Prediction of recombination rate in the human genome

Author

Liu, Guoqing ; Liu, Jia

Author_Institution

Sch. of Math., Phys. & Biol. Eng., Inner Mongolia Univ. of Sci. & Technol., Baotou, China

fYear

2012

fDate

21-23 April 2012

Firstpage

1179

Lastpage

1182

Abstract

Meiotic recombination does not occur randomly across the genome. Recombination depends on the primary sequence of genome and chromatin structure. In this study, the correlation of recombination rate with GC content and dinucleotide abundance is explored, and then 1-Megabase scale recombination rate is predicted by using the method of diversity measure combined with quadratic discriminant analysis based on the mononucleotide and dinucleotide occurrences. The result shows that the total prediction accuracies are about 70% for both the regions of high recombination rates and those of low recombination rates.

Keywords

DNA; biochemistry; genomics; molecular biophysics; proteins; 1-megabase scale recombination rate; chromatin structure; dinucleotide abundance; dinucleotide occurrences; diversity measurement; genome structure; high recombination rates; human genome; low recombination rates; meiotic recombination; mononucleotide occurrences; primary sequence; quadratic discriminant analysis; recombination rate prediction; total prediction accuracies; Bioinformatics; Correlation; DNA; Genomics; Humans; Tin; Dinucleotide abundance; GC content; Recombination hotspot; Recombination rate;

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Electronics, Communications and Networks (CECNet), 2012 2nd International Conference on

Conference_Location

Yichang

Print_ISBN

978-1-4577-1414-6

Type

conf

DOI

10.1109/CECNet.2012.6201464

Filename

6201464