Schulz Lab

About Me

I am a computational biologist. My research surrounds deciphering the regulatory role and dynamics of RNAs and Transcription Factors (TFs) towards understanding disease progression esp. in cardiovascular regeneration and cancer. I am currently working on developing efficient and scalable pipelines for integrating multi-omics data, machine learning and deep learning algorithms and statistical network modelling methods. The domains of my research interests primarily include Machine Learning, Next-Gen Sequencing Data Analysis, ceRNA Networks, Statistical Modeling and Cloud Computing.

Short CV

I received my bachelors in Information Technnology from National Institute of Technology (Durgapur), India and completed my masters in Distributed and Mobile Computing from Jadavpur University (Kolkata), India. Thereafter, I pursued my PhD with the Division of Bioinformatics, Bose Institute, India and Department of Computer Science and Engineering, Calcutta University, India.

Academic Degrees

Awards & Fellowships

• Received 3 year Research Associateship from Council of Scientific & Industrial Research (CSIR): Human Resource Development Group, Government of India, for the project entitled “Elucidating the role of piRNAs in ceRNA networks regulating cancer pathogenesis” in 2017.
• Received 4 year Senior Research Fellowship from Council of Scientific & Industrial Research (CSIR): Human Resource Development Group, Government of India, for the project entitled “piRNAs: Unravelling their role as modulators in Ovarian Cancer” in 2013.
• Received Graduate Aptitude Test in Engineering (GATE) Fellowship, 2009
• 1st prize in “Building an Autonomous Line Follower Robot”, in Robocity, Aarohan’2k7, an Annual Technical Festival, NIT Durgapur, 2007.

Publications

[1] Mondal, S., Maji, R. K., Ghosh, Z. & Khatua, S.
ParStream-seq: An improved method of handling Next Generation sequence data
Elsevier Genomics, 2018.

[2] Maji, R. K., Khatua, S., & Ghosh, Z.
A supervised ensemble approach for sensitive microRNA target prediction
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2018

[3] Parida, S., Chakraborty, S., Maji, R. K., & Ghosh, Z.
Elucidating the gene regulatory networks modulating cancer stem cells and non-stem cancer cells in high grade serous ovarian cancer
Elsevier Genomics, 2018

[4] Sarkar, D., Maji, R. K., Dey, S., Sarkar, A., Ghosh, Z. & Kundu, P.
Integrated miRNA and mRNA expression profiling reveals the response regulators of a susceptible tomato cultivar to early blight disease
DNA Research, 24(3), 235-250, 2017.

[5] Sen, K., Sarkar, A., Maji, R. K., Ghosh, Z., Gupta, S., & Ghosh, T. C.
Deciphering the cross-talking of human competitive endogenous RNAs in K562 chronic myelogenous leukemia cell line.
Molecular BioSystems, 12(12), 3633-3642, 2016.

[6] Kumar, M., Sahu, S.K., Kumar, R., Subuddhi, A., Maji, R.K., Jana, K., Gupta, P., Raffetseder, J., Lerm, M., Ghosh, Z. and van Loo, G.
MicroRNA let-7 modulates the immune response to Mycobacterium tuberculosis infection via control of A20, an inhibitor of the NF-kb pathway
Cell Host & Microbe, 17(3), pp.345-356, 2015.

[7] Maji, R. K., Sarkar, A., Khatua, S., Dasgupta, S., & Ghosh, Z.
PVT: an efficient computational procedure to speed up next-generation sequence analysis
BMC Bioinformatics, 15(1) 167, 2014.

[8] Maji, R. K., Sarkar, A., Saha, S., & Ghosh, Z.
piRNAQuest: searching the piRNAome for silencers
BMC Genomics, 15(1), 555, 2014.

[9] Chakraborty, S., Deb, A., Maji, R. K., Saha, S., & Ghosh, Z.
LncRBase: an enriched resource for lncRNA information
PloS One , 9(9), e108010, 2014.

[10] Chakraborty, B., Maji, R. K., & Ghosh, D. (2011)
An object oriented programming platform for ontology based KMS
Journal of Computational Methods in Sciences and Engineering, 11(s1), 139-148.

[11] Chakraborty, B., Maji, R. K., Ghosh, D., Garnaik, S., & Debnath, N.
Knowledge management with case-based reasoning applied on fire emergency handling
In 8th IEEE International Conference on Industrial Informatics (INDIN), 2010, (pp. 708-713).