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Data mining in large DNA sequences is a major challenge in microbial genomics and bioinformatics. Oligonucleotide usage (OU) patterns provide a multitude of information for large scale sequence analysis and visualization. The purpose of this research was to make OU statistical algorithms available in a novel web-based tool for functional genomics and annotation, also available in a downloadable package.
BioVision Alexandria 2008 Conference Event.
Date: 14/04/2008   Duration: 16:52


Dr Reva graduated from Shevchenko Kiev State University of Ukraine in 1990. He obtained a PhD in Microbiology in 1995 from the Institute of Microbiology and Virology in Kiev, Ukraine. From 2002 to 2004 he did a post-doc in Bioinformatics in the High Medical School of Hanover (Germany). In 2006 Dr. Reva joined the National Bioinformatics Network of South Africa as Node Manager. He is involved in inter- and intra-node communications for the Pretoria National Bioinformatics Network node. Dr Reva's research interests are in development of new biostatistical algorithms and computer programs for genomics and metagenomics.