[BiO BB] Call for Papers: IEEE ITCC Track: IT in Bioinformatics and Biomedical Computing

[Sumeet Dua]

Apologies for cross-posting
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Call for Papers

IEEE ITCC 2004: IEEE International Conference on Information
Technology: Coding and Computing

Special Track on:

INFORMATION TECHNOLOGY IN BIOINFORMATICS AND BIOMEDICAL COMPUTING

The Orleans, Las Vegas, NV, April 5 -7, 2004
Sponsored by IEEE Computer Society

Submission deadline: November 21, 2003.

Track Homepage: http://www.latech.edu/~sdua/itcc2004/

Context and Objectives:
Biology and Biomedicine have become increasingly data-driven sciences.
The researchers in this area are producing vast quantities of data
daily from sources such as clinical trials, statistics, population
genetics, imaging, gene sequencing, gene expression analysis, and
protein identification projects. These data enable the creation of
enormous digital libraries. This data is unique in the sense that it
combines enormity with fine granularity. The rate of accumulation of
this data has far exceeded our capacity to analyze it and discover
novel and significant knowledge embedded in it using non-automated
means. This has led to the evolution of a new-fangled area of
multi-disciplinary research, termed Bioinformatics, defined as the
science of storing, extracting, organizing, analyzing, interpreting
and utilizing information from biological sequences and molecules.
Biomedical Informatics deals with algorithms and routines that have
general applicability and that form the basis for the evolving
information technology research in biomedical sciences and related
disciplines.  This track focuses on the techniques and methodologies
which give rise to design and development of information technology
routines for applications in Bioinformatics and/or Biomedical
Informatics.

The topics of interest include, but are not limited to the following:

Bioinformatics:
- Algorithms for Microarray Analysis
- Computational Protein Structure prediction and Analysis
- Data Mining for Bioinformatics applications
- Functional Genomics
- High Performance Computing
- Machine learning
- Pathways, Networks, Systems Biology
- Pattern Recognition and Sequence Alignment
- Regulatory Networks
- String and graph algorithms for Bioinformatics

Biomedical Computing:
- Mining biomedical databases
- Heterogeneous Data Integration
- Storage and access structures for biomedical data
- Biological and biomedical data modeling
- Information Retrieval from Biomedical data Sources
- Scientific Visualization
- Automated text categorization and authority determination
- Mining techniques for emerging imaging types


Publication:
All submitted papers will be reviewed on the basis of technical
quality, relevance, significance and clarity. Authors should submit
original, unpublished papers containing contributions of theoretical
or experimental nature. Papers will be published in ITCC 2004
Conference Proceedings. Selected papers will be considered for Journal
publication.

Submit your papers (up to 8 pages, in the IEEE Proceedings format)
electronically through
http://www.softconf.com/start/ITCC2004/submit.html

Further help on submission is available at
http://www.ee.unlv.edu/~it/Files/start/how-to-submit.html

Track co-chairs:
Bioinformatics: Dr. Sumeet Dua (sdua at coes.latech.edu)
Biomedical Computing: Dr. Y. Alp Aslandogan (alp at cse.uta.edu )

Important Deadlines:

November 21, 2003: Paper submission
December 19, 2003: Notification of Acceptance
January 9, 2004:   Camera-ready Copies Due


Dr. Sumeet Dua
Computer Science Program,
Louisiana Tech University
223 Nethken Hall, 600 W. Arizona Avenue,
Ruston, LA 71272
Voice: (318)-257-2830
Fax: (318)-257-4922
Email: sdua at coes.latech.edu
URL: http://www.latech.edu/~sdua

Dr. Y. Alp Aslandogan
Dept. of  Computer Science and Engineering
University of Texas at Arlington
416 Yates St., 306 Nedderman Hall
Arlington, TX 76019-0015
Voice: (817)-272-3334
Fax: (817)-272-3784
Email: alp at cse.uta.edu
URL: http://ranger.uta.edu/~alp