%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 }