Aug 24, 2022
Version 2
Applied GPU Computing in Computational Biology to Study Disparate Multicellularity Scenarios V.2
- 1Heritage Institute of Technology, Kolkata
Document Citation: Avimanyu Bandyopadhyay 2022. Applied GPU Computing in Computational Biology to Study Disparate Multicellularity Scenarios. protocols.io https://dx.doi.org/10.17504/protocols.io.3byl47z2zlo5/v2Version created by Avimanyu Bandyopadhyay
License: This is an open access document distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Created: August 24, 2022
Last Modified: August 24, 2022
Document Integer ID: 69104
Keywords: gpu computing in computational biology, applied gpu computing, bioinformatics, computational biology, bioinformatics lab, bioinformatics at heritage institute, disparate multicellularity scenario, biotechnology, west bengal institute of technology, west bengal institute
Abstract
A prethesis in partial fulfilment for a PhD in Bioinformatics at Heritage Institute of Technology under Maulana Abul Kalam Azad University of Technology (formerly West Bengal Institute of Technology), Haringhata, West Bengal.
PhD Candidate: Avimanyu Bandyopadhyay, under the supervision of Prof. Dr. Dipankar Chaudhuri and the joint supervision of Dr. Soma Banerjee, CB-611, Bioinformatics Lab, Dept. of Biotechnology, Heritage Institute of Technology, Kolkata, West Bengal.
PhD Registration no.: PhD/Tech/BI004/2016