| Single-cell epigenomic analyses implicate candidate causal variants at inherited risk loci for Alzheimer’s and Parkinson’s diseases MR Corces, A Shcherbina, S Kundu, MJ Gloudemans, L Frésard, ... Nature genetics 52 (11), 1158-1168, 2020 | 299 | 2020 |
| Single-nucleus chromatin accessibility profiling highlights regulatory mechanisms of coronary artery disease risk AW Turner, SS Hu, JV Mosquera, WF Ma, CJ Hodonsky, D Wong, ... Nature genetics 54 (6), 804-816, 2022 | 85 | 2022 |
| RANGER-DTL 2.0: rigorous reconstruction of gene-family evolution by duplication, transfer and loss MS Bansal, M Kellis, M Kordi, S Kundu Bioinformatics 34 (18), 3214-3216, 2018 | 83 | 2018 |
| Beyond the exome: what’s next in diagnostic testing for Mendelian conditions MH Wojcik, CM Reuter, S Marwaha, M Mahmoud, MH Duyzend, ... The American Journal of Human Genetics 110 (8), 1229-1248, 2023 | 60 | 2023 |
| Integrative single-cell analysis of cardiogenesis identifies developmental trajectories and non-coding mutations in congenital heart disease M Ameen, L Sundaram, M Shen, A Banerjee, S Kundu, S Nair, ... Cell 185 (26), 4937-4953. e23, 2022 | 54 | 2022 |
| Single-cell multi-cohort dissection of the schizophrenia transcriptome WB Ruzicka, S Mohammadi, JF Fullard, J Davila-Velderrain, S Subburaju, ... Science 384 (6698), eadg5136, 2024 | 34 | 2024 |
| SaGePhy: an improved phylogenetic simulation framework for gene and subgene evolution S Kundu, MS Bansal Bioinformatics 35 (18), 3496-3498, 2019 | 29 | 2019 |
| Assessing the accuracy of phylogenetic rooting methods on prokaryotic gene families T Wade, LT Rangel, S Kundu, GP Fournier, MS Bansal PloS one 15 (5), e0232950, 2020 | 27 | 2020 |
| Bias factorized, base-resolution deep learning models of chromatin accessibility reveal cis-regulatory sequence syntax, transcription factor footprints and regulatory variants A Pampari, A Shcherbina, S Nair, J Schreiber, A Patel, A Wang, S Kundu, ... Manuscript in preparation, 2023 | 18 | 2023 |
| On the impact of uncertain gene tree rooting on duplication-transfer-loss reconciliation S Kundu, MS Bansal BMC bioinformatics 19, 21-31, 2018 | 18 | 2018 |
| On inferring additive and replacing horizontal gene transfers through phylogenetic reconciliation M Kordi, S Kundu, MS Bansal Proceedings of the 10th ACM International Conference on Bioinformatics …, 2019 | 12 | 2019 |
| Transcriptomics and chromatin accessibility in multiple African population samples MK DeGorter, PC Goddard, E Karakoc, S Kundu, SM Yan, D Nachun, ... bioRxiv, 2023 | 5 | 2023 |
| Considerations for reporting variants in novel candidate genes identified during clinical genomic testing JX Chong, SI Berger, S Baxter, E Smith, C Xiao, DG Calame, MH Hawley, ... Genetics in Medicine 26 (10), 101199, 2024 | 2 | 2024 |
| Detection and analysis of complex structural variation in human genomes across populations and in brains of donors with psychiatric disorders B Zhou, JG Arthur, H Guo, T Kim, Y Huang, R Pattni, T Wang, S Kundu, ... Cell 187 (23), 6687-6706. e25, 2024 | 1 | 2024 |
| CXCL12 drives natural variation in coronary artery anatomy across diverse populations PER Coronado, D Zanetti, J Zhou, JA Naftaly, P Prabala, AMM Jaimes, ... medRxiv, 2023.10. 27.23297507, 2024 | | 2024 |
| Direct induction of human neurons from fibroblasts carrying the neuropsychiatric 22q11. 2 microdeletion reveals transcriptome-and epigenome-wide alterations C Purmann, CE Ang, K Tanabe, Y Zhang, S Kundu, T Danko, S Ma, ... bioRxiv, 2021.10. 14.464344, 2021 | | 2021 |
