Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/83920
Title: Predicting DNA sequence motifs of recombination hotspots by integrative visualization and analysis
Authors: Khil, Pavel P.
Przytycka, Teresa M.
Yang, Peng
Wu, Min
Kwoh, Chee Keong
R. Daniel Camerini-Otero
Zheng, Jie
Keywords: DRNTU::Engineering::Computer science and engineering::Software
Issue Date: 2012
Source: 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.
metadata.dc.contributor.conference: International Symposium on Integrative Bioinformatics (2012 : Hangzhou, China)
Abstract: 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.
URI: https://hdl.handle.net/10356/83920
http://hdl.handle.net/10220/18173
Schools: School of Computer Engineering 
Rights: LDsplit is an open source Java program.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Conference Papers

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LDsplit_manual.pdfUser Manual of LDsplit830.48 kBAdobe PDFThumbnail
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