CFP IEEE ITCC Track: IT in Bioinformatics and Biomedical Computing

Y. Alp Aslandogan alp at cse.uta.edu
Mon Oct 6 03:09:09 EST 2003


Call for Papers 

IEEE ITCC 2004

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 17th, 2003

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 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

The accepted electronic formats are PS, PDF and MS WORD.
Information on the final manuscript submission will be provided 
later.

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:
October 17, 2003Paper submission 
November 14, 2003Notification of Acceptance
December 19, 2003Camera-ready Copies Due



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

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
              





 

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