%0 Journal Article
%1 Ye_2009
%A Ye, K.
%A Schulz, M. H.
%A Long, Q.
%A Apweiler, R.
%A Ning, Z.
%D 2009
%I Oxford University Press (OUP)
%J Bioinformatics
%K cancer-research fulltext indel shouldread software variant-calling
%N 21
%P 2865--2871
%R 10.1093/bioinformatics/btp394
%T Pindel: a pattern growth approach to detect break points of large deletions and medium sized insertions from paired-end short reads
%U https://doi.org/10.1093%2Fbioinformatics%2Fbtp394
%V 25
@article{Ye_2009,
added-at = {2020-09-10T00:39:10.000+0200},
author = {Ye, K. and Schulz, M. H. and Long, Q. and Apweiler, R. and Ning, Z.},
biburl = {https://www.bibsonomy.org/bibtex/24e898a19baccfa82759b83ad11014374/marcsaric},
description = {Pindel: a pattern growth approach to detect break points of large deletions and medium sized insertions from paired-end short reads},
doi = {10.1093/bioinformatics/btp394},
interhash = {c169a6b9af3c58ef9b0b67eddf14b5cf},
intrahash = {4e898a19baccfa82759b83ad11014374},
journal = {Bioinformatics},
keywords = {cancer-research fulltext indel shouldread software variant-calling},
month = jun,
number = 21,
pages = {2865--2871},
publisher = {Oxford University Press ({OUP})},
timestamp = {2020-09-10T00:39:10.000+0200},
title = {Pindel: a pattern growth approach to detect break points of large deletions and medium sized insertions from paired-end short reads},
url = {https://doi.org/10.1093%2Fbioinformatics%2Fbtp394},
volume = 25,
year = 2009
}