Debasis Dash

Debasis Dash
Born (1972-06-17) 17 June 1972 (age 54)
Bhubaneswar, India
Known forStudies on computational biology
Awards
Scientific career
Fields
Workplaces

Debasis Dash is an Indian computational biologist and chief scientist at the Institute of Genomics and Integrative Biology (IGIB). Known for his research on proteomics and Big Data and Artificial Intelligence studies, his studies have been documented by way of a number of articles and ResearchGate, an online repository of scientific articles has listed 120 of them. The Department of Biotechnology of the Government of India awarded him the National Bioscience Award for Career Development, one of the highest Indian science awards, for his contributions to biosciences, in 2014. He was appointed as the director of Institute of Life Sciences, Bhubaneswar on 18 May 2023.

Biography

Debasis Dash, born on 17 June 1972 in Bhubaneswar, completed his master's degree in chemistry at Delhi University before securing a PhD in 1998. He joined IGIB as scientist in 2000 where he now serves as professor and head for Big Data and AI decision Unit. His contributions have led to the establishment of a thriving school in the realm of genome, proteome and health care informatics.

One of Dr. Dash's notable achievements includes the development of award-winning commercial software suites such as PLHost and Genocluster, which garnered recognition at the Bangalore Bio conferences in 2005 and 2006 for the best product presentation. Collaborating with researchers utilizing the PLHost tool, Dr. Dash's team identified novel genes coding for chromatin remodeling proteins called INO-80, as published in the esteemed Online Mendelian Inheritance in Man (OMIM) database. He has been also part of renowned Open Source Drug Discovery project and Indian Genome Variation Consortium, the largest study conducted on healthy individuals in India to catalog basal genomic variation across diverse populations. In the realm of virology, Dr. Dash's unique GeneD'cipher algorithm identified three novel genes in the SARS virus, aiding in its diagnosis during the outbreak in China. His exceptional contribution in this area received extensive media coverage, with headlines such as "Indian scientists develop Gene Decipher to fight against SARS" featured in prominent publications like India Today, Economic Times, and The Hindu. Additionally, Dr. Dash played a crucial role in establishing the GN Ramachandran Knowledge Centre for Genome Informatics at IGIB.

Combining genomics and proteomics, Dr. Dash ventured into proteogenomics, developing computational algorithms and associated software suites like MassWiz, flexifdr, and ProteoStats. Through his systematic analysis of proteomics data, he made significant discoveries, including the identification of proteins in human plasma, M. tuberculosis, agriculturally important symbiont B. Japonicum, and the missing proteome in humans. In last 5 years, Dr. Dash has also made notable contributions to the development of AI-based medical imaging tools. He has worked on projects such as CovBaseAI project, focusing on the detection and diagnosis of COVID-19 pneumonia from chest X-rays. He has also been involved in the RAPID-CT, aiming to reduce turnaround time and prioritize patients based on their condition using automated triage of medical images. Furthermore, Dr. Dash has worked on the identification and classification of Interstitial Lung Diseases (ILD) from CT scans, aiming to develop a system for texture-based analysis and quantification.

Dr. Dash's research has also fostered the growth of bioinformatics research in India and resulted in the establishment of a school of genome informatics in India, with many of his trained students receiving prestigious fellowships and holding faculty positions at renowned institutions like IIT, IISER, THSTI, and Delhi University.

In summary, Dr. Debasis Dash's scientific journey in genome informatics has contributed significantly to the field of biological sciences. His ideas, pioneering algorithms, and research have garnered international recognition, positioning CSIR-IGIB as a leading institution in bioinformatics. Dr. Dash’s research in genomics, proteomics, and proteogenomics has led to new developments in biological systems. His work has influenced methods used in diagnostics, drug discovery, and personalized medicine.

Awards and honors

Patents

         US, PCT: NF64/2000; Samir K. Brahmachari and Debasis Dash
         US, PCT: NF 421/03; S.K. Brahmachari, D. Dash, J.K Maheshwari and R. Sharma

International Collaborations

Selected bibliography

References

  1. ↑ "DD Lab". sites.google.com. Retrieved 2 June 2023.
  2. ↑ "Debasis Dash". Institute of Genomics and Integrative Biology. Retrieved 2 June 2023.
  3. 1 2 3 "Debasis Dash appointed Director- Institute of Life Sciences, Bhubaneswar". 18 May 2023. Retrieved 30 May 2023.
  4. ↑ Kumar, Dhirendra; Yadav, Amit Kumar; Jia, Xinying; Mulvenna, Jason; Dash, Debasis (1 January 2016). "Integrated Transcriptomic-Proteomic Analysis Using a Proteogenomic Workflow Refines Rat Genome Annotation*". Molecular & Cellular Proteomics. 15 (1): 329–339. doi:10.1074/mcp.M114.047126. ISSN 1535-9476. PMC 4762527. PMID 26560066.
  5. ↑ Kumar, Dhirendra; Bansal, Gourja; Narang, Ankita; Basak, Trayambak; Abbas, Tahseen; Dash, Debasis (October 2016). "Integrating transcriptome and proteome profiling: Strategies and applications". Proteomics. 16 (19): 2533–2544. doi:10.1002/pmic.201600140. PMID 27343053. S2CID 13333376.
  6. ↑ Singh, Prateek; Ujjainiya, Rajat; Prakash, Satyartha; Naushin, Salwa; Sardana, Viren; Bhatheja, Nitin; Singh, Ajay Pratap; Barman, Joydeb; Kumar, Kartik; Gayali, Saurabh; Khan, Raju; Rawat, Birendra Singh; Tallapaka, Karthik Bharadwaj; Anumalla, Mahesh; Lahiri, Amit (1 July 2022). "A machine learning-based approach to determine infection status in recipients of BBV152 (Covaxin) whole-virion inactivated SARS-CoV-2 vaccine for serological surveys". Computers in Biology and Medicine. 146 105419. doi:10.1016/j.compbiomed.2022.105419. ISSN 0010-4825. PMC 9040372. PMID 35483225.
  7. 1 2 Gidde, Prashant Sadashiv; Prasad, Shyam Sunder; Singh, Ajay Pratap; Bhatheja, Nitin; Prakash, Satyartha; Singh, Prateek; Saboo, Aakash; Takhar, Rohit; Gupta, Salil; Saurav, Sumeet; M. V., Raghunandanan; Singh, Amritpal; Sardana, Viren; Mahajan, Harsh; Kalyanpur, Arjun (1 December 2021). "Validation of expert system enhanced deep learning algorithm for automated screening for COVID-Pneumonia on chest X-rays". Scientific Reports. 11 (1): 23210. Bibcode:2021NatSR..1123210G. doi:10.1038/s41598-021-02003-w. ISSN 2045-2322. PMC 8636645. PMID 34853342. S2CID 224817359.
  8. ↑ "On Google Scholar". Google Scholar. 12 May 2018. Retrieved 12 May 2018.
  9. ↑ "Debasis Dash". ResearchGate. Retrieved 2 June 2023.
  10. ↑ "On ResearchGate". 12 May 2018. Retrieved 12 May 2018.
  11. ↑ "Awardees of National Bioscience Awards for Career Development" (PDF). Department of Biotechnology. 2016. Archived from the original (PDF) on 4 March 2018. Retrieved 20 November 2017.
  12. ↑ Pioneer, The. "Debasis Dash appointed as ILS Director". The Pioneer. Retrieved 2 June 2023.
  13. ↑ "Jalaja Tech's bioinformatics software completes test trials". test.pharmabiz.com. Retrieved 2 June 2023.
  14. ↑ "Genocluster with four softwares: PLHost, SeaPath, Proteome Kalculator and GeneDCfer". CSIR. Retrieved 2 June 2023.
  15. ↑ "Bangalore Bio 2005". www.biospectrumindia.com. Retrieved 2 June 2023.
  16. ↑ "Bangalore Bio 2006 gains momentum". www.biospectrumindia.com. Retrieved 2 June 2023.
  17. ↑ Bakshi, Rachit; Prakash, Tulika; Dash, Debasis; Brahmachari, Vani (16 July 2004). "In silico characterization of the INO80 subfamily of SWI2/SNF2 chromatin remodeling proteins". Biochemical and Biophysical Research Communications. 320 (1): 197–204. doi:10.1016/j.bbrc.2004.05.147. ISSN 0006-291X. PMID 15207721.
  18. ↑ "Open Source Drug Discovery". www.osdd.net. Archived from the original on 20 October 2015. Retrieved 2 June 2023.
  19. ↑ Sharma, Ramakant; Maheshwari, Jitendra Kumar; Prakash, Tulika; Dash, Debasis; Brahmachari, Samir K. (2004). "Recognition and analysis of protein-coding genes in severe acute respiratory syndrome associated coronavirus". Bioinformatics. 20 (7): 1074–1080. doi:10.1093/bioinformatics/bth041. PMC 7110108. PMID 14764577. Retrieved 2 June 2023.
  20. ↑ Yadav, Amit Kumar; Kumar, Dhirendra; Dash, Debasis (26 November 2012). "Learning from Decoys to Improve the Sensitivity and Specificity of Proteomics Database Search Results". PLOS ONE. 7 (11) e50651. Bibcode:2012PLoSO...750651Y. doi:10.1371/journal.pone.0050651. ISSN 1932-6203. PMC 3506577. PMID 23189209.
  21. ↑ Yadav, Amit Kumar; Kadimi, Puneet Kumar; Kumar, Dhirendra; Dash, Debasis (2013). "ProteoStats—a library for estimating false discovery rates in proteomics pipelines". Bioinformatics. 29 (21): 2799–2800. doi:10.1093/bioinformatics/btt490. PMID 23962616. Retrieved 2 June 2023.
  22. ↑ Kelkar, Dhanashree S.; Kumar, Dhirendra; Kumar, Praveen; Balakrishnan, Lavanya; Muthusamy, Babylakshmi; Yadav, Amit Kumar; Shrivastava, Priyanka; Marimuthu, Arivusudar; Anand, Sridhar; Sundaram, Hema; Kingsbury, Reena; Harsha, H. C.; Nair, Bipin; Prasad, T. S. Keshava; Chauhan, Devendra Singh (1 December 2011). "Proteogenomic Analysis of Mycobacterium tuberculosis By High Resolution Mass Spectrometry*". Molecular & Cellular Proteomics. 10 (12): M111.011445. doi:10.1074/mcp.M111.011627. ISSN 1535-9476. PMC 3275902. PMID 21969609. S2CID 36626951.
  23. ↑ Kumar, Dhirendra; Yadav, Amit Kumar; Kadimi, Puneet Kumar; Nagaraj, Shivashankar H.; Grimmond, Sean M.; Dash, Debasis (1 November 2013). "Proteogenomic Analysis of Bradyrhizobium japonicum USDA110 Using Genosuite, an Automated Multi-algorithmic Pipeline*". Molecular & Cellular Proteomics. 12 (11): 3388–3397. doi:10.1074/mcp.M112.027169. ISSN 1535-9476. PMC 3820949. PMID 23882027.
  24. ↑ Kumar, Dhirendra; Jain, Aradhya; Dash, Debasis (4 December 2015). "Probing the Missing Human Proteome: A Computational Perspective". Journal of Proteome Research. 14 (12): 4949–4958. doi:10.1021/acs.jproteome.5b00728. ISSN 1535-3893. PMID 26407240.