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Genomics

A genomic strategy for precision medicine in rare diseases: integrating customized algorithms into clinical practice.

Submitted by jdopazo on Sun, 03/30/2025 - 12:30
Méndez-Vidal C, Bravo-Gil N, Perez-Florido J, et al. A genomic strategy for precision medicine in rare diseases: integrating customized algorithms into clinical practice. J Transl Med. 2025;23(1):86. doi:10.1186/s12967-025-06069-2.

The integrated genomic surveillance system of Andalusia (SIEGA) provides a One Health regional resource connected with the clinic.

Submitted by jdopazo on Fri, 10/11/2024 - 17:06
Casimiro-Soriguer CS, Perez-Florido J, Robles EA, et al. The integrated genomic surveillance system of Andalusia (SIEGA) provides a One Health regional resource connected with the clinic. Sci Rep. 2024;14(1):19200. doi:10.1038/s41598-024-70107-0.

A versatile workflow to integrate RNA-seq genomic and transcriptomic data into mechanistic models of signaling pathways.

Submitted by jdopazo on Fri, 02/12/2021 - 18:24
Garrido-Rodriguez M, López-López D, Ortuno FM, et al. A versatile workflow to integrate RNA-seq genomic and transcriptomic data into mechanistic models of signaling pathways. PLoS Comput Biol. 2021;17(2):e1008748. doi:10.1371/journal.pcbi.1008748.

Community Assessment of the Predictability of Cancer Protein and Phosphoprotein Levels from Genomics and Transcriptomics.

Submitted by jdopazo on Sun, 07/26/2020 - 12:01
Yang M, Petralia F, Li Z, et al. Community Assessment of the Predictability of Cancer Protein and Phosphoprotein Levels from Genomics and Transcriptomics. Cell Syst. 2020;11(2):186-195.e9. doi:10.1016/j.cels.2020.06.013.

Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen.

Submitted by iguillen on Fri, 07/05/2019 - 14:35
Menden MP, Wang D, Mason MJ, et al. Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen. Nat Commun. 2019;10(1):2674. doi:10.1038/s41467-019-09799-2.

Exploring the druggable space around the Fanconi anemia pathway using machine learning and mechanistic models.

Submitted by iguillen on Fri, 07/05/2019 - 14:25
Esteban-Medina M, Peña-Chilet M, Loucera C, Dopazo J. Exploring the druggable space around the Fanconi anemia pathway using machine learning and mechanistic models. BMC Bioinformatics. 2019;20(1):370. doi:10.1186/s12859-019-2969-0.

FatiGO +: a functional profiling tool for genomic data. Integration of functional annotation, regulatory motifs and interaction data with microarray experiments.

Submitted by iguillen on Thu, 07/04/2019 - 12:46
Al-Shahrour F, Minguez P, Tárraga J, et al. FatiGO +: a functional profiling tool for genomic data. Integration of functional annotation, regulatory motifs and interaction data with microarray experiments. Nucleic Acids Res. 2007;35(Web Server issue):W91-6. doi:10.1093/nar/gkm260.