ECCB 2026 is a broad conference covering the full spectrum of computational biology and bioinformatics. We welcome submissions from all areas of the field. When submitting, please select the scientific area that best matches your work.
The conference programme will be structured around five core scientific areas, each representing a major domain of research:
We encourage submitters to select the scientific area(s) that best reflect the focus of their work. While there is no dedicated “Applications” track, application-oriented contributions are welcome and should be submitted under the area that most closely relates to the work.
Authors will be asked to select one primary and one secondary scientific area to help guide the review process and inform session planning.
This session focuses on computational advances in genome sequencing, annotation, functional genomics, epigenomics, and genome editing technologies like CRISPR. It includes academic research exploring disease genomics, genetic predispositions, and therapeutic targets. Submissions related to imaging applications in genomic studies (e.g., spatial genomics) are also welcome.Keywords: genome sequencing, genome assembly, genome editing (CRISPR/Cas), genetic variation, population genomics, chromatin structure, epigenetic modifications, methylation, genome annotation
This session invites submissions on transcriptomics, gene expression analysis, and regulatory network inference. It emphasizes disease-focused studies, including cancer, precision medicine and other health-related studies. Topics such as spatial transcriptomics, single-cell RNA-seq, and regulatory element analysis are encouraged.Keywords: RNA-seq, transcript quantification, alternative splicing, non-coding RNAs, regulatory elements, enhancers, promoters, transcriptional regulation, gene expression dynamics, eQTLs
This session explores computational methods for protein structure prediction, molecular dynamics, and protein-protein interactions. It includes research on disease-related protein analysis, drug target identification, and structure-based drug design. Applications in synthetic biology and imaging techniques such as cryo-EM and X-ray crystallography are also included. Submissions that integrate computational and experimental approaches to study protein function and dynamics are particularly encouraged.Keywords: protein structure prediction, folding, dynamics, protein-protein interactions, structural bioinformatics, cryo-EM, X-ray crystallography, protein engineering, drug design, proteomics
This session highlights integrative computational approaches that combine multi-omics data (e.g., genomics, transcriptomics, proteomics, metabolomics) to study biological systems. It emphasizes academic research integrating multi-omics data to understand complex diseases, predict therapeutic responses, and model biological processes across scales. Submissions incorporating imaging data into multi-omics models are also welcome.Keywords: systems biology, omics integration, metabolic and signaling pathways, network inference, dynamic modeling, predictive modeling, personalized models, machine learning for multi-omics
This session covers computational approaches to biodiversity conservation, environmental genomics, metagenomics, and microbiome research. It also includes ecosystem modeling and sustainable agriculture. Topics may include species monitoring, climate change adaptation, and bioinformatics tools for environmental imaging, such as satellite and drone data analysis.Keywords: metagenomics, microbiomes, ecological networks, conservation genomics, environmental DNA (eDNA), climate impact studies, sustainable agriculture, ecosystem modeling, bioinformatics for environmental data