Inferring the effectiveness of government interventions against COVID-19 JM Brauner, S Mindermann, M Sharma, D Johnston, J Salvatier, ... Science 371 (6531), eabd9338, 2021 | 990 | 2021 |
A standardised method for interpreting the association between mutations and phenotypic drug resistance in Mycobacterium tuberculosis P Miotto, B Tessema, E Tagliani, L Chindelevitch, AM Starks, C Emerson, ... European Respiratory Journal 50 (6), 2017 | 355 | 2017 |
Health benefits, costs, and cost-effectiveness of earlier eligibility for adult antiretroviral therapy and expanded treatment coverage: a combined analysis of 12 mathematical … JW Eaton, NA Menzies, J Stover, V Cambiano, L Chindelevitch, A Cori, ... The Lancet Global Health 2 (1), e23-e34, 2014 | 241 | 2014 |
Understanding the effectiveness of government interventions against the resurgence of COVID-19 in Europe M Sharma, S Mindermann, C Rogers-Smith, G Leech, B Snodin, J Ahuja, ... Nature communications 12 (1), 5820, 2021 | 221 | 2021 |
The 2021 WHO catalogue of Mycobacterium tuberculosis complex mutations associated with drug resistance: a genotypic analysis TM Walker, P Miotto, CU Köser, PW Fowler, J Knaggs, Z Iqbal, M Hunt, ... The Lancet Microbe 3 (4), e265-e273, 2022 | 151 | 2022 |
Causal reasoning on biological networks: interpreting transcriptional changes L Chindelevitch, D Ziemek, A Enayetallah, R Randhawa, B Sidders, ... Bioinformatics 28 (8), 1114-1121, 2012 | 148 | 2012 |
Guideline: delayed umbilical cord clamping for improved maternal and infant health and nutrition outcomes WHO Guidelines Approved by the Guidelines Review Committee Geneva: World Health Organization Copyright, 2014 | 106 | 2014 |
The effectiveness and perceived burden of nonpharmaceutical interventions against COVID-19 transmission: a modelling study with 41 countries JM Brauner, S Mindermann, M Sharma, AB Stephenson, T Gavenčiak, ... MedRxiv, 2020.05. 28.20116129, 2020 | 83 | 2020 |
Optimizing a global alignment of protein interaction networks L Chindelevitch, CY Ma, CS Liao, B Berger Bioinformatics 29 (21), 2765-2773, 2013 | 82 | 2013 |
Integrating standardized whole genome sequence analysis with a global Mycobacterium tuberculosis antibiotic resistance knowledgebase M Ezewudo, A Borens, Á Chiner-Oms, P Miotto, L Chindelevitch, ... Scientific reports 8 (1), 15382, 2018 | 81 | 2018 |
Local optimization for global alignment of protein interaction networks L Chindelevitch, CS Liao, B Berger Biocomputing 2010, 123-132, 2010 | 68 | 2010 |
MentaLiST–A fast MLST caller for large MLST schemes P Feijao, HT Yao, D Fornika, J Gardy, W Hsiao, C Chauve, ... Microbial genomics 4 (2), e000146, 2018 | 64 | 2018 |
Within-Host Heterogeneity of Mycobacterium tuberculosis Infection Is Associated With Poor Early Treatment Response: A Prospective Cohort Study T Cohen, L Chindelevitch, R Misra, ME Kempner, J Galea, P Moodley, ... The Journal of infectious diseases 213 (11), 1796-1799, 2016 | 54 | 2016 |
An exact arithmetic toolbox for a consistent and reproducible structural analysis of metabolic network models L Chindelevitch, J Trigg, A Regev, B Berger Nature communications 5 (1), 4893, 2014 | 53 | 2014 |
The potential effects of changing HIV treatment policy on tuberculosis outcomes in South Africa: results from three tuberculosis-HIV transmission models C Pretorius, NA Menzies, L Chindelevitch, T Cohen, A Cori, JW Eaton, ... Aids 28, S25-S34, 2014 | 52 | 2014 |
MetaMerge: scaling up genome-scale metabolic reconstructions with application to Mycobacterium tuberculosis L Chindelevitch, S Stanley, D Hung, A Regev, B Berger Genome biology 13, 1-13, 2012 | 42 | 2012 |
The integrated rapid infectious disease analysis (IRIDA) platform TC Matthews, FR Bristow, EJ Griffiths, A Petkau, J Adam, D Dooley, ... BioRxiv, 381830, 2018 | 41 | 2018 |
Inverting the Viterbi algorithm: an abstract framework for structure design M Schnall-Levin, L Chindelevitch, B Berger Proceedings of the 25th international conference on Machine learning, 904-911, 2008 | 40 | 2008 |
On the inference of parsimonious indel evolutionary scenarios L Chindelevitch, Z Li, E Blais, M Blanchette Journal of Bioinformatics and Computational Biology 4 (03), 721-744, 2006 | 37 | 2006 |
Relatedness of the incidence decay with exponential adjustment (IDEA) model,“Farr's law” and SIR compartmental difference equation models M Santillana, A Tuite, T Nasserie, P Fine, D Champredon, L Chindelevitch, ... Infectious disease modelling 3, 1-12, 2018 | 27 | 2018 |