Bharat Panwar
Bharat Panwar
Senior Scientist, Amgen, USA
Verified email at - Homepage
Cited by
Cited by
lncRNome: a comprehensive knowledgebase of human long noncoding RNAs
D Bhartiya, K Pal, S Ghosh, S Kapoor, S Jalali, B Panwar, S Jain, S Sati, ...
Database 2013, 2013
miRmine: a database of human miRNA expression profiles
B Panwar, GS Omenn, Y Guan
Bioinformatics 33 (10), 1554-1560, 2017
Predicting human olfactory perception from chemical features of odor molecules
A Keller, RC Gerkin, Y Guan, A Dhurandhar, G Turu, B Szalai, ...
Science 355 (6327), 820-826, 2017
Prediction and classification of ncRNAs using structural information
B Panwar, A Arora, GPS Raghava
BMC genomics 15 (1), 1-13, 2014
Crowdsourced assessment of common genetic contribution to predicting anti-TNF treatment response in rheumatoid arthritis
SK Sieberts, F Zhu, J García-García, E Stahl, A Pratap, G Pandey, ...
Nature communications 7 (1), 1-10, 2016
BIAdb: a curated database of benzylisoquinoline alkaloids
D Singla, A Sharma, J Kaur, B Panwar, GPS Raghava
BMC pharmacology 10 (1), 4, 2010
Single-cell transcriptomic analysis of tissue-resident memory T cells in human lung cancer
J Clarke, B Panwar, A Madrigal, D Singh, R Gujar, O Wood, SJ Chee, ...
Journal of Experimental Medicine 216 (9), 2128-2149, 2019
Genome-wide functional annotation of human protein-coding splice variants using multiple instance learning
B Panwar, R Menon, R Eksi, HD Li, GS Omenn, Y Guan
Journal of proteome research 15 (6), 1747-1753, 2016
Functional networks of highest-connected splice isoforms: from the Chromosome 17 Human Proteome Project
HD Li, R Menon, B Govindarajoo, B Panwar, Y Zhang, GS Omenn, ...
Journal of proteome research 14 (9), 3484-3491, 2015
Comparison of spinocerebellar ataxia type 3 mouse models identifies early gain-of-function, cell-autonomous transcriptional changes in oligodendrocytes
B Ramani, B Panwar, LR Moore, B Wang, R Huang, Y Guan, HL Paulson
Human molecular genetics 26 (17), 3362-3374, 2017
Analysis and prediction of cancerlectins using evolutionary and domain information
R Kumar, B Panwar, JS Chauhan, GPS Raghava
BMC research notes 4 (1), 237, 2011
Prediction of vitamin interacting residues in a vitamin binding protein using evolutionary information
B Panwar, S Gupta, GPS Raghava
BMC bioinformatics 14 (1), 44, 2013
COMPASS: A computational model to predict changes in MMSE scores 24-months after initial assessment of Alzheimer’s disease
F Zhu, B Panwar, HH Dodge, H Li, BM Hampstead, RL Albin, HL Paulson, ...
Scientific reports 6, 34567, 2016
Prediction of uridine modifications in tRNA sequences
B Panwar, GPS Raghava
BMC bioinformatics 15 (1), 326, 2014
Reduced expression of phosphatase PTPN2 promotes pathogenic conversion of Tregs in autoimmunity
MND Svensson, KM Doody, BJ Schmiedel, S Bhattacharyya, B Panwar, ...
The Journal of clinical investigation 129 (3), 1193-1210, 2019
Accurate prediction of personalized olfactory perception from large-scale chemoinformatic features
H Li, B Panwar, GS Omenn, Y Guan
GigaScience 7 (2), gix127, 2018
Prediction and classification of aminoacyl tRNA synthetases using PROSITE domains
B Panwar, GPS Raghava
BMC genomics 11 (1), 507, 2010
Computational inferences of the functions of alternative/noncanonical splice isoforms specific to HER2+/ER–/PR–breast cancers, a chromosome 17 C-HPP study
R Menon, B Panwar, R Eksi, C Kleer, Y Guan, GS Omenn
Journal of proteome research 14 (9), 3519-3529, 2015
Identification of protein-interacting nucleotides in a RNA sequence using composition profile of tri-nucleotides
B Panwar, GPS Raghava
Genomics 105 (4), 197-203, 2015
Predicting sub-cellular localization of tRNA synthetases from their primary structures
B Panwar, GPS Raghava
Amino Acids 42 (5), 1703-1713, 2012
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