Dr. Smarajit Das

Assistant Professor

Department of Biotechnology

Dr. Smarajit Das


Department of Biotechnology
Haringhata, Nadia, WB

Research Area: Bioinformatics
Computational Biology
Big Data Analysis
System Biology

About Dr. Smarajit Das

Academic Qualifications

● Ph.D. (Bio-Informatics): Jadavpur University, India, 2010
Thesis title: Computational RNomics of non-coding RNAs: prediction of genes, functions and evolutionary implications.

● M.Tech: Calcutta University, India,
● M.S : Rajabazar Science College, University of Calcutta, India,
● B.S : Scottish Church College, University of Calcutta, India,
Research Publications:

PostDoc Publication:
1. Das S, Das P, Mitra S, Dasgupta M, Chakrabarti J and Larson E: . RNA and Transcription (2015) 1(3):18-33.
2. Mitra S, Das P, Samadder A, Das S, Dasgupta M, Chakrabarti J. Decrypting ENCODEd epigenetic marks of human tRN-A-RS genes in normal, stem and cancer cell lines. J Biomol Struct Dyn.2016. In Press
3. Mitra S, Das P, Samadder A, Das S, Betai R, Chakrabarti J. Eukaryotic tRNAs fingerprint invertebrates vis a vis vertebrates. J Biomol Struct Dyn.2015, 33(10): 2104-2120. [Impact Factor: 4.986]
4. Mitra S, Samadder A, Das P, Das S, Chakrabarti J. Eukaryotic tRNA paradox J Biomol Struct Dyn.2015, 33(12): 2721-37 [Impact Factor: 4.986]
5. Das S, Mitra S, Chakrabarti J. Oral Cancer-A system biology approach for biomarker detection. Cancer Biomarkers, 2013, 13 (4): 201-213 [Impact Factor: .972]
6. Mitra S, Mukerjee N, Das S, , Das P, Panda CK, Chakrabarti J. Anomalous altered expressions of downstream gene-targets in TP53-miRNA pathways in head and neck cancer. 2014 Scientific Reports 4: 6280-6288 [Impact Factor: 5.728]
7. Das S, Mitra S, Sahoo S and Chakrabarti J. Viral/Plasmid Captures in Crenarchaea J Biomol Struct Dyn.2013, 32(4): 546-554. [Impact Factor: 4.986]
8. Mitra S, Das S, Das S, Ghosal S and Chakrabarti J. HNOCDB: A Comprehensive: Database of genes and miRNAs relevant to Head and Neck and Oral Cancer. Oral Oncology. Jan 2012, 48: 117-119 [Impact Factor: 3.172]
9. Mitra S, Das S, Sahoo S, Sinha C and Chakrabarti J. Phylogeny derived from homodimeric endonuclease correlates with its pre-RNA substrates Advances in BioScience and Biotechnology, 2011,2(3):117-122. [Impact Factor: 1.778]
10. Das S, Mitra S, Sahoo S and Chakrabarti J. Novel Hybrid Encodes both Continuous and Split tRNA Genes? J Biomol Struct Dyn.2011, 28(5): 827-831. [Impact Factor: 4.986]
11. Das S, Mitra S and Chakrabarti J: Multiply Expressed tRNA Genes? J Biomol Struct Dyn. 2010, 28 (2): 239-246. [Impact Factor: 4.986]

PhD Publication:

12. Das S, Mukerjee R, Sahoo S, Thakkar R and Chakrabarti J: Structural clones of UAG decoding RNA. J Biomol Struct Dyn. 2009, 27: 381-390. [Impact Factor: 4.986]
13. Ghosh Z, Chakrabarti J, Mallick B, Das S, Sahoo S and Sethi H S : tRNA-isoleucine-tryptophan composite gene. Biochem Biophys Res Commn 2006, 339: 37-40. [Impact Factor: 2.595]
14. Das S, Chakrabarti J, Sahoo S, Ghosh Z and Mallick B : A new measure to study phylogenetic relations in the brown algal order Ectocarpales: “The codon impact parameter”. Journal of Biosciences 2005, 30(5): 101-111. [Impact Factor: 1.960]
15. Mallick B, Chakrabarti J, Sahoo S, Ghosh Z and Das S: Identity Elements of Archaeal tRNA. DNA Research 2005, 12(4): 235-246. [Impact Factor: 5.164]
16. Mallick B, Chakrabarti J, Das S and Ghosh Z: tRNomics : A comparative analysis of Picrophilus torridus with other archaeal thermoacidophiles. Indian Journal of Biochemistry and Biophysics 2005, 42: 238-242. [Impact Factor: 1.142]
17. Chakrabarti J, Sahoo S, Mallick B, Das S and  Ghosh Z: Algorithm for pattern recognition in nano-sized archaea. Indian J. Phys. (2005) 79(6): 559-562. [Impact Factor: 0.226
Broad Research Interests: Bioinformatics / Computational Biology/ Big Data Analysis,/ System Biology

● Next-Generation Sequence (NGS) analysis for Human Genome Model
● RNA Bioinformatics for None coding RNA: tRNA, miRNA and LncRNA
● RNA Seq data analysis to search novel biomarker for cancers.
● Chip-Seq analysis for analyzing the role of Histone modification in human genome associated with different diseases.Epigenetics
● Microarray analysis.
● Metagenomics: Miseq Data analysis