| The CRAPome: a contaminant repository for affinity purification–mass spectrometry data D Mellacheruvu, Z Wright, AL Couzens, JP Lambert, NA St-Denis, T Li, ... Nature methods 10 (8), 730-736, 2013 | 1133 | 2013 |
| A global protein kinase and phosphatase interaction network in yeast A Breitkreutz, H Choi, JR Sharom, L Boucher, V Neduva, B Larsen, ZY Lin, ... Science 328 (5981), 1043-1046, 2010 | 698 | 2010 |
| Moving beyond P values: data analysis with estimation graphics J Ho, T Tumkaya, S Aryal, H Choi, A Claridge-Chang Nature methods 16 (7), 565-566, 2019 | 627 | 2019 |
| SAINT: probabilistic scoring of affinity purification–mass spectrometry data H Choi, B Larsen, ZY Lin, A Breitkreutz, D Mellacheruvu, D Fermin, ZS Qin, ... Nature methods 8 (1), 70-73, 2011 | 611 | 2011 |
| DIA-Umpire: comprehensive computational framework for data-independent acquisition proteomics CC Tsou, D Avtonomov, B Larsen, M Tucholska, H Choi, AC Gingras, ... Nature methods 12 (3), 258-264, 2015 | 425 | 2015 |
| Significance analysis of spectral count data in label-free shotgun proteomics H Choi, D Fermin, AI Nesvizhskii Molecular & cellular proteomics 7 (12), 2373-2385, 2008 | 391 | 2008 |
| Protein interaction network of the mammalian Hippo pathway reveals mechanisms of kinase-phosphatase interactions AL Couzens, JDR Knight, MJ Kean, G Teo, A Weiss, WH Dunham, ZY Lin, ... Science signaling 6 (302), rs15-rs15, 2013 | 363 | 2013 |
| SAINTexpress: improvements and additional features in Significance Analysis of INTeractome software G Teo, G Liu, J Zhang, AI Nesvizhskii, AC Gingras, H Choi Journal of proteomics 100, 37-43, 2014 | 346 | 2014 |
| A quantitative chaperone interaction network reveals the architecture of cellular protein homeostasis pathways M Taipale, G Tucker, J Peng, I Krykbaeva, ZY Lin, B Larsen, H Choi, ... Cell 158 (2), 434-448, 2014 | 324 | 2014 |
| False discovery rates and related statistical concepts in mass spectrometry-based proteomics H Choi, AI Nesvizhskii Journal of proteome research 7 (01), 47-50, 2008 | 235 | 2008 |
| Proteomic Analysis of Trypanosoma cruzi Secretome: Characterization of Two Populations of Extracellular Vesicles and Soluble Proteins E Bayer-Santos, C Aguilar-Bonavides, SP Rodrigues, EM Cordero, ... Journal of proteome research 12 (2), 883-897, 2013 | 206 | 2013 |
| Semisupervised model-based validation of peptide identifications in mass spectrometry-based proteomics H Choi, AI Nesvizhskii Journal of proteome research 7 (01), 254-265, 2008 | 148 | 2008 |
| Differential dynamics of the mammalian mRNA and protein expression response to misfolding stress Z Cheng, G Teo, S Krueger, TM Rock, HWL Koh, H Choi, C Vogel Molecular systems biology 12 (1), 855, 2016 | 130 | 2016 |
| Statistical validation of peptide identifications in large-scale proteomics using the target-decoy database search strategy and flexible mixture modeling H Choi, D Ghosh, AI Nesvizhskii Journal of proteome research 7 (01), 286-292, 2008 | 124 | 2008 |
| Analyzing protein‐protein interactions from affinity purification‐mass spectrometry data with SAINT H Choi, G Liu, D Mellacheruvu, M Tyers, AC Gingras, AI Nesvizhskii Current protocols in bioinformatics 39 (1), 8.15. 1-8.15. 23, 2012 | 116 | 2012 |
| Gene essentiality is a quantitative property linked to cellular evolvability G Liu, MYJ Yong, M Yurieva, KG Srinivasan, J Liu, JSY Lim, M Poidinger, ... Cell 163 (6), 1388-1399, 2015 | 114 | 2015 |
| mapDIA: Preprocessing and statistical analysis of quantitative proteomics data from data independent acquisition mass spectrometry G Teo, S Kim, CC Tsou, B Collins, AC Gingras, AI Nesvizhskii, H Choi Journal of proteomics 129, 108-120, 2015 | 104 | 2015 |
| MSblender: A probabilistic approach for integrating peptide identifications from multiple database search engines T Kwon, H Choi, C Vogel, AI Nesvizhskii, EM Marcotte Journal of proteome research 10 (7), 2949-2958, 2011 | 88 | 2011 |
| ProHits-viz: a suite of web tools for visualizing interaction proteomics data JDR Knight, H Choi, GD Gupta, L Pelletier, B Raught, AI Nesvizhskii, ... Nature methods 14 (7), 645-646, 2017 | 86 | 2017 |
| Metabolic signatures and risk of type 2 diabetes in a Chinese population: an untargeted metabolomics study using both LC-MS and GC-MS Y Lu, Y Wang, CN Ong, T Subramaniam, HW Choi, JM Yuan, WP Koh, ... Diabetologia 59 (11), 2349-2359, 2016 | 81 | 2016 |
Alexey NesvizhskiiGodfrey D. Stobbe Professor of Bioinformatics @ University of MichiganVerified email at umich.edu
