Call for Papers: Genome Informatics Workshop 2012
December 12-14, 2012 Tainan, Taiwan
Paper submission deadline: July 15, 2012
Genome Informatics Workshop (GIW) is the longest running international bioinformatics conference in the world. The scope includes all works that are ultimately devoted to the computational understanding of biological systems on the molecular basis and the aims are to present recent results of both theoretical and practical research, to demonstrate biological systems, and to show new applications and directions of future research. The first GIW was held at Tokyo in 1990. Since then, GIW has been held annually around the countries in Asia-Pacific region. This year's GIW is the 23rd anniversary and will be held at Tainan in Taiwan. The purpose of GIW2012 is to provide an international forum for scientists and researchers to exchange ideas and approaches.
National Cheng Kung University and Taiwan Society for Bioinformatics and Systems Biology (TSBSB) are honored to host the GIW2012. We are delighted to give you a warm welcome to Tainan in Taiwan.
Papers in all areas related to works that are ultimately devoted to the computational understanding of biological systems on a molecular basis will be considered. The aims of the conference are to present recent results of both theoretical and practical research, to show new applications, to demonstrate systems, and to indicate directions of future research. Authors can choose to submit full paper or poster that focuses on bioinformatics and computational biology, but not limited to the following areas:
-Genome-wide Association Study
-Gene Expression Analysis
-Genomic Database
-Sequence Analysis
-Functional Genomics
-Next-generation Sequencing
-Structural Genomics
-Simulation of Biological System
-Biomarker Identification and Drug Discovery
-Biological Network Reconstruction and Analysis
-Protein Interaction Networks
-Biological Databases
-Protein Structure and Function Prediction
-Medical and Biomedical Informatics
-Knowledge Extraction from Literature
-Modeling of Biological Systems
-Knowledge Discovery and Data Mining
-Bio-data Visualization
-Gene Regulatory Networks
-Comparative Genomics





