Debasis Dash

Dr. Debasis Dash

Dr. Debasis Dash is interested in developing computational tools and software for high-throughput biological data (NGS, Mass-spectrometry) analysis and using computational approaches for understanding protein function. His interests include:

  • Algorithms and software development for mass-spectrometry based proteomics and proteogenomics analysis

  • Comparative Genomics

  • Machine learning for proteins

  • Elucidating the role of intrinsic disorder in tuberculosis drug targets and the transcription network of yeast

  • Development of Polymorphism Markup Language

Dr. Debasis Dash has been involved in the development of different software tools for functional genomics and genome data mining. This includes software like PLHost for identification of invariant peptides as signatures of specific functional family and GeneDecipher for identification of protein coding genes in the genome. He is also part of an international effort for interoperability of biological data among various databases as well as in developing a genotype to phenotype database.


  • A computer based method for identifying peptides useful as drug targets.

    US, PCT: NF64/2000; Samir K. Brahmachari and Debasis Dash

  • A computer based method for predicting protein coding DNA sequences useful as drug targets.

    US, PCT: NF 421/03; S.K. Brahmachari, D. Dash, J.K Maheshwari and R. Sharma

Awards and Achievements

  • The CSIR Young Scientist Award for the year 2004 in Biological sciences for use of short peptide stretches to relate proteins in different genomes, which have similar function, and also for development of PLHOST software and associated databases

Selected Publications

  • Das Roy R, Dash D. Selection of relevant features from amino acids enables development of robust classifiers. Amino Acids. 2014 May;46(5):1343-51.

  • Faruq M, Narang A, Kumari R, Pandey R, Garg A, Behari M, Dash D, Srivastava A, Mukerji M. Novel mutations in typical and atypical genetic loci through exome sequencing in autosomal recessive cerebellar ataxia families. Clin Genet. 2013 Sep 16.

  • Kumar D, Yadav AK, Kadimi PK, Nagaraj SH, Grimmond SM, Dash D. Proteogenomic analysis of Bradyrhizobium japonicum USDA110 using GenoSuite, an automated multi-algorithmic pipeline. Mol Cell Proteomics. 2013 Nov;12(11):3388-97.

  • Kelkar DS, Kumar D, Kumar P, Balakrishnan L, Muthusamy B, Yadav AK, Shrivastava P, Marimuthu A, Anand S, Sundaram H, Kingsbury R, Harsha HC, Nair B, Prasad TS, Chauhan DS, Katoch K, Katoch VM, Kumar P, Chaerkady R, Ramachandran S, Dash D, Pandey A. Proteogenomic analysis of Mycobacterium tuberculosis by high resolution mass spectrometry. Mol Cell Proteomics. 2011 Dec;10(12):M111.011627.

  • Singh GP, Ganapathi M, Dash D. Role of intrinsic disorder in transient interactions of hub proteins. Proteins. 2007 Mar 1;66(4):761-5.


Debasis Dash

Contact Information
Room No. 301,
CSIR-IGIB,Sukhdev Vihar,
Mathura Road,
New Delhi – 110 020
Tel: 91-11-29879 301

Fax no
: +91 011 27667 471

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