Biostatistics and Bioinformatics Unit

The Unit provides resources and personnel specialized in the analysis of phenotypegenotype associations, the identification of biomarkers, the analysis of gene expression microarray data, real time PCR analysis, the functional analysis of differential expression results, and those obtained by next  generation sequencing, etc.

A project control web application has been developed for storing and processing data and monitoring samples pertaining to different nutrition research projects. This application, designed by the IMDEA Food Institute and which uses open source software, can store and manage a large volume of phenotype and genotype data. It also holds anthropometric, medical and biochemical data, as well as validated nutritional questionnaires that can be filled in on-line (greatly facilitating data entry). The recruitment process can also be managed using this application.

The entire system dissociates/anonymises all data in keeping with Spanish privacy legislation (Ley Orgánica 15/1999 de 13 de diciembre de Protección de Datos de Carácter Personal). The Unit organizes specialized training courses and collaborates with the postgraduate program of the Universidad Autónoma de Madrid. Heatmap representing the level of expression of the most differentially expressed genes between two experimental conditions.

Members

Dr. Gonzalo Colmenarejo Sánchez
Senior Biostatistician

Roberto Martín Hernández
Bioinformatic, predoctoral researcher

Dr. Gonzalo Colmenarejo Sánchez

                                                 Senior Biostatistician

Gonzalo Colmenarejo got his PhD in the Biophysics area in the Complutense University of Madrid. Then was a postdoctoral researcher in the Chemistry Department of University of California at Berkeley. He joined GlaxoWellcome (later GlaxoSmithKline) R&D center in Tres Cantos, Spain, where he stayed more than 17 years. There he developed multiple statistical and machine learning models to predict biological activity form molecular structure, and was a statistical and data analysis support for a multidisciplinary and international group of biologists, biochemists, medicinal chemists and pharmacologists. He specialized in the massive data analysis of cellular and biochemical high-throughput screens (HTS), and processed more than 100 campaigns of multiple target classes, screening technologies and therapeutic areas, were he increased the number and quality of hits there obtained. He developed new theoretical methods for the prioritization of compounds in HTS campaigns, as well as automated chemical pattern extraction from sets of molecules. He co-leaded the Screening Analytics Investment Area of GlaxoSmithKline, an international team devoted to finding new approaches to the analysis of HTS. He is (co)author of > 30 scientific publications in peer-reviewed journals and book chapters.

Email: gonzalo.colmenarejo@imdea.org 
Phone:  +34 91 727 81 00, ext. 510 

Roberto Martín Hernández

Bioinformatic, predoctoral researcher

Roberto Martín Hernández obtained his Master’s Degree of Science in Biochemistry and Biotechnologies at the Université Paul Sabatier (Toulouse, France). He worked as a trainee scientist at Bayer CropScience division (Lyon, France) developing enzymatic assays for high throughput applications. In March 2008 he joined the Computers Architecture Department of the Universidad Complutense de Madrid (Spain) and started to work in the statistical analysis of biological data generated by high throughput technologies. Afterwards he joined the R&D Department of the bioinformatics startup  integromics (Madrid, Spain), where he continued working on massive data analysis generated by transcriptomics and genomics platforms, and he contributed to the development of professional software packages which are still commercialized.

He joined the IMDEA Food research Institute on May 2012. With an 8 years’ experience in bioinformatics and computational biology, he has co-authored 15 scientific research articles published in international journals. His scientific interests focus on data mining, data integration and deep learning. In addition he is completing the UAM (Madrid) PhD program in Nutrition science as a part-time student. 

Email: roberto.martin@imdea.org
Phone:  +34 91 727 81 00, ext. 510