Jun Wang, Beijing Genomics Institute

Professor Jun Wang is the Director of the Beijing /Hangzhou Branch at the Beijing Genomics Institute (BGI), as well as guest professor of Aarhus University and University of Southern Denmark . The Bioinformatics Department of Beijing Genomics Institute ( BGI ) was founded by his efforts. It now includes various platforms for genomics, proteomics and computational biology research. In 1999, Jun Wang finished the analysis of a 1% region of human genome. Then he devoted himself to genome analysis, including genome assembly, annotation, expression, genome duplication, comparative genomics, molecular evolution, transcriptional regulation, genome variation analysis, database construction as well as related methodology development such as the s equence assembler (RePS) that masks repeats from the shotgun data and the software (ReAS) for recovery of ancestral sequences for transposable elements in plants etc. He also focuses on interpretation of the problem of large genes and non-coding RNA genes in vertebrate gene annotation. In 2003, Jun Wang was also been involved in the SARS genome analysis and the silkworm genome assembly and analysis in cooperation with Southeast Agricultural University . The Pig Genome Survey Project was also completed with his leading effort at BGI. Recently, he has led a group finishing the chicken genome variation map and the first version of TreeFam project in collaboration with the Sanger Institute . As one of the key authors, he has published t hese analyses in Science, Nature, Nature Review Genetics, PLOS Biology and Genome Research. In his previous life, he got his Ph.D. and B.Sc. from Peking University . Now his main scientific focus is integrative biomedicine . That is to study the biomedicine with an advanced integrative platform focusing on data generating and mining in relation to different kinds of genome wide data from molecular to cellular level, using the computational and molecular biological technologies.

Tentative Title: The unexpectedly large effect of evolutionary 'transients' on genes and polymorphisms.