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[PVS] ICCABS'12 Last Call for Posters and Highlights

                    2nd IEEE International Conference on
         Computational Advances in Bio and Medical Sciences (ICCABS)

                    Feb. 23-25, 2012, Las Vegas, Nevada



   Pavel Pevzner - UCSD
   David Sankoff - U. of Ottawa


   Srinivas Aluru, Iowa State U.
   Tanya Berger-Wolf, U. of Illinois
   Vladimir Filkov, UC Davis
   Bjarni V. Halldorsson, Reykjavik U.
   Maricel Kann, U. of Maryland Baltimore County
   Vipin Kumar, U. of Minnesota
   Rachel O'Neill, U. of Connecticut
   Roded Sharan, Tel Aviv U.


   Poster and Highlights submission:  Jan. 27, 2012

   Notification of acceptance:         Feb. 2, 2012

   Camera-ready version of poster abstracts
   and author registration:            Feb. 6, 2012


At this time we accept poster and Highlights submissions.  Each poster 
submission should not exceed 1 page in length. In addition to being displayed, 
each accepted poster will also be allocated a short time for an oral 
presentation.  Each poster title should start with the word "Poster:". Accepted 
abstracts will be published in the IEEE Xplore Digital Library.

The Highlights track is meant for authors to talk about results from previously 
published papers. Each accepted speaker will be given the same amount of time 
as that for a regular paper. Nothing will be published in the proceedings 
corresponding to the Highlights track. Authors are asked to submit a brief 
summary and the importance along with publication details of the paper they 
want to talk about. The title of the summary should start with the word 

Authors are invited to make their submissions electronically in PDF format by 
following the instructions at http://iccabs.org/. Submissions should be 
prepared using IEEE Computer Societys Word/LaTeX templates available at 


Topics of interest include but are not limited to:

* Biological modeling and simulation: Molecular and cellular modeling,
   stochastic and rule-based modeling, modeling languages and systems

* Biomedical image processing: Image segmentation and classification,
   visualization, functional and molecular imaging

* Biomedical data and literature mining: Data integration, knowledge
   discovery from electronic medical records and scientific literature

* Computational genetic epidemiology: Linkage and association analysis,
   gene-gene and gene-environment interaction modeling, genetic risk

* Computational metabolomics: Metabolomics databases, metabolite
   identification, spectral analysis, metabolic network modeling

* Computational proteomics: Peptide identification and quantification,
   post-translational modifications, protein-protein interactions

* Databases and ontologies: Biomedical data warehouses, database
   integration, biomedical ontologies and semantic web services

* Gene regulation: Regulatory motifs and modules, post-transcriptional
   regulation, regulatory networks

* Genome analysis: Genome assembly, genome annotation, comparative
   genomics, metagenomics

* Health Informatics: Medical data management and privacy, medical
   recommender systems, therapy optimization

* High-performance bio-computing: Cloud and grid computing, advanced
   multi-core, GPU, and FPGA biomedical applications

* Immunoinformatics: Epitope prediction, vaccine design, immune system

* Molecular evolution: Models of evolution, reconstruction of
   phylogenetic trees and networks, comparative genomics

* Population genomics: Haplotype and recombination analysis, structural
   genomic variation, signatures of natural selection

* Sequence analysis: Multiple sequence alignment, motif discovery,
   sequence search and clustering

* Structural bioinformatics: RNA and protein structure prediction and
   classification, molecular docking, RNA and protein design

* Systems biology: Systems approaches to molecular biology, multi-scale
   modeling, biological networks, synthetic biology

* Transcriptomics: Microarray and sequencing-based transcriptome
   profiling, novel transcript discovery, alternative splicing,
   non-coding RNA analysis

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