ASIER GONZALEZ URIARTE
Computational and Analytical Sciences
Asier found a way, in bioinformatics, to combine his passion for computers and his interest in molecular biology. He joined the applied bioinformatics team in September 2015, working on the application of High-Throughput Sequencing (HTS) technologies, genomic methods and bioinformatics resources to disentangle the genetic basis of complex traits in wheat. Asier’s main area of research is functional genomics, with a special focus in experimental design and data analysis of RNA-seq experiments. He is working to determine the best bioinformatics approach to analyse gene expression data. His principal objectives are to assist fellow scientists in the design of powerful and cost-effective transcriptomic experiments and to support them with analysis. In addition, Asier contributes to the maintenance of the local instance of Galaxy and also helps in the delivery of training courses. Asier is also interested in leveraging the latest advances in genomics and molecular biology to enhance agricultural research, which poses bioinformatics and statistical challenges. He is keen to develop his skills in the use of state-of-the-art long-read (PacBio) and single-cell (minION) sequencing technologies and novel sequencing-based assays that can be used to gain insights into modulation of protein production: DNA methylation (methyl-seq), protein-DNA/RNA interactions (ChIP-seq, CLIP-seq) or translation (ribo-seq).
- Designing Future Wheat (DFW)
- 2015 - MSc Applied Bioinformatics, Cranfield University, UK
- 2015 - BSc (Hons) Telecommunications Engineering, University of the Basque Country, Spain