International Workshop on

Applications of Machine Learning in Bioinformatics

of

2009 IEEE International Conference on Bioinformatics and Biomedicine

(IEEE BIBM 2009)

http://www.ittc.ku.edu/bioinformatics/BIBM09/home.php

November 1 - 4, 2009, Washington D.C., USA

Machine Learning techniques play an important role in Bioinformatics. As the accomplishment of human genome, techniques that can analyze large amount of data become urgent. Advances in Machine Learning and related techniques have played significant role in this task. This workshop aims to bring together researchers with expertise in machine learning, bioinformatics, and computational biology and provide a platform to the researchers to discuss recent advancements in the area of application of machine learning methods in field of bioinformatics.

Topics of interest include but not limited to:

- Sequence alignment

- Structural motif discovery

- Phylogenetics

- Primary genomic sequence

- Large-scale microarray gene expression data analysis

- Protein structure prediction

- Protein interaction network

- Protein-protein interface

- Biomarker discovery

- Management of genomics and proteomics data

- De novo peptide sequencing and spectral alignment

IMPORTANT DATES:

Full workshop papers submission due: August 10, 2009

Notification of acceptance: September 10, 2009

Camera-ready of accepted papers: October 1, 2007

The BIBM Conference: November 1 - 4, 2009

Program Chairs:

- Chair: Chunmei Liu, Howard University, chunmei@scs.howard.edu

- Co-Chair: Yinglei Song, University of Maryland, ysong@umes.edu

Program Committee Members:

• Dongsheng Che, East Stroudsburg University

• Junfeng Qu, Clayton State University

• Hiroshi Mamitsuka, Kyoto University

• Peng Qiu, Stanford University

• Bernard Chen, University of Central Arkansas          

Workshop Program:

(Nov. 1, 2009, Sunday, 10:15-1:15am, and 5:30pm-7pm; Hotel: Hyatt Conference room: Diplomat/Ambassador Room)