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Tanmaya Kumar Sahu
Person information
- affiliation: Indian Agricultural Statistics Research Institute, New Delhi, India
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2020 – today
- 2022
- [j7]Tanmaya Kumar Sahu, Prabina Kumar Meher, Nalini Kanta Choudhury, Atmakuri Ramakrishna Rao:
A comparative analysis of amino acid encoding schemes for the prediction of flexible length linear B-cell epitopes. Briefings Bioinform. 23(5) (2022) - [j6]Tanmaya Kumar Sahu, Amit Kumar Singh, Shikha Mittal, Shailendra Kumar Jha, Sundeep Kumar, Sherry Rachel Jacob, Kuldeep Singh:
G-DIRT: a web server for identification and removal of duplicate germplasms based on identity-by-state analysis using single nucleotide polymorphism genotyping data. Briefings Bioinform. 23(5) (2022)
2010 – 2019
- 2017
- [j5]Prabina Kumar Meher, Tanmaya Kumar Sahu, Anjali Banchariya, Atmakuri Ramakrishna Rao:
DIRProt: a computational approach for discriminating insecticide resistant proteins from non-resistant proteins. BMC Bioinform. 18(1): 190:1-190:14 (2017) - 2016
- [j4]Prabina Kumar Meher, Tanmaya Kumar Sahu, Atmakuri Ramakrishna Rao, Sant Wahi:
Identification of donor splice sites using support vector machine: a computational approach based on positional, compositional and dependency features. Algorithms Mol. Biol. 11: 16 (2016) - [j3]Prabina Kumar Meher, Tanmaya Kumar Sahu, Atmakuri Ramakrishna Rao:
Prediction of donor splice sites using random forest with a new sequence encoding approach. BioData Min. 9: 4 (2016) - [j2]Prabina Kumar Meher, Tanmaya Kumar Sahu, Atmakuri Ramakrishna Rao, Sant Wahi:
Discriminating coding from non-coding regions based on codon structure and methylation-mediated substitution: An application in rice and cattle. Comput. Electron. Agric. 129: 66-73 (2016) - 2014
- [j1]Prabina Kumar Meher, Tanmaya Kumar Sahu, Atmakuri Ramakrishna Rao, Sant Wahi:
A statistical approach for 5′ splice site prediction using short sequence motifs and without encoding sequence data. BMC Bioinform. 15: 362 (2014)
Coauthor Index
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