Advances in high‐throughput technologies such as DNA sequencing and mass spectrometry are profoundly transforming life sciences, resulting in the collection of unprecedented amounts of biological and medical data. Using this data to advance our knowledge about fundamental biological processes and improve human health requires novel computational models and advanced analysis algorithms. IEEE ICCABS aims to bring together leading academic and industry researchers to discuss the latest advances in computational methods for bio and medical sciences.

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 analysis
• Computational metabolomics
     Metabolomics databases, metabolite identification, spectral analysis, metabolic network modeling
• Computational proteomics
     Peptide identification and quantification, posttranslational modifications, protein‐protein interactions
• Databases and ontologies
     Biomedical data warehouses, database integration, biomedical ontologies and semantic web services
• Gene regulation
     Regulatory motifs and modules, posttranscriptional 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 simulators
• 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, multiscale modeling, biological networks, synthetic biology
• Transcriptomics
     Microarray and sequencing‐based transcriptome profiling, novel transcript discovery, alternative splicing, non‐coding RNA analysis

Call For Papers

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Call for Workshop Proposals

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