Name Mr. Ranjan Kumar Barman
Educational Qualification B.Tech(CSE), M.Tech(CSE)
Designation Research Assistant
Division Biomedical Informatics Centre
E-mail ranjan@bicniced.org
Research Interest Proteomics, System Biology
Date of joining ICMR 18th March, 2013  
 

Educational qualifications

  • M.Tech, Department of Computer Science and Engineering, University of Kalyani, Kalyani, West Bengal, India, 2011.

  • B.Tech, Department of Computer Science and Engineering,Government College of Engineering and Ceramic Technolgy, West Bengal University of Technology, Kolkata, West Bengal, India, 2009.

Publications

  • Ranjan Kumar Barman, Anirban Mukhopadhyay, Santasabuj Das. 2017. An improved method for identification of small non-coding RNAs in bacteria using support vector machine. Scientific Reports PubMed Link

  • Ranjan Kumar Barman, Tanmoy Jana, Santasabuj Das, Sudipto Saha. 2015. Prediction of intra-species protein-protein interactions in enteropathogens facilitating systems biology study. PLoS One. PubMed Link

  • Ranjan Kumar Barman, Sudipto Saha, Santasabuj Das. 2014. Prediction of interactions between viral and host proteins using supervised machine learning methods. PLoS One. PubMed Link

  • Paltu Kumar Dhal, Ranjan Kumar Barman, Sudipto Saha, Santasabuj Das. 2014. Dynamic modularity of host protein interaction networks in Salmonella Typhi infection. PLoS One. PubMed Link

  • Ranjan Kumar Barman, Anirban Mukhopadhyay. 2011. Computational Prediction of Protein-Protein interaction based on domain information. Published as a book by LAP LAMBERT Academic Publishing Co,Germany. Link

Source Code, help file and best SVM model

The source code, help file and proposed best SVM model for "An Improved identification of small non-coding RNAs in bacteria using support vector machine" are given below. Please download if you want to predict sRNAs from complete genome of your bacteria of interest. The step by step instruction is available at HelpForPredictingsRNAsByBarmanetal.pdf

HelpForPredictingsRNAsByBarmanetal.pdfdownload
HelpForParsingCDS.pdfdownload
SourceCodes.zipdownload