@article{1975b4150e6b48199fc06c005d829062,
title = "NovoBreak: Local assembly for breakpoint detection in cancer genomes",
abstract = "We present novoBreak, a genome-wide local assembly algorithm that discovers somatic and germline structural variation breakpoints in whole-genome sequencing data. novoBreak consistently outperformed existing algorithms on real cancer genome data and on synthetic tumors in the ICGC-TCGA DREAM 8.5 Somatic Mutation Calling Challenge primarily because it more effectively utilized reads spanning breakpoints. novoBreak also demonstrated great sensitivity in identifying short insertions and deletions.",
author = "Zechen Chong and Jue Ruan and Min Gao and Wanding Zhou and Tenghui Chen and Xian Fan and Li Ding and Lee, {Anna Y.} and Paul Boutros and Junjie Chen and Ken Chen",
note = "Funding Information: This study was supported in part by the National Institutes of Health (grant numbers R01 CA172652 to K.C. and U41 HG007497 to C. Lee, Jackson Lab), the National Cancer Institute Cancer Center Support Grant (P30 CA016672 to R. Depinho, MD Anderson Cancer Center), Andrew Sabin Family Foundation to K.C., and a training fellowship from the Computational Cancer Biology Training Program of the Gulf Coast Consortia (CPRIT grant number RP140113) to Z.C. Publisher Copyright: {\textcopyright} 2017 Nature America, Inc., part of Springer Nature. All rights reserved.",
year = "2016",
month = dec,
day = "29",
doi = "10.1038/nmeth.4084",
language = "English",
volume = "14",
pages = "65--67",
journal = "Nature Methods",
issn = "1548-7091",
number = "1",
}