| Change-O: a toolkit for analyzing large-scale B cell immunoglobulin repertoire sequencing data NT Gupta, JA Vander Heiden, M Uduman, D Gadala-Maria, G Yaari, ... Bioinformatics 31 (20), 3356-3358, 2015 | 928 | 2015 |
| Germinal center B cell and T follicular helper cell development initiates in the interfollicular zone SM Kerfoot, G Yaari, JR Patel, KL Johnson, DG Gonzalez, SH Kleinstein, ... Immunity 34 (6), 947-960, 2011 | 616 | 2011 |
| pRESTO: a toolkit for processing high-throughput sequencing raw reads of lymphocyte receptor repertoires JA Vander Heiden, G Yaari, M Uduman, JNH Stern, KC O’connor, ... Bioinformatics 30 (13), 1930-1932, 2014 | 535 | 2014 |
| B cells populating the multiple sclerosis brain mature in the draining cervical lymph nodes JNH Stern, G Yaari, JA Vander Heiden, G Church, WF Donahue, ... Science translational medicine 6 (248), 248ra107-248ra107, 2014 | 527 | 2014 |
| Practical guidelines for B-cell receptor repertoire sequencing analysis G Yaari, SH Kleinstein Genome medicine 7 (1), 121, 2015 | 301 | 2015 |
| Models of somatic hypermutation targeting and substitution based on synonymous mutations from high-throughput immunoglobulin sequencing data G Yaari, JA Vander Heiden, M Uduman, D Gadala-Maria, N Gupta, ... Frontiers in immunology 4, 358, 2013 | 283 | 2013 |
| The effects of somatic hypermutation on neutralization and binding in the PGT121 family of broadly neutralizing HIV antibodies D Sok, U Laserson, J Laserson, Y Liu, F Vigneault, JP Julien, B Briney, ... PLoS pathogens 9 (11), e1003754, 2013 | 262 | 2013 |
| Quantitative set analysis for gene expression: a method to quantify gene set differential expression including gene-gene correlations G Yaari, CR Bolen, J Thakar, SH Kleinstein Nucleic acids research 41 (18), e170-e170, 2013 | 249 | 2013 |
| Automated analysis of high-throughput B-cell sequencing data reveals a high frequency of novel immunoglobulin V gene segment alleles D Gadala-Maria, G Yaari, M Uduman, SH Kleinstein Proceedings of the National Academy of Sciences 112 (8), E862-E870, 2015 | 243 | 2015 |
| Quantifying selection in high-throughput Immunoglobulin sequencing data sets G Yaari, M Uduman, SH Kleinstein Nucleic acids research 40 (17), e134-e134, 2012 | 238 | 2012 |
| High-resolution antibody dynamics of vaccine-induced immune responses U Laserson, F Vigneault, D Gadala-Maria, G Yaari, M Uduman, ... Proceedings of the National Academy of Sciences 111 (13), 4928-4933, 2014 | 214 | 2014 |
| Hepatitis C virus leaves an epigenetic signature post cure of infection by direct-acting antivirals S Perez, A Kaspi, T Domovitz, A Davidovich, A Lavi-Itzkovitz, T Meirson, ... PLoS genetics 15 (6), e1008181, 2019 | 171 | 2019 |
| Tumor-reactive antibodies evolve from non-binding and autoreactive precursors RD Mazor, N Nathan, A Gilboa, L Stoler-Barak, L Moss, I Solomonov, ... Cell 185 (7), 1208-1222. e21, 2022 | 147 | 2022 |
| Fast image-guided stratification using anti-programmed death ligand 1 gold nanoparticles for cancer immunotherapy R Meir, K Shamalov, T Sadan, M Motiei, G Yaari, CJ Cohen, R Popovtzer ACS nano 11 (11), 11127-11134, 2017 | 134 | 2017 |
| Mosaic deletion patterns of the human antibody heavy chain gene locus shown by Bayesian haplotyping M Gidoni, O Snir, A Peres, P Polak, I Lindeman, I Mikocziova, VK Sarna, ... Nature communications 10 (1), 628, 2019 | 115 | 2019 |
| Detecting selection in immunoglobulin sequences M Uduman, G Yaari, U Hershberg, JA Stern, MJ Shlomchik, SH Kleinstein Nucleic acids research 39 (suppl_2), W499-W504, 2011 | 110 | 2011 |
| The immune cell infiltrate populating meningiomas is composed of mature, antigen-experienced T and B cells L Fang, DE Lowther, ML Meizlish, RCE Anderson, JN Bruce, L Devine, ... Neuro-oncology 15 (11), 1479-1490, 2013 | 106 | 2013 |
| The hot (invisible?) hand: can time sequence patterns of success/failure in sports be modeled as repeated random independent trials? G Yaari, S Eisenmann PloS one 6 (10), e24532, 2011 | 99 | 2011 |
| Mining adaptive immune receptor repertoires for biological and clinical information using machine learning V Greiff, G Yaari, LG Cowell Current Opinion in Systems Biology 24, 109-119, 2020 | 94 | 2020 |
| The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires M Pavlović, L Scheffer, K Motwani, C Kanduri, R Kompova, N Vazov, ... Nature Machine Intelligence 3 (11), 936-944, 2021 | 92 | 2021 |
Steven H. KleinsteinProfessor, Departments of Pathology and Immunobiology, Yale School of MedicineVerified email at yale.edu
