| The cellular basis of loss of smell in 2019-nCoV-infected individuals K Gupta, SK Mohanty, A Mittal, S Kalra, S Kumar, T Mishra, J Ahuja, ... Briefings in bioinformatics 22 (2), 873-881, 2021 | 51 | 2021 |
| Analysis of single-cell transcriptomes links enrichment of olfactory receptors with cancer cell differentiation status and prognosis S Kalra, A Mittal, K Gupta, V Singhal, A Gupta, T Mishra, S Naidu, ... Communications Biology 3 (1), 506, 2020 | 19 | 2020 |
| The molecular basis of loss of smell in 2019-nCoV infected individuals K Gupta, SK Mohanty, S Kalra, A Mittal, T Mishra, J Ahuja, D Sengupta, ... | 14 | 2020 |
| Computational tools and resources for CRISPR/Cas 9 genome editing method RM Yennamalli, VK Garlapati Jaypee University of Information Technology, Solan, HP, 2017 | 10 | 2017 |
| Challenges and possible solutions for decoding extranasal olfactory receptors S Kalra, A Mittal, M Bajoria, T Mishra, S Maryam, D Sengupta, G Ahuja The FEBS Journal 288 (14), 4230-4241, 2021 | 7 | 2021 |
| Machine-OlF-Action: a unified framework for developing and interpreting machine-learning models for chemosensory research A Gupta, M Choudhary, SK Mohanty, A Mittal, K Gupta, A Arya, S Kumar, ... Bioinformatics 37 (12), 1769-1771, 2021 | 5 | 2021 |
| MiR-330-5p and miR-1270 target essential components of RNA polymerase I transcription and exhibit a novel tumor suppressor role in lung adenocarcinoma S Saproo, SS Sarkar, E Gupta, S Chattopadhyay, A Charaya, S Kalra, ... Cancer Gene Therapy 30 (2), 288-301, 2023 | 4 | 2023 |
| Genome-wide gene expression responses to experimental manipulation of Saccharomyces cerevisiae repressor activator protein 1 (Rap1) expression level S Kalra, R Peyser, J Ho, C Babbin, N Bohan, A Cortes, J Erley, M Fatima, ... Genomics 115 (3), 110625, 2023 | 3 | 2023 |
| LEPStr: A database for Mycobacterium leprae short tandem repeats PS Mohanty, D Saikia, S Kalra, F Naaz, AK Bansal, HS Pawar, ... Informatics in Medicine Unlocked 19, 100322, 2020 | 2 | 2020 |
| Structural Bioinformatics and Big Data Analytics: A mini-review PA Srivastava, S Kalra, RM Yennamalli Jaypee University of Information Technology, Solan, HP, 2017 | 1 | 2017 |
| Searching for bacterial plastitrophs in modified Winogradsky columns FA Olabemiwo, C Kunney, R Hsu, C De Palo, T Bashaw, K Kraut, S Ryan, ... Frontiers in Microbiomes 3, 1303112, 2024 | | 2024 |
| EcTracker: Tracking and elucidating ectopic expression leveraging large-scale scRNA-seq studies K Rani, G Ahuja, T Mishra, SK Mohanty, S Kalra, A Mittal, D Sengupta, ... | | 2022 |
| EcTracker: Tracking and elucidating ectopic expression leveraging large-scale scRNA-seq studies V Gautam, A Mittal, S Kalra, SK Mohanty, K Gupta, K Rani, S Naidu, ... Briefings in Bioinformatics 22 (6), bbab237, 2021 | | 2021 |
| Cancersmell: molecular basis of chemosensation in cancer cells S Kalra, G Ahuja IIIT-Delhi, 2020 | | 2020 |
| Modeling and Optimization of Molecular Biosystems to Generate Predictive Models A Bansal, S Kalra, B Banaganapalli, TR Singh Essentials of Bioinformatics, Volume I: Understanding Bioinformatics: Genes …, 2019 | | 2019 |
| Computational Enrichment Analysis and Development of a Web Based Database of Alzheimer’s Associated Human Mitochondrial Genes using Comparative Expression Approach S Kalra, TR Singh Jaypee University of Information Technology, Solan, HP, 2018 | | 2018 |
| MAD: a system level computational enrichment analysis of mitochondria associated genes in Alzheimer’s disease S Kalra, A Bansal, TR Singh, S Waknaghat | | |
Gaurav AhujaAssociate Professor, IIIT-Delhi Verified email at iiitd.ac.in
