arumugam, Manimozhiyan

AU - Harrington, Eoghan D

AU - Foerstner, Konrad U

AU - Raes, Jeroen

AU - Bork, Peer

PY - 2010/10

Y1 - 2010/10

N2 - SUMMARY: SmashCommunity is a stand-alone metagenomic annotation and analysis pipeline suitable for data from Sanger and 454 sequencing technologies. It supports state-of-the-art software for essential metagenomic tasks such as assembly and gene prediction. It provides tools to estimate the quantitative phylogenetic and functional compositions of metagenomes, to compare compositions of multiple metagenomes and to produce intuitive visual representations of such analyses. AVAILABILITY: SmashCommunity is freely available at http://www.bork.embl.de/software/smash CONTACT: bork@embl.de.

AB - SUMMARY: SmashCommunity is a stand-alone metagenomic annotation and analysis pipeline suitable for data from Sanger and 454 sequencing technologies. It supports state-of-the-art software for essential metagenomic tasks such as assembly and gene prediction. It provides tools to estimate the quantitative phylogenetic and functional compositions of metagenomes, to compare compositions of multiple metagenomes and to produce intuitive visual representations of such analyses. AVAILABILITY: SmashCommunity is freely available at http://www.bork.embl.de/software/smash CONTACT: bork@embl.de.

U2 - 10.1093/bioinformatics/btq536

DO - 10.1093/bioinformatics/btq536

M3 - Journal article

C2 - 20959381

VL - 26

SP - 2977

EP - 2978

JO - Computer Applications in the Biosciences

JF - Computer Applications in the Biosciences

SN - 1471-2105

IS - 23

ER -

ID: 43976240