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

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
其他作者: School of Computer Engineering
格式: Conference or Workshop Item
語言:English
出版: 2013
主題:
DRNTU::Engineering::Computer science and engineering::Software
在線閱讀:https://hdl.handle.net/10356/83920
http://hdl.handle.net/10220/18173
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總結: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.

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