| High-throughput spatial mapping of single-cell RNA-seq data to tissue of origin K Achim, JB Pettit, LR Saraiva, D Gavriouchkina, T Larsson, D Arendt, ... Nature biotechnology 33 (5), 503-509, 2015 | 474 | 2015 |
| BioModels: ten-year anniversary V Chelliah, N Juty, I Ajmera, R Ali, M Dumousseau, M Glont, M Hucka, ... Nucleic acids research 43 (D1), D542-D548, 2015 | 333 | 2015 |
| SBML Level 3: an extensible format for the exchange and reuse of biological models SM Keating, D Waltemath, M König, F Zhang, A Dräger, C Chaouiya, ... Molecular systems biology 16 (8), e9110, 2020 | 305 | 2020 |
| bioWeb3D: an online webGL 3D data visualisation tool JB Pettit, JC Marioni BMC bioinformatics 14 (1), 185, 2013 | 37 | 2013 |
| The systems biology format converter N Rodriguez, JB Pettit, P Dalle Pezze, L Li, A Henry, MP van Iersel, ... BMC bioinformatics 17 (1), 154, 2016 | 35 | 2016 |
| Identifying cell types from spatially referenced single-cell expression datasets JB Pettit, R Tomer, K Achim, S Richardson, L Azizi, J Marioni PLoS computational biology 10 (9), e1003824, 2014 | 26 | 2014 |
| Spatial transcriptomics: constructing a single-cell resolution transcriptome-wide expression atlas K Achim, HM Vergara, JB Pettit RNA Detection: Methods and Protocols, 111-125, 2018 | 3 | 2018 |
| The System Biology Format Converter G Jalowicki, N Rodriguez, M Kutmon, JB Pettit, L Li, A Henry, ... Nature Precedings, 1-1, 2011 | 1 | 2011 |
John MarioniGenentechVerified email at gene.com
