Algorithms

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

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.

Use of estimated evolutionary strength at the codon level improves the prediction of disease-related protein mutations in humans.

Capriotti E, Arbiza L, Casadio R, Dopazo J, Dopazo H, Marti-Renom MA. Use of estimated evolutionary strength at the codon level improves the prediction of disease-related protein mutations in humans. Hum Mutat. 2008;29(1):198-204. doi:10.1002/humu.20628.

Serial Expression Analysis: a web tool for the analysis of serial gene expression data.

Nueda MJosé, Carbonell J, Medina I, Dopazo J, Conesa A. Serial Expression Analysis: a web tool for the analysis of serial gene expression data. Nucleic Acids Res. 2010;38(Web Server issue):W239-45. doi:10.1093/nar/gkq488.

Functional analysis of multiple genomic signatures demonstrates that classification algorithms choose phenotype-related genes.

Shi W, Bessarabova M, Dosymbekov D, et al. Functional analysis of multiple genomic signatures demonstrates that classification algorithms choose phenotype-related genes. Pharmacogenomics J. 2010;10(4):310-23. doi:10.1038/tpj.2010.35.