Predicting DNA sequence motifs of recombination hotspots by integrative visualization and analysis

Meiotic recombination hotspots play important roles in life sciences, but the regulatory mechanism remain unclear. To predict DNA sequence motifs that regulate recombination hotspots, we designed an open source software tool called “LDsplit” that detects SNPs (single nucleotide polymorphisms) assoc...

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Main Authors: Khil, Pavel P., Przytycka, Teresa M., Yang, Peng, Wu, Min, Kwoh, Chee Keong, R. Daniel Camerini-Otero, Zheng, Jie
Other Authors: School of Computer Engineering
Format: Conference or Workshop Item
Language:English
Published: 2013
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Online Access:https://hdl.handle.net/10356/83920
http://hdl.handle.net/10220/18173
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-839202020-05-28T07:18:31Z Predicting DNA sequence motifs of recombination hotspots by integrative visualization and analysis Khil, Pavel P. Przytycka, Teresa M. Yang, Peng Wu, Min Kwoh, Chee Keong R. Daniel Camerini-Otero Zheng, Jie School of Computer Engineering International Symposium on Integrative Bioinformatics (2012 : Hangzhou, China) DRNTU::Engineering::Computer science and engineering::Software Meiotic recombination hotspots play important roles in life sciences, but the regulatory mechanism remain unclear. To predict DNA sequence motifs that regulate recombination hotspots, we designed an open source software tool called “LDsplit” that detects SNPs (single nucleotide polymorphisms) associated with meiotic recombination hotspots. The association is measured by the difference of historical recombination rates at a hotspot between two sub-populations with different alleles of a candidate SNP. Providing userfriendly graphic interface and integrative visualization, LDsplit provides insight into the relation of recombination hotspots with proximal DNA sequence patterns. MOE (Min. of Education, S’pore) Accepted version 2013-12-09T02:48:51Z 2019-12-06T15:34:40Z 2013-12-09T02:48:51Z 2019-12-06T15:34:40Z 2012 2012 Conference Paper Yang, P., Wu, M., Kwoh, C. K., Khil, P. P., Przytycka, T. M., R. Daniel C. O., & Zheng, J. (2012). Predicting DNA sequence motifs of recombination hotspots by integrative visualization and analysis. International Symposium on Integrative Bioinformatics 2012. https://hdl.handle.net/10356/83920 http://hdl.handle.net/10220/18173 en LDsplit is an open source Java program. application/pdf application/pdf application/octet-stream
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering::Software
spellingShingle DRNTU::Engineering::Computer science and engineering::Software
Khil, Pavel P.
Przytycka, Teresa M.
Yang, Peng
Wu, Min
Kwoh, Chee Keong
R. Daniel Camerini-Otero
Zheng, Jie
Predicting DNA sequence motifs of recombination hotspots by integrative visualization and analysis
description Meiotic recombination hotspots play important roles in life sciences, but the regulatory mechanism remain unclear. To predict DNA sequence motifs that regulate recombination hotspots, we designed an open source software tool called “LDsplit” that detects SNPs (single nucleotide polymorphisms) associated with meiotic recombination hotspots. The association is measured by the difference of historical recombination rates at a hotspot between two sub-populations with different alleles of a candidate SNP. Providing userfriendly graphic interface and integrative visualization, LDsplit provides insight into the relation of recombination hotspots with proximal DNA sequence patterns.
author2 School of Computer Engineering
author_facet School of Computer Engineering
Khil, Pavel P.
Przytycka, Teresa M.
Yang, Peng
Wu, Min
Kwoh, Chee Keong
R. Daniel Camerini-Otero
Zheng, Jie
format Conference or Workshop Item
author Khil, Pavel P.
Przytycka, Teresa M.
Yang, Peng
Wu, Min
Kwoh, Chee Keong
R. Daniel Camerini-Otero
Zheng, Jie
author_sort Khil, Pavel P.
title Predicting DNA sequence motifs of recombination hotspots by integrative visualization and analysis
title_short Predicting DNA sequence motifs of recombination hotspots by integrative visualization and analysis
title_full Predicting DNA sequence motifs of recombination hotspots by integrative visualization and analysis
title_fullStr Predicting DNA sequence motifs of recombination hotspots by integrative visualization and analysis
title_full_unstemmed Predicting DNA sequence motifs of recombination hotspots by integrative visualization and analysis
title_sort predicting dna sequence motifs of recombination hotspots by integrative visualization and analysis
publishDate 2013
url https://hdl.handle.net/10356/83920
http://hdl.handle.net/10220/18173
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