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BreakSeek: a breakpoint-based algorithm for full spectral range INDEL detection
Although recent developed algorithms have integrated multiple signals to improve sensitivity for insertion and deletion (INDEL) detection, they are far from being perfect and still have great limitations in detecting a full size range of INDELs. Here we present BreakSeek, a novel breakpoint-based al...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4538813/ https://www.ncbi.nlm.nih.gov/pubmed/26117537 http://dx.doi.org/10.1093/nar/gkv605 |
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author | Zhao, Hui Zhao, Fangqing |
author_facet | Zhao, Hui Zhao, Fangqing |
author_sort | Zhao, Hui |
collection | PubMed |
description | Although recent developed algorithms have integrated multiple signals to improve sensitivity for insertion and deletion (INDEL) detection, they are far from being perfect and still have great limitations in detecting a full size range of INDELs. Here we present BreakSeek, a novel breakpoint-based algorithm, which can unbiasedly and efficiently detect both homozygous and heterozygous INDELs, ranging from several base pairs to over thousands of base pairs, with accurate breakpoint and heterozygosity rate estimations. Comprehensive evaluations on both simulated and real datasets revealed that BreakSeek outperformed other existing methods on both sensitivity and specificity in detecting both small and large INDELs, and uncovered a significant amount of novel INDELs that were missed before. In addition, by incorporating sophisticated statistic models, we for the first time investigated and demonstrated the importance of handling false and conflicting signals for multi-signal integrated methods. |
format | Online Article Text |
id | pubmed-4538813 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-45388132015-08-18 BreakSeek: a breakpoint-based algorithm for full spectral range INDEL detection Zhao, Hui Zhao, Fangqing Nucleic Acids Res Computational Biology Although recent developed algorithms have integrated multiple signals to improve sensitivity for insertion and deletion (INDEL) detection, they are far from being perfect and still have great limitations in detecting a full size range of INDELs. Here we present BreakSeek, a novel breakpoint-based algorithm, which can unbiasedly and efficiently detect both homozygous and heterozygous INDELs, ranging from several base pairs to over thousands of base pairs, with accurate breakpoint and heterozygosity rate estimations. Comprehensive evaluations on both simulated and real datasets revealed that BreakSeek outperformed other existing methods on both sensitivity and specificity in detecting both small and large INDELs, and uncovered a significant amount of novel INDELs that were missed before. In addition, by incorporating sophisticated statistic models, we for the first time investigated and demonstrated the importance of handling false and conflicting signals for multi-signal integrated methods. Oxford University Press 2015-08-18 2015-06-27 /pmc/articles/PMC4538813/ /pubmed/26117537 http://dx.doi.org/10.1093/nar/gkv605 Text en © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Computational Biology Zhao, Hui Zhao, Fangqing BreakSeek: a breakpoint-based algorithm for full spectral range INDEL detection |
title | BreakSeek: a breakpoint-based algorithm for full spectral range INDEL detection |
title_full | BreakSeek: a breakpoint-based algorithm for full spectral range INDEL detection |
title_fullStr | BreakSeek: a breakpoint-based algorithm for full spectral range INDEL detection |
title_full_unstemmed | BreakSeek: a breakpoint-based algorithm for full spectral range INDEL detection |
title_short | BreakSeek: a breakpoint-based algorithm for full spectral range INDEL detection |
title_sort | breakseek: a breakpoint-based algorithm for full spectral range indel detection |
topic | Computational Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4538813/ https://www.ncbi.nlm.nih.gov/pubmed/26117537 http://dx.doi.org/10.1093/nar/gkv605 |
work_keys_str_mv | AT zhaohui breakseekabreakpointbasedalgorithmforfullspectralrangeindeldetection AT zhaofangqing breakseekabreakpointbasedalgorithmforfullspectralrangeindeldetection |