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Lab's main publications

2024

Krishna, C., Tervi, A., Saffern, M., Wilson, E. A., Yoo, S. K., Mars, N., Roudko, V., Cho, B. A., Jones, S. E., Vaninov, N., Selvan, M. E., Gümüş, Z. H., FinnGen§, Lenz, T. L., Merad, M., Boffetta, P., Martínez-Jiménez, F., Ollila, H. M., Samstein, R. M., & Chowell, D. (2024). An immunogenetic basis for lung cancer risk. Science (New York, N.Y.), 383(6685), eadi3808. https://doi.org/10.1126/science.adi3808

2023

Martínez-Jiménez F*, Movasati A, Brunner SR, et al. Pan-cancer whole-genome comparison of primary and metastatic solid tumours. Nature. 2023;618(7964):333-341. doi:10.1038/s41586-023-06054-z

Martínez-Jiménez F*^, Priestley P*, Shale C, Baber J, Rozemuller E, Cuppen E. Genetic immune escape landscape in primary and metastatic cancer. Nature Genetics.  2023;55(5):820-831. doi:10.1038/s41588-023-01367-1

2022

Garcia-Prieto CA, Martínez-Jiménez F, Valencia A, Porta-Pardo E. Detection of oncogenic and clinically actionable mutations in cancer genomes critically depends on variant calling tools. Bioinformatics. 2022;38(12):3181-3191. doi:10.1093/bioinformatics/btac306

2021

Muiños F*, Martínez-Jiménez F*, Pich O, Gonzalez-Perez A, Lopez-Bigas N. In silico saturation mutagenesis of cancer genes. Nature. 2021;596(7872):428-432. doi:10.1038/s41586-021-03771-1

2020

Martínez-Jiménez F*, Muiños F, Sentís I,..., Lopez-Bigas N. A compendium of mutational cancer driver genes. Nature Rev Cancer. 2020 Oct;20(10):555-572. doi: 10.1038/s41568-020-0290-x

Martínez-Jiménez F*, Muiños F, López-Arribillaga E, Lopez-Bigas N, Gonzalez-Perez A. Systematic analysis of alterations in the ubiquitin proteolysis system reveals its contribution to driver mutations in cancer. Nature Cancer. 2020 Jan;1(1):122-135. doi: 10.1038/s43018-019-0001-2

<2020

Martínez-Jiménez F*, Overington JP, Al-Lazikani B, Marti-Renom MA^. Rational design of non-resistant targeted cancer therapies. Sci Rep. 2017 Apr 24;7:46632. doi: 10.1038/srep46632.

Martínez-Jiménez F*, Marti-Renom MA^. Ligand-target prediction by structural network biology using nAnnoLyze. PLoS Comput Biol. 2015 Mar 27;11(3):e1004157. doi: 10.1371/journal.pcbi.1004157

Martínez-Jiménez F*, Papadatos G*, Yang L*, ..., Brown JR^, Overington JP^, Marti-Renom MA^ (1/10). Target prediction for an open access set of compounds active against Mycobacterium tuberculosis. PLoS Comput Biol. 2013;9(10):e1003253. doi: 10.1371/journal.pcbi.1003253.

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