At Sengupta Lab, we make use of state of the art Big Data mining and Machine Learning techniques to address computational challenges arising from the field of Genomics.

We closely collaborate with clinicians at leading hospitals to build better predictive models for cancer survival, drug resistance in infection and label-free identification of circulating tumor cells.

Shreya Mishra joins the group for Ph.D.

Posted 21 Jun 2018

Our dream project, CellAtlasSearch, the first single cell search engine is now published by Nucleic Acids Research

Posted 21 May 2018

Sengupta Lab partners with Circle of Life Health Care Pvt. Ltd. to help healthcare industry function intelligently both on the clinical and operational conducts.

Posted 02 May 2018

DropClust, the speediest clustering algorithm for ultra-large scRNA-seq data is now published by Nucleic Acids Research.

Posted 18 Jan 2018
Published (In Press)
CellAtlasSearch: a scalable search engine for single cells
Srivastava et al. Nucleic Acids Research 2018
Published 21 May 2018
Published 18 Jan 2018
Published 20 Mar 2017
Published 29 Jun 2016