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 | 146 | 2016 |
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, 3336, 2019 | 70 | 2019 |
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 | 58 | 2016 |
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 | 52 | 2020 |
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 | 35 | 2013 |
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 | 19 | 2020 |
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 | 14 | 2019 |
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 | 10* | 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 | 8 | 2022 |
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 | 7 | 2021 |
Tracking mutational semantics of SARS-CoV-2 genomes R Singh, S Nagpal, NK Pinna, SS Mande Scientific Reports 12 (1), 15704, 2022 | 5 | 2022 |
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 | 4 | 2021 |
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 | 4 | 2020 |
Environmental insults and compensative responses: when microbiome meets cancer S Nagpal, SS Mande Discover Oncology 14 (1), 130, 2023 | 3 | 2023 |
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 38 (6), 1152-1165, 2024 | 2 | 2024 |
Colon or semicolon: gut sampling microdevices for omics insights S Nagpal, SK Srivastava npj Biofilms and Microbiomes 10 (1), 97, 2024 | 1 | 2024 |
EnsembleSeq: a workflow towards real-time, rapid, and simultaneous multi-kingdom-amplicon sequencing for holistic and resource-effective microbiome research at scale S Nagpal, SS Mande, H Hooda, U Dutta, B Taneja Microbiology Spectrum 12 (6), e04150-23, 2024 | 1 | 2024 |
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 | 1 | 2023 |
Method and system for risk assessment of autism spectrum disorder in a subject S Nagpal, MM Haque, SS Mande, M Merchant, VSKR Chennareddy US Patent App. 18/422,276, 2024 | | 2024 |
Early risk assessment of preterm delivery in a subject M Merchant, S Nagpal, MM Haque, SS Mande, NK Pinna US Patent App. 18/429,168, 2024 | | 2024 |