The Genomics of Gene Expression Lab of the the Bioinformatics Department at the Centro de Investigación Príncipe Felipe develops statistical and bioinformatics tools for the analysis and understanding of genome-wide gene expression data.
Our research focusses on the dynamics and functional aspects of gene expression on the genome scale. We have developed user-friendly biosoftware and data repositories for the functional annotation of novel sequence data and data-mining on annotation data. We develop statistical approaches for the analysis of multifactorial and time-course gene expression data, focussing on their integration with functional and phenotipic data. Currently, we use Next Generation Sequencing methodologies to analyze the relationship between gene expression and genomics features. We strive to generate user-friendly tools that can routinely be use in experimental labs. Click below to learn more about our research lines
Functional annotation
Time-Course Analysis and Data Integration
RNASeq
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