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Sunil Nagpal
Sunil Nagpal
Scientist, TCS Research, India
Verified email at tcs.com - Homepage
Title
Cited by
Cited by
Year
Microbial community profiling shows dysbiosis in the lesional skin of Vitiligo subjects
P Ganju, S Nagpal, MH Mohammed, P Nishal Kumar, R Pandey, ...
Scientific reports 6 (1), 18761, 2016
1292016
iVikodak—A platform and standard workflow for inferring, analyzing, comparing, and visualizing the functional potential of microbial communities
S Nagpal, MM Haque, R Singh, SS Mande
Frontiers in Microbiology 9, 429477, 2019
632019
Vikodak-a modular framework for inferring functional potential of microbial communities from 16S metagenomic datasets
S Nagpal, MM Haque, SS Mande
PLoS One 11 (2), e0148347, 2016
562016
MetagenoNets: comprehensive inference and meta-insights for microbial correlation networks
S Nagpal, R Singh, D Yadav, SS Mande
Nucleic acids research 48 (W1), W572-W579, 2020
412020
Process parameters for influencing polyhydroxyalkanoate producing bacterial factories: an overview
A Girdhar, M Bhatia, S Nagpal, A Kanampalliwar, A Tiwari
J. Pet. Environ. Biotechnol 4 (155), 2, 2013
292013
NetConfer: a web application for comparative analysis of multiple biological networks
S Nagpal, KD Baksi, BK Kuntal, SS Mande
BMC biology 18, 1-12, 2020
142020
16S rDNA based skin microbiome data of healthy individuals and leprosy patients from India
N Bayal, S Nagpal, MM Haque, MS Patole, V Valluri, R Suryavanshi, ...
Scientific Data 6 (1), 225, 2019
122019
Tracking mutational semantics of SARS-CoV-2 genomes
R Singh, S Nagpal, NK Pinna, SS Mande
Scientific Reports 12 (1), 15704, 2022
72022
Structural aspects of lesional and non-lesional skin microbiota reveal key community changes in leprosy patients from India
N Bayal, S Nagpal, MM Haque, MS Patole, Y Shouche, SC Mande, ...
Scientific Reports 11 (1), 3294, 2021
72021
Can machines learn the mutation signatures of SARS-CoV-2 and enable viral-genotype guided predictive prognosis?
S Nagpal, NK Pinna, N Pant, R Singh, D Srivastava, SS Mande
Journal of Molecular Biology 434 (15), 167684, 2022
6*2022
MarkerML–marker feature identification in metagenomic datasets using interpretable machine learning
S Nagpal, R Singh, B Taneja, SS Mande
Journal of Molecular Biology 434 (11), 167589, 2022
62022
NetSets. js: a JavaScript framework for compositional assessment and comparison of biological networks through Venn-integrated network diagrams
S Nagpal, BK Kuntal, SS Mande
Bioinformatics 37 (4), 580-582, 2021
52021
What if we perceive SARS-CoV-2 genomes as documents? Topic modelling using Latent Dirichlet Allocation to identify mutation signatures and classify SARS-CoV-2 genomes
S Nagpal, D Srivastava, SS Mande
BioRxiv, 2020.08. 20.258772, 2020
42020
Environmental insults and compensative responses: when microbiome meets cancer
S Nagpal, SS Mande
Discover Oncology 14 (1), 130, 2023
12023
Multi‐omics analysis identifies potential microbial and metabolite diagnostic biomarkers of bacterial vaginosis
A Challa, JS Maras, S Nagpal, G Tripathi, B Taneja, G Kachhawa, S Sood, ...
Journal of the European Academy of Dermatology and Venereology, 2024
2024
Integrated omics approach for biomarker discovery in bacterial vaginosis diagnosis
A Challa, S Gupta, G Kachhawa, JS Maras, S Nagpal, S Sood, B Taneja
SEXUALLY TRANSMITTED DISEASES 51 (1), S424-S425, 2024
2024
Machine learning model for microbiome-based diagnosis of bacterial vaginosis
S Gupta, A Challa, G Kachhawa, S Nagpal, S Sood, B Taneja
SEXUALLY TRANSMITTED DISEASES 51 (1), S425-S425, 2024
2024
Method and composition for microbiome based amelioration of skin associated autoimmune inflammatory diseases
S Nagpal, S Bhar, MM Haque, SS Mande
US Patent App. 17/759,734, 2023
2023
System and method for estimation of delivery date of pregnant subject using microbiome data
R Singh, S Nagpal, D Srivastava, MM Haque, SS Mande
US Patent App. 17/805,079, 2023
2023
The business of human microbiome
S Nagpal, G Thiagarajan
https://www.tcs.com/what-we-do/industries/life-sciences/white-paper/human …, 2023
2023
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