Priyojit Das

Priyojit Das
	PhD Candidate in Genome Science and Technology (2018 - ) UT-ORNL Graduate School of Genome Science and Technology University of Tennessee, Knoxville, TN Advisor: Dr. Rachel Patton McCord E-mail: pdas8@vols.utk.edu Office: Room 420D, Mossman Building

Gene expression regulation in differentially positioned inactive regions during cellular differentiation
Relation between 3D genome reorganization and breast cancer metastasis organotropism
In-silico prediction of lamina association of the chromatin regions inside the nucleus

Characterize chromosome structural ensemble heterogeneity and fluctuation from single-cell experiments
Chromosome radial organization
Characterizing structure and dynamics of partially structured biopolymers using contact map analysis
Analysis of X chromosome dynamics using explicit contact correlation analysis
Nucleation dynamics of active particles
Identification of the subgroups of EMT associated mesenchymal genes

Chromosome conformation capture data analysis
3D genome modeling
Gene expression data analysis, Biological data clustering, Network modeling and analysis
Python, R, Perl (Basic)
C, C++
HTML, CSS, PHP, Javascript
Cytoscape, Gephi, Matlab (Basic), Latex
Microsoft, Linux

2018	MTech Computer Science and Engineering, National Institute of Technology Calicut, India

2016	BTech Computer Science and Engineering, Heritage Institute of Technology Kolkata, India

Rebeca San Martin, Priyojit Das, Renata Dos Reis Marques, Yang Xu, Justin Roberts, Jacob Sanders, Rosela Golloshi, and Rachel McCord. "Chromosome compartmentalization alterations in prostate cancer cell lines model disease progression". Journal of Cell Biology. doi:https://doi.org/10.1083/jcb.202104108.
Yang Xu, Priyojit Das, and Rachel Patton McCord. "SMILE: Mutual Information Learning for Integration of Single-cell Omics Data". Bioinformatics. 2021 Oct 8:btab706. doi:https://doi.org/10.1093/bioinformatics/btab706.
Priyojit Das, Tongye Shen, and Rachel Patton McCord. "Inferring chromosome radial organization from Hi-C data". BMC bioinformatics 21, no. 1: 1-28. doi:https://doi.org/10.1186/s12859-020-03841-7.
Das, Priyojit, Rosela Golloshi, Rachel Patton McCord, and Tongye Shen. "Using Contact Statistics to Characterize Structure Transformation of Biopolymer Ensembles". Physical Review E 101, no. 1 (January 31, 2020). doi:10.1103/physreve.101.012419.

Das, Priyojit, Sujay Saha, Anupam Ghosh, and Kashi Nath Dey. "Gene Ranking: A Novel Approach Using Multi-Objective Genetic Algorithm". In 2018 7th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions)(ICRITO), pp. 523-528. IEEE, 2018. doi:https://doi.org/10.1109/ICRITO.2018.8748348.
Saha, Sujay, Priyojit Das, Anupam Ghosh, and Kashi Nath Dey. "Ranking of Cancer Mediating Genes: A Novel Approach Using Genetic Algorithm in DNA Microarray Gene Expression Dataset". In International Conference on Advances in Computing and Data Sciences, pp. 129-137. Springer, Singapore, 2018. doi:https://doi.org/10.1007/978-981-13-1813-9_13.
Das, Priyojit, and KA Abdul Nazeer. "A novel clustering method to identify cell types from single cell transcriptional profiles". Procedia computer science 132 (2018): 983-992. doi:https://doi.org/10.1016/j.procs.2018.05.114.
Das, Priyojit, and Sujay Saha. "A novel SFLA based method for gene expression biclustering". In 2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN), pp. 198-202. IEEE, 2017. doi:https://doi.org/10.1109/ICRCICN.2017.8234506.

MSE  614	Modeling & Simulation in Materials Science & Engineering: Classical Mechanics

BCMB 610	Chromatin Structure and Function

BCMB 511	Advanced Protein Chemistry/Cell Biology

LFSC 520	Genome Science and Technology I

LFSC 507	Programming/Biological Data Analysis

LFSC 507	Programming/Biological Data Analysis