iRSpot-EL: identify recombination spots with an ensemble learning approach | Zendy

Bin Liu | Zendy; Shanyi Wang | Zendy; Long Ren | Zendy; KuoChen Chou | Zendy

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iRSpot-EL: identify recombination spots with an ensemble learning approach

Author(s) -

Bin Liu,

Shanyi Wang,

Long Ren,

KuoChen Chou

Publication year - 2016

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btw539

Subject(s) - computer science , genome , cluster analysis , benchmark (surveying) , recombination , homologous recombination , genome browser , data mining , genomics , computational biology , machine learning , biology , genetics , dna , gene , geodesy , geography

Coexisting in a DNA system, meiosis and recombination are two indispensible aspects for cell reproduction and growth. With the avalanche of genome sequences emerging in the post-genomic age, it is an urgent challenge to acquire the information of DNA recombination spots because it can timely provide very useful insights into the mechanism of meiotic recombination and the process of genome evolution.

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