HRGPred: Prediction of herbicide resistant genes with k-mer nucleotide compositional features and support vector machine-Reference-Cited by-同舟云学术

HRGPred: Prediction of herbicide resistant genes with k-mer nucleotide compositional features and support vector machine

Published:2019-01-28 Issue:1 Volume:9 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Meher Prabina Kumar^ORCID,Sahu Tanmaya Kumar^ORCID,Raghunandan K.,Gahoi Shachi^ORCID,Choudhury Nalini Kanta,Rao Atmakuri Ramakrishna^ORCID

Funder

This study was supported by the grants ICAR-Consortia Research Platform on Genomics (CRP-Genomics/IX/2017) received from Indian Council of Agricultural Research (ICAR), New Delhi.

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://www.nature.com/articles/s41598-018-37309-9.pdf

Reference102 articles.

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