Alvis Brazma

Alvis Brazma

Senior Team Leader, Functional Genomics

PhD in Computer Science, Moscow State University, 1987. Postdoctoral research at New Mexico State University, USA. At EMBL-EBI since 1997.

Tel:+44 (0)1223 494 658 / Fax:+44 (0)1223 494 468

http://www.ebi.ac.uk/~brazma (personal homepage)

Research

Find out about research activity in the Brazma research group

Brazma team

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 is being developed to encompass proteomics and metabolomics data. Together with the Sarkans and Parkinson teams, the Functional Genomics team works on the ArrayExpress Archive of Functional Genomics Data and the BioSamples 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.

Publications

2013

2012

Bioinformatics. Volume 28, Number 24, (2012), p.3169–3177
Nature Reviews Genetics. Volume 14, Number 2, (2012), p.89–99

2011

2010

2009

BMC Bioinformatics. Volume 10, Number Suppl 13, (2009), p.O7

2007

2006

2005

Encyclopedia of Genetics, Genomics, Proteomics and Bioinformatics. (2005),

2004

2003

Tanpakushitsu kakusan koso. Protein, nucleic acid, enzyme. Volume 48, Number 3, (2003), p.280
Tanpakushitsu kakusan koso. Protein, nucleic acid, enzyme. Volume 48, Number 3, (2003), p.280

2002

2001

DNA Microarrays: Gene Expression Applications. (2001), p.105–129

2000

1999

1998

Grammatical Inference. (1998), p.257–270

1996

1995

Computational Learning Theory. (1995), p.392–403

1994

1993

Proceedings of the Fourth Scandinavian Conference on Artificial intelligence–-93. (1993), p.137–146
Proceedings of the sixth annual conference on Computational learning theory. (1993), p.236–242

1991

Baltic Computer Science. (1991), p.156–212