[班代]3/12統計所專題演講

[smallvc (TMD)]

              交通大學、清華大學

                 統計學研究所

                   專題演講


題　目：以網路生物學策略來解析生物醫學的複雜問題

主講人：林仲彥博士 (中央研究院資訊科學研究所)

時　間：99年3月12日(星期五)上午10:40-11:30

      (上午10:20-10:40茶會於交大統計所429室舉行)

地　點：交大綜合一館427室


Abstract


   In past few years, our team put focus on following fields via IT
innovations to decipher biological secrets hidden inside complex phenomena.
We have implemented a statistical model into our protein interaction database
for validation of two-hybrid assays of Helicobacter pylori, and prediction of
putative protein interactions not yet discovered experimentally. By this
approach, we can compare the interacting network of various strains with
different virulence to decipher the secret between hosts and pathogens
(http://dpi.nhri.org.tw/hp/, Bioinformatics 2005). Using the more
sophisticated statistical method with expression profile, we integrated a
database named as flydpi for the interactome of Drosophila Melanogaster
(http://flydpi.nhri.org.tw, BMC Bioinfo, 2006). Based on the evolutionary
strategy, the predicted human protein-protein interactions associated with
confidence scores are derived from six eukaryotic organisms – rat, mouse,
fly, worm, Arabidopsis and baker's yeast (BMC Bioinformatics, 2007). And we
also constructed a topological analyzer for complex network named as Hubba –
Hubba (http://hubba.iis.sinica.edu.tw, NAR, 2008) to identify the essential
nodes and the relationships among them. Moreover, the platform for network
comparison will be completed soon to assist us for telling the conserved
network motifs inside various networks. Objectives of our work are to improve
our understanding of the puzzle during development stage, carcinogenesis and
infectious mechanism, and to furthermore introduce a new paradigm for the
diagnosis and treatment of human disease to revolutionize current medical
services delivered.

                   敬 請 公 佈  歡 迎 參 加

--
※ 發信站: 批踢踢實業坊(ptt.cc) 
◆ From: 140.113.114.213
→ newH2O      :推班代