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Dr. Debasis Dash


Degree University/Institution
Ph.D.University of Delhi
M.Sc.University of Delhi

Work Experience

Position University/Organisation Period
DirectorDBT-ILS, BhubaneswarJune 2023 - Till Date
Scientist-G, Chief ScientistCSIR-IGIBDecember 2016 - June 2023
Scientist-F, Senior Principal ScientistCSIR-IGIBDecember 2011 - December 2016
Scientist EIICSIR-IGIBDecember 2007 - December 2011
Scientist E1IGIBDecember 2004 - December 2007
Scientist CIGIB December 2001 - December 2004
Scientist FellowIGIB (Formerly CBT)May 2000 - December 2001

Awards & Recognition

  • Indo-US Science & Technology Fellowship IUSSTF, 2010.
  • The CSIR Young Scientist Award CSIR, 2004.
  • Best Presentation Award for “GenoCluster” Bangalore Bio 2005, 2006.
  • DBT Bioscience Award for career development DBT, 2014.



Big Data and Artificial Intelligence: According to the Global Burden of Disease report, the number of people requiring radiological intervention is increasing in developing countries while being stable globally. This is leading to an increase in the already extreme disparity between the number of radiologists and patients. India has a radiologist to patient ratio of 1:100,000 compared to 1:10,000 in the US leading to great stress and workload on the radiologists leading to a delay in the reports. Therefore, we understand that there is a need to augment and supplement the radiologists’ workflow to improve the turnaround time. To attain this, we are building deep learning based models for condition type and subtype classification, segmentation and risk score triage which we have securely implemented as the RAPID-CT application. We hope to deploy our systems across hospitals throughout the country in a few years. We are also working on being able to explain model predictions in human understandable fashion and gain the ability to generalize on data from any source.

Proteomics & Proteogenomics: Realizing the need for development of peptide spectral matching (PSM) algorithm, we have developed MassWiz [JProt Res, 2011]. It is only PSM scorer from the country and has been recognized by MIT Technology Review (TR35 innovation from India, 2013) and have honored my student among young innovators whose inventions and research they find most exciting. We have developed a number of open source computational algorithms and associated software suites, MassWiz, FlexiFDR [PloS one, 2012] and ProteoStats [Bioinformatics, 2013] which enable low-cost, high accuracy proteomics data mining and analysis. I was invited as a visiting faculty to Johns Hopkins Medical Institute, USA in Indo-US S&T fellowship program. In proteogenomics, our work on, systematic analysis of proteomics data using multiple algorithms have resulted in discovery of 101 proteins in human plasma [PloS one, 2011], 41 gene products in M. tuberculosis [MCP, 2011], 59 proteins in agriculturally important symbiont B. Japonicum [MCP, 2013], 28 proteins in human pathogen S. flexinery, most importantly, 28 proteoforms in human missing proteome [J Prot Res, 2015] and 27 splice variants & 15 non-coding exons in Rattus norvegicus microglia [MCP, 2016]. Developed GenoSuite and EuGenosuite for high throughput proteomics data analysis. My student earned prestigious Australian Endeavour fellowship and paved the way to work in world famous Queensland Institute of Medical Research, Brisbane. This led to the identification of more than 170 toxin proteins in the box jellyfish, Chironex fleckeri, [BMC Genomics, 2015] the largest and most dangerous cubozoan jellyfish to humans through collaborative research. Findings from this work are highlighted by Christie Wilcox, in Science Sushi, June 2, 2015.

Genomics: I was one of the core members of the The Indian Genome Variation Consortium project that provided the first comprehensive genetic landscape of the Indian population. The consortium has generated data on genome wide neutral SNPs as well as informative SNPs from 1000 genes implicated in diseases and drug response in 55 diverse Indian populations and provides a framework for carrying out genetic studies of diseases prevalent in India ( This was one of the largest projects in genomics science in India and led to the capacity building in genomics in a number of collaborating institutes as well as global visibility (Nature Review Genetics 2008). I participated in identifying copy number variations as well as unique admixture events and signatures of selections using this variation data [Am J Hum Genet, 2011, Human Genet, 2012, Genome Biol Evol, 2014]. This data has also been used to identify predictive markers in high altitude adaptation, markers for susceptibility to infectious diseases, tracing human migrations and history of diseases as well as identifying founders for diseases. As consortia member, I have authored 37 publications many of which have been published in prestigious peer reviewed journals like Science, PNAS, PloS Genetics, Molecular Biology and Evolution etc. I have contributed actively to the global effort of development of Phenotype and Genotype Experiment Object Model(PaGE-OM for the interoperability of biological data among various databases (eg., dbSNP, jSNP, Alfred, HGVbase etc.) and HGVBaseG2P. I am the only Indian scientist in a team of 22 from Stanford University, Yale University, USA, DNA Data Bank of Japan, RIKEN, Tokyo Institute of Technology, Japan, Institute for Molecular Medicine Finland (FIMM), Finland, University College London (UCL), and University of Leicester, UK representing 9 countries who proposed PaGE-OM.



1. Gupta I, Shankrit S, Narta K, Ghazi M, Grover R, Pandey R, Kar HK, Menon SM, Gupta A, Yenamandra VK, Singh A, Mukerji M, Mukhopadhyay A, Rani R, Gokhale RS, Dash D, Natarajan VT. Whole-Exome Sequencing of Vitiligo Lesions Indicates Lower Burden of Somatic Variations: Implications in Risk for Nonmelanoma Skin Cancers. J Invest Dermatol. 2023 Jun;143(6):1111-1114.e8. doi: 10.1016/j.jid.2022.11.018. Epub 2022 Dec 17. PubMed PMID: 36535361.

2. Tavakkoli F, Damala M, Koduri MA, Gangadharan A, Rai AK, Dash D, Basu S, Singh V. Transcriptomic Profiling of Human Limbus-Derived Stromal/Mesenchymal Stem Cells-Novel Mechanistic Insights into the Pathways Involved in Corneal Wound Healing. Int J Mol Sci. 2022 Jul 26;23(15):8226. doi: 10.3390/ijms23158226. PubMed PMID: 35897793.

3. Bhaskar AK, Naushin S, Ray A, Singh P, Raj A, Pradhan S, Adlakha K, Siddiqua TJ, Malakar D, Dash D, Sengupta S. A High Throughput Lipidomics Method Using Scheduled Multiple Reaction Monitoring. Biomolecules. 2022 May 16;12(5):709. doi: 10.3390/biom12050709. PubMed PMID: 35625636.

4. Aggarwal S, Raj A, Kumar D, Dash D, Yadav AK. False discovery rate: the Achilles’ heel of proteogenomics. Brief Bioinform. 2022 Sep 20;23(5):bbac163. doi: 10.1093/bib/bbac163. PubMed PMID: 35534181.

5. Singh P, Ujjainiya R, Prakash S, Naushin S, Sardana V, Bhatheja N, Singh AP, Barman J, Kumar K, Gayali S, Khan R, Rawat BS, Tallapaka KB, Anumalla M, Lahiri A, Kar S, Bhosale V, Srivastava M, Mugale MN, Pandey CP, Khan S, Katiyar S, Raj D, Ishteyaque S, Khanka S, Rani A, Promila, Sharma J, Seth A, Dutta M, Saurabh N, Veerapandian M, Venkatachalam G, Bansal D, Gupta D, Halami PM, Peddha MS, Veeranna RP, Pal A, Singh RK, Anandasadagopan SK, Karuppanan P, Rahman SN, Selvakumar G, Venkatesan S, Karmakar MK, Sardana HK, Kothari A, Parihar DS, Thakur A, Saifi A, Gupta N, Singh Y, Reddu R, Gautam R, Mishra A, Mishra A, Gogeri I, Rayasam G, Padwad Y, Patial V, Hallan V, Singh D, Tirpude N, Chakrabarti P, Maity SK, Ganguly D, Sistla R, Balthu NK, A KK, Ranjith S, Kumar BV, Jamwal PS, Wali A, Ahmed S, Chouhan R, Gandhi SG, Sharma N, Rai G, Irshad F, Jamwal VL, Paddar MA, Khan SU, Malik F, Ghosh D, Thakkar G, Barik SK, Tripathi P, Satija YK, Mohanty S, Khan MT, Subudhi U, Sen P, Kumar R, Bhardwaj A, Gupta P, Sharma D, Tuli A, Ray Chaudhuri S, Krishnamurthi S, et al. A machine learning-based approach to determine infection status in recipients of BBV152 (Covaxin) whole-virion inactivated SARS-CoV-2 vaccine for serological surveys. Comput Biol Med. 2022 Jul;146:105419. doi: 10.1016/j.compbiomed.2022.105419. Epub 2022 Apr 25. PubMed PMID: 35483225.

6. Ujjainiya R, Tyagi A, Sardana V, Naushin S, Bhatheja N, Kumar K, Barman J, Prakash S, Kutum R, Bhaskar AK, Singh P, Chaudhary K, Loomba M, Khanna Y, Walecha C, Ahmed R, Yadav A, Bajaj A, Malik G, Qureshi S, Waghdhare S, Siddiqui S, Trehan KK, Mani M, Dang R, Das P, Dougall P, Mahajan M, Sonar S, Jakhar K, Kumar R, Tiwari M, Mani S, Bhattacharyya S, Budhiraja S, Agrawal A, Dash D, Jha S, Sengupta S. High failure rate of ChAdOx1-nCoV19 immunization against asymptomatic infection in healthcare workers during a Delta variant surge. Nat Commun. 2022 Apr 1;13(1):1726. doi: 10.1038/s41467-022-29404-3. PubMed PMID: 35365648.

7. Abbas T, Chaturvedi G, Prakrithi P, Pathak AK, Kutum R, Dakle P, Narang A, Manchanda V, Patil R, Aggarwal D, Girase B, Srivastava A, Kapoor M, Gupta I, Pandey R, Juvekar S, Dash D, Mukerji M, Prasher B. Whole Exome Sequencing in Healthy Individuals of Extreme Constitution Types Reveals Differential Disease Risk: A Novel Approach towards Predictive Medicine. J Pers Med. 2022 Mar 18;12(3):489. doi: 10.3390/jpm12030489. PubMed PMID: 35330488.

8. Jain A, Bhoyar RC, Pandhare K, Mishra A, Sharma D, Imran M, Senthivel V, Divakar MK, Rophina M, Jolly B, Batra A, Sharma S, Siwach S, Jadhao AG, Palande NV, Jha GN, Ashrafi N, Mishra PK, A K V, Jain S, Dash D, Kumar NS, Vanlallawma A, Sarma RJ, Chhakchhuak L, Kalyanaraman S, Mahadevan R, Kandasamy S, B M P, Rajagopal RE, Ramya J E, Devi P N, Bajaj A, Gupta V, Mathew S, Goswami S, Mangla M, Prakash S, Joshi K, Meyakumla, S S, Gajjar D, Soraisham R, Yadav R, Devi YS, Gupta A, Mukerji M, Ramalingam S, B K B, Scaria V, Sivasubbu S. Genetic epidemiology of autoinflammatory disease variants in Indian population from 1029 whole genomes. J Genet Eng Biotechnol. 2021 Dec 14;19(1):183. doi: 10.1186/s43141-021-00268-2. PubMed PMID: 34905135.

9. Gidde PS, Prasad SS, Singh AP, Bhatheja N, Prakash S, Singh P, Saboo A, Takhar R, Gupta S, Saurav S, M V R, Singh A, Sardana V, Mahajan H, Kalyanpur A, Mandal AS, Mahajan V, Agrawal A, Agrawal A, Venugopal VK, Singh S, Dash D. Validation of expert system enhanced deep learning algorithm for automated screening for COVID-Pneumonia on chest X-rays. Sci Rep. 2021 Dec 1;11(1):23210. doi: 10.1038/s41598-021-02003-w. PubMed PMID: 34853342.

10. Dhar MS, Marwal R, Vs R, Ponnusamy K, Jolly B, Bhoyar RC, Sardana V, Naushin S, Rophina M, Mellan TA, Mishra S, Whittaker C, Fatihi S, Datta M, Singh P, Sharma U, Ujjainiya R, Bhatheja N, Divakar MK, Singh MK, Imran M, Senthivel V, Maurya R, Jha N, Mehta P, A V, Sharma P, Vr A, Chaudhary U, Soni N, Thukral L, Flaxman S, Bhatt S, Pandey R, Dash D, Faruq M, Lall H, Gogia H, Madan P, Kulkarni S, Chauhan H, Sengupta S, Kabra S; Indian SARS-CoV-2 Genomics Consortium (INSACOG)‡; Gupta RK, Singh SK, Agrawal A, Rakshit P, Nandicoori V, Tallapaka KB, Sowpati DT, Thangaraj K, Bashyam MD, Dalal A, Sivasubbu S, Scaria V, Parida A, Raghav SK, Prasad P, Sarin A, Mayor S, Ramakrishnan U, Palakodeti D, Seshasayee ASN, Bhat M, Shouche Y, Pillai A, Dikid T, Das S, Maitra A, Chinnaswamy S, Biswas NK, Desai AS, Pattabiraman C, Manjunatha MV, Mani RS, Arunachal Udupi G, Abraham P, Atul PV, Cherian SS. Genomic characterization and epidemiology of an emerging SARS-CoV-2 variant in Delhi, India. Science. 2021 Nov 19;374(6570):995-999. doi: 10.1126/science.abj9932. Epub 2021 Oct 14. PubMed PMID: 34648303.

11. Dasgupta A, Chakraborty R, Saha B, Suri H, Singh P, Raj A, Taneja B, Dash D, Sengupta S, Agrawal A. Sputum Protein Biomarkers in Airway Diseases: A Pilot Study. Int J Chron Obstruct Pulmon Dis. 2021 Jul 28;16:2203-2215. doi: 10.2147/COPD.S306035. eCollection 2021. PubMed PMID: 34349506.

12. Sahana S, Sivadas A, Mangla M, Jain A, Bhoyar RC, Pandhare K, Mishra A, Sharma D, Imran M, Senthivel V, Divakar MK, Rophina M, Jolly B, Batra A, Sharma S, Siwach S, Jadhao AG, Palande NV, Jha GN, Ashrafi N, Mishra PK, Vidhya AK, Jain S, Dash D, Kumar NS, Vanlallawma A, Sarma RJ, Chhakchhuak L, Kalyanaraman S, Mahadevan R, Kandasamy S, Devi P, Rajagopal RE, Ramya JE, Devi PN, Bajaj A, Gupta V, Mathew S, Goswami S, Prakash S, Joshi K, Kumla M, Sreedevi S, Gajjar D, Soraisham R, Yadav R, Devi YS, Gupta A, Mukerji M, Ramalingam S, Binukumar BK, Sivasubbu S, Scaria V. Pharmacogenomic landscape of COVID-19 therapies from Indian population genomes. Pharmacogenomics. 2021 Jul;22(10):603-618. doi: 10.2217/pgs-2021-0028. Epub 2021 Jun 18. PubMed PMID: 34142560.

13. Naushin S, Sardana V, Ujjainiya R, Bhatheja N, Kutum R, Bhaskar AK, Pradhan S, Prakash S, Khan R, Rawat BS, Tallapaka KB, Anumalla M, Chandak GR, Lahiri A, Kar S, Mulay SR, Mugale MN, Srivastava M, Khan S, Srivastava A, Tomar B, Veerapandian M, Venkatachalam G, Vijayakumar SR, Agarwal A, Gupta D, Halami PM, Peddha MS, Sundaram GM, Veeranna RP, Pal A, Agarwal VK, Maurya AK, Singh RK, Raman AK, Anandasadagopan SK, Karuppanan P, Venkatesan S, Sardana HK, Kothari A, Jain R, Thakur A, Parihar DS, Saifi A, Kaur J, Kumar V, Mishra A, Gogeri I, Rayasam G, Singh P, Chakraborty R, Chaturvedi G, Karunakar P, Yadav R, Singhmar S, Singh D, Sarkar S, Bhattacharya P, Acharya S, Singh V, Verma S, Soni D, Seth S, Vashisht S, Thakran S, Fatima F, Singh AP, Sharma A, Sharma B, Subramanian M, Padwad YS, Hallan V, Patial V, Singh D, Tripude NV, Chakrabarti P, Maity SK, Ganguly D, Sarkar J, Ramakrishna S, Kumar BN, Kumar KA, Gandhi SG, Jamwal PS, Chouhan R, Jamwal VL, Kapoor N, Ghosh D, Thakkar G, Subudhi U, Sen P, Chaudhury SR, Kumar R, Gupta P, Tuli A, Sharma D, Ringe RP, D A, Kulkarni M, Shanmugam D, et al. Insights from a Pan India Sero-Epidemiological survey (Phenome-India Cohort) for SARS-CoV2. Elife. 2021 Apr 20;10:e66537. doi: 10.7554/eLife.66537. PubMed PMID: 33876727.

14. Singh A, Gaur M, Sharma V, Khanna P, Bothra A, Bhaduri A, Mondal AK, Dash D, Singh Y, Misra R. Comparative Genomic Analysis of Mycobacteriaceae Reveals Horizontal Gene Transfer-Mediated Evolution of the CRISPR-Cas System in the Mycobacterium tuberculosis Complex. mSystems. 2021 Jan 19;6(1):e00934-20. doi: 10.1128/mSystems.00934-20. PubMed PMID: 33468705.

15. Talwar S, Pandey M, Sharma C, Kutum R, Lum J, Carbajo D, Goel R, Poidinger M, Dash D, Singhal A, Pandey AK. Role of VapBC12 Toxin-Antitoxin Locus in Cholesterol-Induced Mycobacterial Persistence. mSystems. 2020 Dec 15;5(6):e00855-20. doi: 10.1128/mSystems.00855-20. PubMed PMID: 33323416.

16. Singh P, Chakraborty R, Marwal R, Radhakrishan VS, Bhaskar AK, Vashisht H, Dhar MS, Pradhan S, Ranjan G, Imran M, Raj A, Sharma U, Singh P, Lall H, Dutta M, Garg P, Ray A, Dash D, Sivasubbu S, Gogia H, Madan P, Kabra S, Singh SK, Agrawal A, Rakshit P, Kumar P, Sengupta S. A rapid and sensitive method to detect SARS-CoV-2 virus using targeted-mass spectrometry. J Proteins Proteom. 2020;11(3):159-165. doi: 10.1007/s42485-020-00044-9. Epub 2020 Aug 31. PubMed PMID: 33132628.

17. Jain A, Bhoyar RC, Pandhare K, Mishra A, Sharma D, Imran M, Senthivel V, Divakar MK, Rophina M, Jolly B, Batra A, Sharma S, Siwach S, Jadhao AG, Palande NV, Jha GN, Ashrafi N, Mishra PK, A K V, Jain S, Dash D, Kumar NS, Vanlallawma A, Sarma RJ, Chhakchhuak L, Kalyanaraman S, Mahadevan R, Kandasamy S, B M P, Rajagopal RE, J ER, P ND, Bajaj A, Gupta V, Mathew S, Goswami S, Mangla M, Prakash S, Joshi K, S S, Gajjar D, Soraisham R, Yadav R, Devi YS, Gupta A, Mukerji M, Ramalingam S, B K B, Scaria V, Sivasubbu S. IndiGenomes: a comprehensive resource of genetic variants from over 1000 Indian genomes. Nucleic Acids Res. 2021 Jan 8;49(D1):D1225-D1232. doi: 10.1093/nar/gkaa923. PubMed PMID: 33095885.

18. Kumar P, Pandey R, Sharma P, Dhar MS, A V, Uppili B, Vashisht H, Wadhwa S, Tyagi N, Fatihi S, Sharma U, Singh P, Lall H, Datta M, Gupta P, Saini N, Tewari A, Nandi B, Kumar D, Bag S, Gahlot D, Rathore S, Jatana N, Jaiswal V, Gogia H, Madan P, Singh S, Singh P, Dash D, Bala M, Kabra S, Singh S, Mukerji M, Thukral L, Faruq M, Agrawal A, Rakshit P. Integrated genomic view of SARS-CoV-2 in India. Wellcome Open Res. 2020 Aug 3;5:184. doi: 10.12688/wellcomeopenres.16119.1. eCollection 2020. PubMed PMID: 32995557.

19. Gupta I, Narang A, Singh P, Manchanda V, Khanna S; Indian Genome Variation Consortium; Mukerji M, Natarajan VT, Dash D. VitiVar: A locus specific database of vitiligo associated genes and variations. Gene X. 2019 May 11;3:100018. doi: 10.1016/j.gene.2019.100018. eCollection 2019 Sep. PubMed PMID: 32550548.

20. Rawat C, Kutum R, Kukal S, Srivastava A, Dahiya UR, Kushwaha S, Sharma S, Dash D, Saso L, Srivastava AK, Kukreti R. Downregulation of peripheral PTGS2/COX-2 in response to valproate treatment in patients with epilepsy. Sci Rep. 2020 Feb 13;10(1):2546. doi: 10.1038/s41598-020-59259-x. PubMed PMID: 32054883.

21. Mehani B, Narta K, Paul D, Raj A, Kumar D, Sharma A, Kaurani L, Nayak S, Dash D, Suri A, Sarkar C, Mukhopadhyay A. Fusion transcripts in normal human cortex increase with age and show distinct genomic features for single cells and tissues. Sci Rep. 2020 Jan 28;10(1):1368. doi: 10.1038/s41598-020-58165-6. PubMed PMID: 31992760.

22. Konhar R, Debnath M, Vishwakarma S, Bhattacharjee A, Sundar D, Tandon P, Dash D, Biswal DK. The complete chloroplast genome of Dendrobium nobile, an endangered medicinal orchid from north-east India and its comparison with related Dendrobium species. PeerJ. 2019 Nov 1;7:e7756. doi: 10.7717/peerj.7756. eCollection 2019. PubMed PMID: 31695964.

23. Mukherjee AK, Sharma S, Bagri S, Kutum R, Kumar P, Hussain A, Singh P, Saha D, Kar A, Dash D, Chowdhury S. Telomere repeat-binding factor 2 binds extensively to extra-telomeric G-quadruplexes and regulates the epigenetic status of several gene promoters. J Biol Chem. 2019 Nov 22;294(47):17709-17722. doi: 10.1074/jbc.RA119.008687. Epub 2019 Oct 1. PubMed PMID: 31575660.

24. Ghose S, Ghosh S, Tanwar VS, Tolani P, Kutum R, Sharma A, Bhardwaj N, Shamsudheen KV, Verma A, Jayarajan R, Dash D, Sivasubbu S, Scaria V, Seth S, Sengupta S. Investigating Coronary Artery Disease methylome through targeted bisulfite sequencing. Gene. 2019 Dec 30;721:144107. doi: 10.1016/j.gene.2019.144107. Epub 2019 Sep 6. PubMed PMID: 31499127.

25. Ghosh A, Gangadharan A, Verma M, Das S, Matai L, Dash DP, Dash D, Mapa K, Chakraborty K. Cellular responses to proteostasis perturbations reveal non-optimal feedback in chaperone networks. Cell Mol Life Sci. 2019 Apr;76(8):1605-1621. doi: 10.1007/s00018-019-03013-8. Epub 2019 Jan 25. PubMed PMID: 30683983.

26. Menon D, Singh K, Pinto SM, Nandy A, Jaisinghani N, Kutum R, Dash D, Prasad TSK, Gandotra S. Quantitative Lipid Droplet Proteomics Reveals Mycobacterium tuberculosis Induced Alterations in Macrophage Response to Infection. ACS Infect Dis. 2019 Apr 12;5(4):559-569. doi: 10.1021/acsinfecdis.8b00301. Epub 2019 Feb 4. PubMed PMID: 30663302.

27. Gupta I, Narang A, Singh P, Manchanda V, Khanna S; Indian Genome Variation Consortium; Mukerji M, Natarajan VT, Dash D. VitiVar: A locus specific database of vitiligo associated genes and variations. Gene. 2019;721S:100018. doi: 10.1016/j.gene.2019.100018. Epub 2019 May 11. PubMed PMID: 34530999.

28. Nandy A, Mondal AK, Pandey R, Arumugam P, Dawa S, Jaisinghani N, Rao V, Dash D, Gandotra S. Adipocyte Model of Mycobacterium tuberculosis Infection Reveals Differential Availability of Iron to Bacilli in the Lipid-Rich Caseous Environment. Infect Immun. 2018 May 22;86(6):e00041-18. doi: 10.1128/IAI.00041-18. Print 2018 Jun. PubMed PMID: 29632245.

29. Chauhan NS, Pandey R, Mondal AK, Gupta S, Verma MK, Jain S, Ahmed V, Patil R, Agarwal D, Girase B, Shrivastava A, Mobeen F, Sharma V, Srivastava TP, Juvekar SK, Prasher B, Mukerji M, Dash D. Western Indian Rural Gut Microbial Diversity in Extreme Prakriti Endo-Phenotypes Reveals Signature Microbes. Front Microbiol. 2018 Feb 13;9:118. doi: 10.3389/fmicb.2018.00118. eCollection 2018. PubMed PMID: 29487572.

30. Tiwari P, Kutum R, Sethi T, Shrivastava A, Girase B, Aggarwal S, Patil R, Agarwal D, Gautam P, Agrawal A, Dash D, Ghosh S, Juvekar S, Mukerji M, Prasher B. Recapitulation of Ayurveda constitution types by machine learning of phenotypic traits. PLoS One. 2017 Oct 5;12(10):e0185380. doi: 10.1371/journal.pone.0185380. eCollection 2017. PubMed PMID: 28981546.

31. Kaur D, Kutum R, Dash D, Brahmachari SK. Erratum: Data Intensive Genome Level Analysis for Identifying Novel, Non-Toxic Drug Targets for Multi Drug Resistant Mycobacterium tuberculosis. Sci Rep. 2017 Jul 7;7:46825. doi: 10.1038/srep46825. PubMed PMID: 28684876.

32. Kumar Mondal A, Kumar J, Pandey R, Gupta S, Kumar M, Bansal G, Mukerji M, Dash D, Singh Chauhan N. Comparative Genomics of Host-Symbiont and Free-Living Oceanobacillus Species. Genome Biol Evol. 2017 May 1;9(5):1175-1182. doi: 10.1093/gbe/evx076. PubMed PMID: 28460092.

33. Kaur D, Kutum R, Dash D, Brahmachari SK. Data Intensive Genome Level Analysis for Identifying Novel, Non-Toxic Drug Targets for Multi Drug Resistant Mycobacterium tuberculosis. Sci Rep. 2017 Apr 20;7:46595. doi: 10.1038/srep46595. PubMed PMID: 28425478.

34. Kumar D, Yadav AK, Dash D. Choosing an Optimal Database for Protein Identification from Tandem Mass Spectrometry Data. Methods Mol Biol. 2017;1549:17-29. doi: 10.1007/978-1-4939-6740-7_3. PubMed PMID: 27975281.

35. Kumar D, Dash D. Proteogenomic Tools and Approaches to Explore Protein Coding Landscapes of Eukaryotic Genomes. Adv Exp Med Biol. 2016;926:1-10. doi: 10.1007/978-3-319-42316-6_1. PubMed PMID: 27686802.

36. Prasher B, Varma B, Kumar A, Khuntia BK, Pandey R, Narang A, Tiwari P, Kutum R, Guin D, Kukreti R, Dash D; TRISUTRA Ayurgenomics Consortium; Mukerji M. Ayurgenomics for stratified medicine: TRISUTRA consortium initiative across ethnically and geographically diverse Indian populations. J Ethnopharmacol. 2017 Feb 2;197:274-293. doi: 10.1016/j.jep.2016.07.063. Epub 2016 Jul 22. PubMed PMID: 27457695.

37. Kumar D, Bansal G, Narang A, Basak T, Abbas T, Dash D. Integrating transcriptome and proteome profiling: Strategies and applications. Proteomics. 2016 Oct;16(19):2533-2544. doi: 10.1002/pmic.201600140. Epub 2016 Aug 25. PubMed PMID: 27343053.

38. Kumar D, Mondal AK, Kutum R, Dash D. Proteogenomics of rare taxonomic phyla: A prospective treasure trove of protein coding genes. Proteomics. 2016 Jan;16(2):226-40. doi: 10.1002/pmic.201500263. Epub 2015 Nov 23. PubMed PMID: 26773550.

39. Anand A, Verma P, Singh AK, Kaushik S, Pandey R, Shi C, Kaur H, Chawla M, Elechalawar CK, Kumar D, Yang Y, Bhavesh NS, Banerjee R, Dash D, Singh A, Natarajan VT, Ojha AK, Aldrich CC, Gokhale RS. Polyketide Quinones Are Alternate Intermediate Electron Carriers during Mycobacterial Respiration in Oxygen-Deficient Niches. Mol Cell. 2015 Nov 19;60(4):637-50. doi: 10.1016/j.molcel.2015.10.016. Epub 2015 Nov 12. PubMed PMID: 26585386.

40. Kumar D, Yadav AK, Jia X, Mulvenna J, Dash D. Integrated Transcriptomic-Proteomic Analysis Using a Proteogenomic Workflow Refines Rat Genome Annotation. Mol Cell Proteomics. 2016 Jan;15(1):329-39. doi: 10.1074/mcp.M114.047126. Epub 2015 Nov 11. PubMed PMID: 26560066.

41. Maji A, Misra R, Kumar Mondal A, Kumar D, Bajaj D, Singhal A, Arora G, Bhaduri A, Sajid A, Bhatia S, Singh S, Singh H, Rao V, Dash D, Baby Shalini E, Sarojini Michael J, Chaudhary A, Gokhale RS, Singh Y. Expression profiling of lymph nodes in tuberculosis patients reveal inflammatory milieu at site of infection. Sci Rep. 2015 Oct 15;5:15214. doi: 10.1038/srep15214. PubMed PMID: 26469538.

42. Kumar D, Jain A, Dash D. Probing the Missing Human Proteome: A Computational Perspective. J Proteome Res. 2015 Dec 4;14(12):4949-58. doi: 10.1021/acs.jproteome.5b00728. Epub 2015 Oct 5. PubMed PMID: 26407240.

43. Brinkman DL, Jia X, Potriquet J, Kumar D, Dash D, Kvaskoff D, Mulvenna J. Transcriptome and venom proteome of the box jellyfish Chironex fleckeri. BMC Genomics. 2015 May 27;16(1):407. doi: 10.1186/s12864-015-1568-3. PubMed PMID: 26014501.

44. Narang A, Jha P, Kumar D, Kutum R, Mondal AK; Indian Genome Variation Consortium; Dash D, Mukerji M. Extensive copy number variations in admixed Indian population of African ancestry: potential involvement in adaptation. Genome Biol Evol. 2014 Nov 13;6(12):3171-81. doi: 10.1093/gbe/evu250. PubMed PMID: 25398783.

45. Das Roy R, Bhardwaj M, Bhatnagar V, Chakraborty K, Dash D. How do eubacterial organisms manage aggregation-prone proteome?. F1000Res. 2014 Jun 27;3:137. doi: 10.12688/f1000research.4307.1. eCollection 2014. PubMed PMID: 25339987.

46. Kumar D, Mondal AK, Yadav AK, Dash D. Discovery of rare protein-coding genes in model methylotroph Methylobacterium extorquens AM1. Proteomics. 2014 Dec;14(23-24):2790-4. doi: 10.1002/pmic.201400153. Epub 2014 Oct 2. PubMed PMID: 25158906.

47. Kaurani L, Vishal M, Kumar D, Sharma A, Mehani B, Sharma C, Chakraborty S, Jha P, Ray J, Sen A, Dash D, Ray K, Mukhopadhyay A. Gene-rich large deletions are overrepresented in POAG patients of Indian and Caucasian origins. Invest Ophthalmol Vis Sci. 2014 Apr 24;55(5):3258-64. doi: 10.1167/iovs.14-14339. PubMed PMID: 24764060.

48. 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. doi: 10.1007/s00726-014-1697-z. Epub 2014 Mar 7. PubMed PMID: 24604165.

49. Yadav AK, Kadimi PK, Kumar D, Dash D. ProteoStats–a library for estimating false discovery rates in proteomics pipelines. Bioinformatics. 2013 Nov 1;29(21):2799-800. doi: 10.1093/bioinformatics/btt490. Epub 2013 Aug 20. PubMed PMID: 23962616.

50. 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. doi: 10.1074/mcp.M112.027169. Epub 2013 Jul 23. PubMed PMID: 23882027.

51. Singh GP, Dash D. Electrostatic mis-interactions cause overexpression toxicity of proteins in E. coli. PLoS One. 2013 May 29;8(5):e64893. doi: 10.1371/journal.pone.0064893. Print 2013. PubMed PMID: 23734225.

52. Sinha A, Yadav AK, Chakraborty S, Kabra SK, Lodha R, Kumar M, Kulshreshtha A, Sethi T, Pandey R, Malik G, Laddha S, Mukhopadhyay A, Dash D, Ghosh B, Agrawal A. Exosome-enclosed microRNAs in exhaled breath hold potential for biomarker discovery in patients with pulmonary diseases. J Allergy Clin Immunol. 2013 Jul;132(1):219-22. doi: 10.1016/j.jaci.2013.03.035. Epub 2013 May 14. PubMed PMID: 23683467.

53. Yadav AK, Kumar D, Dash D. Learning from decoys to improve the sensitivity and specificity of proteomics database search results. PLoS One. 2012;7(11):e50651. doi: 10.1371/journal.pone.0050651. Epub 2012 Nov 26. PubMed PMID: 23189209.

54. Vashisht R, Mondal AK, Jain A, Shah A, Vishnoi P, Priyadarshini P, Bhattacharyya K, Rohira H, Bhat AG, Passi A, Mukherjee K, Choudhary KS, Kumar V, Arora A, Munusamy P, Subramanian A, Venkatachalam A, Gayathri S, Raj S, Chitra V, Verma K, Zaheer S, Balaganesh J, Gurusamy M, Razeeth M, Raja I, Thandapani M, Mevada V, Soni R, Rana S, Ramanna GM, Raghavan S, Subramanya SN, Kholia T, Patel R, Bhavnani V, Chiranjeevi L, Sengupta S, Singh PK, Atray N, Gandhi S, Avasthi TS, Nisthar S, Anurag M, Sharma P, Hasija Y, Dash D, Sharma A, Scaria V, Thomas Z; OSDD Consortium; Chandra N, Brahmachari SK, Bhardwaj A. Crowd sourcing a new paradigm for interactome driven drug target identification in Mycobacterium tuberculosis. PLoS One. 2012;7(7):e39808. doi: 10.1371/journal.pone.0039808. Epub 2012 Jul 11. PubMed PMID: 22808064.

55. Goswami R, Singh A, Gupta N; Indian Genome Variation Consortium; Rani R. Presence of strong association of the major histocompatibility complex (MHC) class I allele HLA-A*26:01 with idiopathic hypoparathyroidism. J Clin Endocrinol Metab. 2012 Sep;97(9):E1820-4. doi: 10.1210/jc.2012-1328. Epub 2012 Jun 20. PubMed PMID: 22723329.

56. Beck T, Gollapudi S, Brunak S, Graf N, Lemke HU, Dash D, Buchan I, Díaz C, Sanz F, Brookes AJ. Knowledge engineering for health: a new discipline required to bridge the “”ICT gap”” between research and healthcare. Hum Mutat. 2012 May;33(5):797-802. doi: 10.1002/humu.22066. Epub 2012 Apr 4. PubMed PMID: 22392843.

57. Anurag M, Singh GP, Dash D. Location of disorder in coiled coil proteins is influenced by its biological role and subcellular localization: a GO-based study on human proteome. Mol Biosyst. 2012 Jan;8(1):346-52. doi: 10.1039/c1mb05210a. Epub 2011 Oct 25. PubMed PMID: 22027861.

58. 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. doi: 10.1074/mcp.M111.011445. Epub 2011 Oct 3. PubMed PMID: 21969609.

59. Yadav AK, Bhardwaj G, Basak T, Kumar D, Ahmad S, Priyadarshini R, Singh AK, Dash D, Sengupta S. A systematic analysis of eluted fraction of plasma post immunoaffinity depletion: implications in biomarker discovery. PLoS One. 2011;6(9):e24442. doi: 10.1371/journal.pone.0024442. Epub 2011 Sep 7. PubMed PMID: 21931718.

60. Bhardwaj A, Scaria V, Raghava GP, Lynn AM, Chandra N, Banerjee S, Raghunandanan MV, Pandey V, Taneja B, Yadav J, Dash D, Bhattacharya J, Misra A, Kumar A, Ramachandran S, Thomas Z; Open Source Drug Discovery Consortium; Brahmachari SK. Open source drug discovery–a new paradigm of collaborative research in tuberculosis drug development. Tuberculosis (Edinb). 2011 Sep;91(5):479-86. doi: 10.1016/ Epub 2011 Jul 22. PubMed PMID: 21782516.

61. Gautam P, Jha P, Kumar D, Tyagi S, Varma B, Dash D, Mukhopadhyay A; Indian Genome Variation Consortium; Mukerji M. Spectrum of large copy number variations in 26 diverse Indian populations: potential involvement in phenotypic diversity. Hum Genet. 2012 Jan;131(1):131-43. doi: 10.1007/s00439-011-1050-5. Epub 2011 Jul 9. PubMed PMID: 21744140.

62. Narang A, Jha P, Rawat V, Mukhopadhyay A, Dash D; Indian Genome Variation Consortium; Basu A, Mukerji M. Recent admixture in an Indian population of African ancestry. Am J Hum Genet. 2011 Jul 15;89(1):111-20. doi: 10.1016/j.ajhg.2011.06.004. Epub 2011 Jul 7. PubMed PMID: 21737057.

62. Singla D, Anurag M, Dash D, Raghava GP. A web server for predicting inhibitors against bacterial target GlmU protein. BMC Pharmacol. 2011 Jul 6;11:5. doi: 10.1186/1471-2210-11-5. PubMed PMID: 21733180.

63. Yadav AK, Kumar D, Dash D. MassWiz: a novel scoring algorithm with target-decoy based analysis pipeline for tandem mass spectrometry. J Proteome Res. 2011 May 6;10(5):2154-60. doi: 10.1021/pr200031z. Epub 2011 Apr 5. PubMed PMID: 21417338.

64. Aggarwal S, Negi S, Jha P, Singh PK, Stobdan T, Pasha MA, Ghosh S, Agrawal A; Indian Genome Variation Consortium; Prasher B, Mukerji M. EGLN1 involvement in high-altitude adaptation revealed through genetic analysis of extreme constitution types defined in Ayurveda. Proc Natl Acad Sci U S A. 2010 Nov 2;107(44):18961-6. doi: 10.1073/pnas.1006108107. Epub 2010 Oct 18. PubMed PMID: 20956315.

65. Narang A, Roy RD, Chaurasia A, Mukhopadhyay A, Mukerji M; Indian Genome Variation Consortium; Dash D. IGVBrowser–a genomic variation resource from diverse Indian populations. Database (Oxford). 2010 Sep 15;2010:baq022. doi: 10.1093/database/baq022. PubMed PMID: 20843867.

66. Anurag M, Dash D. Unraveling the potential of intrinsically disordered proteins as drug targets: application to Mycobacterium tuberculosis. Mol Biosyst. 2009 Dec;5(12):1752-7. doi: 10.1039/B905518p. Epub 2009 Jul 15. PubMed PMID: 19763328.

67. Brookes AJ, Lehvaslaiho H, Muilu J, Shigemoto Y, Oroguchi T, Tomiki T, Mukaiyama A, Konagaya A, Kojima T, Inoue I, Kuroda M, Mizushima H, Thorisson GA, Dash D, Rajeevan H, Darlison MW, Woon M, Fredman D, Smith AV, Senger M, Naito K, Sugawara H. The phenotype and genotype experiment object model (PaGE-OM): a robust data structure for information related to DNA variation. Hum Mutat. 2009 Jun;30(6):968-77. doi: 10.1002/humu.20973. PubMed PMID: 19479963.

68. Thorisson GA, Lancaster O, Free RC, Hastings RK, Sarmah P, Dash D, Brahmachari SK, Brookes AJ. HGVbaseG2P: a central genetic association database. Nucleic Acids Res. 2009 Jan;37(Database issue):D797-802. doi: 10.1093/nar/gkn748. Epub 2008 Oct 23. PubMed PMID: 18948288.

69. Indian Genome Variation Consortium. Genetic landscape of the people of India: a canvas for disease gene exploration. J Genet. 2008 Apr;87(1):3-20. doi: 10.1007/s12041-008-0002-x. PubMed PMID: 18560169.

70. Singh GP, Dash D. How expression level influences the disorderness of proteins. Biochem Biophys Res Commun. 2008 Jul 4;371(3):401-4. doi: 10.1016/j.bbrc.2008.04.072. Epub 2008 Apr 24. PubMed PMID: 18439906.

71. Singh GP, Dash D. Intrinsic disorder in yeast transcriptional regulatory network. Proteins. 2007 Aug 15;68(3):602-5. doi: 10.1002/prot.21497. PubMed PMID: 17510967.

72. Sandhu KS, Dash D. Dynamic alpha-helices: conformations that do not conform. Proteins. 2007 Jul 1;68(1):109-22. doi: 10.1002/prot.21328. PubMed PMID: 17407165.

73. Singh GP, Ganapathi M, Dash D. Role of intrinsic disorder in transient interactions of hub proteins. Proteins. 2007 Mar 1;66(4):761-5. doi: 10.1002/prot.21281. PubMed PMID: 17154416.

74. Sandhu KS, Dash D. Conformational flexibility may explain multiple cellular roles of PEST motifs. Proteins. 2006 Jun 1;63(4):727-32. doi: 10.1002/prot.20918. PubMed PMID: 16493650.

75. Singh GP, Ganapathi M, Sandhu KS, Dash D. Intrinsic unstructuredness and abundance of PEST motifs in eukaryotic proteomes. Proteins. 2006 Feb 1;62(2):309-15. doi: 10.1002/prot.20746. PubMed PMID: 16299712.

76. Prakash T, Ramakrishnan C, Dash D, Brahmachari SK. Conformational analysis of invariant peptide sequences in bacterial genomes. J Mol Biol. 2005 Feb 4;345(5):937-55. doi: 10.1016/j.jmb.2004.11.008. Epub 2004 Dec 16. PubMed PMID: 15644196.

77. Pandey N, Ganapathi M, Kumar K, Dasgupta D, Das Sutar SK, Dash D. Comparative analysis of protein unfoldedness in human housekeeping and non-housekeeping proteins. Bioinformatics. 2004 Nov 22;20(17):2904-10. doi: 10.1093/bioinformatics/bth344. Epub 2004 Jun 4. PubMed PMID: 15238363.

78. Bakshi R, Prakash T, Dash D, Brahmachari V. In silico characterization of the INO80 subfamily of SWI2/SNF2 chromatin remodeling proteins. Biochem Biophys Res Commun. 2004 Jul 16;320(1):197-204. doi: 10.1016/j.bbrc.2004.05.147. PubMed PMID: 15207721.

79. Prakash T, Khandelwal M, Dasgupta D, Dash D, Brahmachari SK. CoPS: Comprehensive Peptide Signature database. Bioinformatics. 2004 Nov 1;20(16):2886-8. doi: 10.1093/bioinformatics/bth325. Epub 2004 May 27. PubMed PMID: 15166019.

80. Sharma R, Maheshwari JK, Prakash T, Dash D, Brahmachari SK. Recognition and analysis of protein-coding genes in severe acute respiratory syndrome associated coronavirus. Bioinformatics. 2004 May 1;20(7):1074-80. doi: 10.1093/bioinformatics/bth041. Epub 2004 Feb 5. PubMed PMID: 14764577.

81. Sen S, Dash D, Pasha S, Brahmachari SK. Role of histidine interruption in mitigating the pathological effects of long polyglutamine stretches in SCA1: A molecular approach. Protein Sci. 2003 May;12(5):953-62. doi: 10.1110/ps.0224403. PubMed PMID: 12717018.

82. Nandi T, Dash D, Ghai R, B-Rao C, Kannan K, Brahmachari SK, Ramakrishnan C, Ramachandran S. A novel complexity measure for comparative analysis of protein sequences from complete genomes. J Biomol Struct Dyn. 2003 Apr;20(5):657-68. doi: 10.1080/07391102.2003.10506882. PubMed PMID: 12643768.

83. Chauhan C, Dash D, Grover D, Rajamani J, Mukerji M. Origin and instability of GAA repeats: insights from Alu elements. J Biomol Struct Dyn. 2002 Oct;20(2):253-63. doi: 10.1080/07391102.2002.10506841. PubMed PMID: 12354077.

84. Kukreti R, Dash D, E VK, Chakravarty S, Das SK, De M, Talukder G. Spectrum of beta-thalassemia mutations and their association with allelic sequence polymorphisms at the beta-globin gene cluster in an Eastern Indian population. Am J Hematol. 2002 Aug;70(4):269-77. doi: 10.1002/ajh.10117. PubMed PMID: 12210807.

85. Saleem Q, Dash D, Gandhi C, Kishore A, Benegal V, Sherrin T, Mukherjee O, Jain S, Brahmachari SK. Association of CAG repeat loci on chromosome 22 with schizophrenia and bipolar disorder. Mol Psychiatry. 2001 Nov;6(6):694-700. doi: 10.1038/ PubMed PMID: 11673798.

86. Pataskar SS, Dash D, Brahmachari SK. Progressive myoclonus epilepsy [EPM1] repeat d(CCCCGCCCCGCG)n forms folded hairpin structures at physiological pH. J Biomol Struct Dyn. 2001 Oct;19(2):293-305. doi: 10.1080/07391102.2001.10506740. PubMed PMID: 11697734.

87. Pataskar SS, Dash D, Brahmachari SK. Intramolecular i-motif structure at acidic pH for progressive myoclonus epilepsy (EPM1) repeat d(CCCCGCCCCGCG)n. J Biomol Struct Dyn. 2001 Oct;19(2):307-13. doi: 10.1080/07391102.2001.10506741. PubMed PMID: 11697735.

88. Ramachandran S, Dash D, Brahmachari SK. The multitude of ‘omics’ and ‘omes’: Evolution of scientific terms in molecular biology in the new millennium. Current Science. 1999 Oct;77(7):846-847.

Books authored / edited


Books authored / edited:

Sl. No. Authors Name Title of the Chapter Name of the Book, volume, page, year and publisher
1 Dhirendra Kumar,
Debasis Dash
Proteogenomic tools and approaches to explore protein coding landscapes of eukaryotic genomes. Proteogenomics, Chapter 1:1-10,2016, Springer
2 Dhirendra Kumar,
Amit K Yadav and
Debasis Dash
Choosing an optimal database for protein identification from tandem MS data. Proteome Bioinformatics, Methods in Molecular
Biology, 2016
3 Samir K Brahmachari, Beena Pillai, K M Monisha, Sridhar Sivasubbu, Rowmika Ravi, Dhirendra Kumar, Debasis Dash Chapter 16: Genomics and Functional Genomics Page: 719-774 Textbook of Biotechnology, 5ed
H.K. Das, 2017
ISBN: 9788126564040
1104 pages
4 Meenakshi Anurag, Gajinder Pal Singh, Debasis Dash Intrinsically disordered proteins: Revisiting the structure-function paradigm Page: 333-345 Biomolecular Forms and Functions: A Celebration of 50 Years of the Ramachandran Map, 333-345,2013, World Scientific / Indian Inst of Science, India
5 Abhilash Gangadharan and Debasis Dash Genome Scale Metabolic Models in Systems Biology: From Genotype to Phenotype using Constraint Based Models and Flux Balance Analysis Page: 125-148 Applied Synthetic Biology (Chapter 5, Volume 4) of Biotechnology Series, 2013

Patents Granted

Sl. No. Title Country/Patent Number Granted (Date) Names of Inventors
HU 228447
US 7657378
IL 147435
KR 780874
CN 218305
RU 2249044
SE EP1268512
IT EP1268512
GB EP1268512
FR EP1268512
CZ EP1268512
DE EP1268512
IL 176125
AU 2004297721
CN ZL200480040837.3
DE 1690207
EP 1690207
GB 1690207
JP 4495166

Copyrights Granted

Sl. No. Name Registration No
1 PLHOSTFA (A web based software) Reg No: SW-886/2002
2 PATTFIND (A web based software) Reg No: SW-887/2002
3 PEPSTICH Reg No: L-19606/2001
4 PEPEXTRACT Reg No: L-19607/2001
5 PEPLIMP Reg No: L-19608/2001
6 Database entitled CoPS Reg No: CR- 9/2003
7 Software entitled “GeneDecipher” Reg No: CR- 10/2003


Technologies developed, Licensed and/or commercialized

S.No. Title Year of Development Contribution in the development
1 MassWiz 2011 Project Leader
2 Proteome Analyst 2012 Project Leader
3 GenoSuite 2012 Project Leader
4 ProGyan 2012 Project Leader
5 ProteoStats 2013 Project Leader
6 EuGenoSuite 2015 Project Leader




director@ils.res.inInstitute of Life Sciences
Nalco Square, Chandrasekharpur
Bhubaneswar-751023, Odisha, India



Along with my students, I have developed various tools and algorithms for mass spectrometry (MS) based proteomics data analysis, proteogenomics and machine learning approaches for protein classification like MassWiz, GenoSuite, EuGenoSuite, ProGyan. MassWiz is an open-source, free resource to the scientific community which ranked amongst top mass spectrometry-based peptide identification software and provides better coverage by combining intensities and matched ion continuities. GenoSuite and EuGenoSuite, two novel workflows developed in my lab are widely acclaimed and used in combination with other tools to analyse various proteomic data and reannotated many new genes previously unknown to express as proteins. These tools have resulted in many significant research publications and cumulatively revealing new functions in the biology of pathogens, model organisms and human.

We have also developed a framework for stratified medicine through the novel approach of Ayurgenomics and established a new CSIR unit TRISUTRA. This unit carry out and facilitate research to provide scientific validation of concepts described in Ayurveda through genomics also develop interdisciplinary manpower to carry out research in this area.