iRO-3wPseKNC: identify DNA replication origins by three-window-based PseKNC | Zendy

Bin Liu | Zendy; Fan Weng | Zendy; De-Shuang Huang | Zendy; KuoChen Chou | Zendy

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iRO-3wPseKNC: identify DNA replication origins by three-window-based PseKNC

Author(s) -

Bin Liu,

Fan Weng,

De-Shuang Huang,

KuoChen Chou

Publication year - 2018

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/bty312

Subject(s) - origin of replication , schizosaccharomyces pombe , replication (statistics) , biology , dna replication , computational biology , computer science , yeast , genetics , saccharomyces cerevisiae , dna , virology

DNA replication is the key of the genetic information transmission, and it is initiated from the replication origins. Identifying the replication origins is crucial for understanding the mechanism of DNA replication. Although several discriminative computational predictors were proposed to identify DNA replication origins of yeast species, they could only be used to identify very tiny parts (250 or 300 bp) of the replication origins. Besides, none of the existing predictors could successfully capture the 'GC asymmetry bias' of yeast species reported by experimental observations. Hence it would not be surprising why their power is so limited. To grasp the CG asymmetry feature and make the prediction able to cover the entire replication regions of yeast species, we develop a new predictor called 'iRO-3wPseKNC'.

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