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...
Saved in:
Main Authors: | , , , , , , |
---|---|
Other Authors: | |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/83920 http://hdl.handle.net/10220/18173 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-83920 |
---|---|
record_format |
dspace |
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 |
_version_ |
1681056513666318336 |