Advances in technologies such as high-throughput and single-cell sequencing are profoundly transforming life sciences and public health, 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. ICCABS aims to bring together leading academic and industry researchers to discuss the latest advances in computational methods for bio and medical sciences.

Submission Guidelines

Authors are invited to electronically submit extended abstracts in PDF in easy chair: https://easychair.org/conferences/?conf=iccabs2023 

Extended abstracts will be published in Lecture Notes in Bioinformatics (pending approval). Selected submissions will be invited to special issues of the Journal of Computational Biology (JCB) or Transactions on Computational Biology and Bioinformatics (TCBB) dedicated to the conference.

List of Topics

Topics of interest include but are not limited to: 

• Biological Big Data Analytics
• 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, post-translational modifications, protein-protein interactions)
• Databases and ontologies (Biomedical data warehouses, database integration, biomedical ontologies and semantic web services)
• Data Integration (Records linkage and the integration of biological data)
• 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 simulators)
• Microbial Data Analysis (The role of microbiomes in determining phenotypes)
• 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).

In addition, the conference will include special workshops on Computational Advances in Next-Generation Sequencing (CANGS), Computational Advances in Molecular Epidemiology (CAME), Computational Advances for Single-Cell Omics Data Analysis (CASCODA) and Advances in Systems Immunology (ASI). The workshops are by invitation only. If you would like to inquire about the possibility of being invited, please contact the workshop chairs as soon as possible, but no later than November 30, 2023.

Organizers

• Marmar Moussa - University of Oklahoma (General Chair)
• Pavel Skums - University of Connecticut (Program Chair)
• Sharma V. Thankachan - North Carolina State University (Program Chair)
• Ion Mandoiu - University of Connecticut
• Alexander Zelikovsky - Georgia State University

Steering Committee

• Sanguthevar Rajasekaran - University of Connecticut (Chair)
• Srinivas Aluru - Georgia Institute of Technology
• Reda A. Ammar - University of Connecticut
• Tao Jiang - University of California, Riverside
• Vipin Kumar - University of Minnesota
• Ming Li - University of Waterloo
• John Reif - Duke University
• Sartaj Sahni - University of Florida

Publication

Authors are invited to electronically submit extended abstracts in PDF in easy chair: https://easychair.org/conferences/?conf=iccabs2023 

Track 1: Extended abstracts to be published in Lecture Notes in Bioinformatics. Submissions should be prepared using the Springer LNBI templates and guidelines, and should not exceed 12 pages. Selected submissions will be invited to special issues of the Journal of Computational Biology (JCB) or Transactions on Computational Biology and Bioinformatics (TCBB) dedicated to the conference.

Track 2: Posters. Submissions should not exceed 2 pages.

Track 3: Highlight talks. Submissions may include previously published or currently submitted results. Submissions should not exceed 2 pages. 

A limited number of student awards will be made to cover registration fees (conditional upon NSF support). 

Venue

The conference will be held in Oklahoma Memorial Union, Norman Campus, Oklahoma University

Contact

All questions about submissions should be emailed to Marmar Moussa (General Chair) - marmar.moussa@ou.edu