Predicting DNA Sequence Motifs of Recombination Hotspots by Integrative Visualization and Analysis

摘要：

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 subpopulations with different alleles of a candidate SNP. Providing user-friendly graphic interface and integrative visualization, LDsplit provides insight into the relation of recombination hotspots with proximal DNA sequence patterns.

作者: Peng Yang Min Wu Chee Keong Kwoh Pavel P. Khil R. Daniel Camerini-Otero Teresa M. Przytycka Jie Zheng

作者单位: Bioinformatics Research Centre (BIRC), School of Computer Engineering, Nanyang Technological Univers NIDDK, National Institutes of Health, 5 Memorial Drive, Bethesda, Maryland 20892, USA NCBI, NLM, National Institutes of Health, 8600 Rockville Pike, Bethesda, Maryland 20894,USA

会议类型: 国际会议

会议名称: International Symposium on Integrative Bioinformatics the 8th Annual Meeting(2012年整合生物信息学国际会议暨第八届年度会议 IB 2012)

会议地点: 杭州

会议语种:英文

页码: 52-58

在线出版日期: 2012-04-02（万方平台首次上网日期，不代表论文的发表时间）