1st IEEE International Conference on Computational Advances in Bio and Medical Sciences (ICCABS)
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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