Inferring the genetic variability in Indian SARS-CoV-2 genomes using consensus of multiple sequence alignment techniques

por Saha, Indrajit, Ghosh, Nimisha, Maity, Debasree, Sharma, Nikhil, Mitra, Kaushik
Publicado 2020

COVID-DeepPredictor: Recurrent Neural Network to Predict SARS-CoV-2 and Other Pathogenic Viruses

por Saha, Indrajit, Ghosh, Nimisha, Maity, Debasree, Seal, Arjit, Plewczynski, Dariusz
Publicado 2021

Topological Analysis for Sequence Variability: Case Study on more than 2K SARS-CoV-2 sequences of COVID-19 infected 54 countries in comparison with SARS-CoV-1 and MERS-CoV

por Sarkar, Jnanendra Prasad, Saha, Indrajit, Seal, Arijit, Maity, Debasree, Maulik, Ujjwal
Publicado 2021

Online Predictor Using Machine Learning to Predict Novel Coronavirus and Other Pathogenic Viruses

por Sarkar, Jnanendra Prasad, Saha, Indrajit, Ghosh, Nimisha, Maity, Debasree, Plewczynski, Dariusz
Publicado 2022

Genome-wide analysis of Indian SARS-CoV-2 genomes for the identification of genetic mutation and SNP

por Saha, Indrajit, Ghosh, Nimisha, Maity, Debasree, Sharma, Nikhil, Sarkar, Jnanendra Prasad, Mitra, Kaushik
Publicado 2020