Open Access
Nature Methods, volume 9, issue 4, pages 357-359
Fast gapped-read alignment with Bowtie 2
1
Center for Bioinformatics and Computational Biology, Institute for Advanced Computer Studies, University of Maryland, College Park, USA
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Publication type: Journal Article
Publication date: 2012-03-04
Journal:
Nature Methods
Quartile SCImago
Q1
Quartile WOS
Q1
Impact factor: 48
ISSN: 15487091, 15487105
PubMed ID:
22388286
Biochemistry
Molecular Biology
Cell Biology
Biotechnology
Abstract
As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
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- We do not take into account publications that without a DOI.
- Statistics recalculated only for publications connected to researchers, organizations and labs registered on the platform.
- Statistics recalculated weekly.
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MLA
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RIS
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TY - JOUR
DO - 10.1038/nmeth.1923
UR - https://doi.org/10.1038%2Fnmeth.1923
TI - Fast gapped-read alignment with Bowtie 2
T2 - Nature Methods
AU - Langmead, Ben
AU - Salzberg, Steven L.
PY - 2012
DA - 2012/03/04 00:00:00
PB - Springer Nature
SP - 357-359
IS - 4
VL - 9
PMID - 22388286
SN - 1548-7091
SN - 1548-7105
ER -
Cite this
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@article{2012_Langmead,
author = {Ben Langmead and Steven L. Salzberg},
title = {Fast gapped-read alignment with Bowtie 2},
journal = {Nature Methods},
year = {2012},
volume = {9},
publisher = {Springer Nature},
month = {mar},
url = {https://doi.org/10.1038%2Fnmeth.1923},
number = {4},
pages = {357--359},
doi = {10.1038/nmeth.1923}
}
Cite this
MLA
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Langmead, Ben, et al. “Fast gapped-read alignment with Bowtie 2.” Nature Methods, vol. 9, no. 4, Mar. 2012, pp. 357-359. https://doi.org/10.1038%2Fnmeth.1923.