Functional Genomics Senior Team Leader and Senior Scientist
PhD in Computer Science, Moscow State University, 1987. Postdoctoral research at New Mexico State University, USA. At EMBL-EBI since 1997.
Dr Alvis Brazma oversees the development and services for several major resources, including ArrayExpress, the Gene Expression Atlas and the BioStudies Database. His main research interests concern integrative data analysis to reveal patterns of gene and protein expression in normal and diseased state. He has over 100 scientific publications and is a Principal Investigator on several large collaborative genomics and biomedical projects, including the kidney cancer project of the International Cancer Genome Consortium. Dr Brazma studied mathematics at the University of Latvia, Riga, before obtaining his PhD in computer science from the Moscow State University. He was a lecturer at the University of Latvia and a visiting Researcher at Helsinki University before joining EMBL-EBI in 1997. Dr Brazma was among the first scientists to use microarray data to study gene regulation. In 1999 he founded the Microarray Gene Expression Data society was instrumental in starting ArrayExpress, one of the major international repositories for functional genomics data.
brazma [at] ebi.ac.uk
ORCID iD: 0000-0001-5988-7409
Tel:+44 (0)1223 494 658 / Fax:+44 (0)1223 494 468
http://www.ebi.ac.uk/~brazma (personal homepage)
Led by Dr Alvis Brazma, the Functional Genomics team focuses on providing bioinformatics services and conducting research in gene expression and high-throughput sequencing applications to functional genomics. The team participates in software development related to biomedical informatics and systems microscopy, and is responsible for the Gene Expression Atlas, which encompasses transcriptomics and proteomics. Together with the Sarkans and Petryszak teams, the Functional Genomics team works on the ArrayExpress Archive of Functional Genomics Data, Expression Atlas and the BioStudies Database. Students in the team focus on data analysis and developing new methods and algorithms, integration of data across multiple platforms and types of data. The team is a major contributor to EMBL-EBI's training in transcriptomics and the use of EMBL-EBI tools.