
The 2026 2nd International Symposium on Bioinformatics and Computational Biology (ISBCB 2026) will be held from April 17 to 19, 2026 in Zhengzhou, China. Bioinformatics and Computational Biology, as indispensable components of modern life sciences, have propelled advancements and breakthroughs in the field of biology by integrating knowledge from computer science, mathematics, and statistics. In this information age, the application of bioinformatics has profoundly transformed our understanding of genomics, transcriptomics, proteomics, and other domains, providing powerful tools for personalized medicine, drug design, ecological research, and more. This conference serves as a valuable platform for academic exchange, allowing participants to share their latest research findings in the fields of bioinformatics and computational biology. It provides an opportunity to discuss innovative methods and technologies and collectively address the current challenges in these rapidly evolving disciplines. We anticipate that this exchange will foster interdisciplinary collaboration, inspire new perspectives, and propel the further development of bioinformatics and computational biology. We sincerely invite you to participate in ISBCB 2026 and look forward to seeing you in Zhengzhou! CFP: AI and Machine Learning in Medicine and Healthcare Computational Drug Discovery Sequence Analysis Single cell sequencing Omics Data Integration and Analysis Genomic Variation and Disease Haplotypes and Population Genomics Phylogenetics Protein and RNA Analysis, Structure, and Dynamics Metagenomics and Algorithms for Microbiomes Cancer Genomics Pharmacogenomics Systems Biology Biological Networks and Integrative Analysis Multimodality modeling Imaging Informatics Imaging Genomics and Radiation Genomics Natural Language Processing (NLP) and text mining Large language model (LLM) for healthcare applications Data Integration, Harmonization, and Ontology Computational Phenotyping Automated Diagnosis and Prediction Clinical Databases and Information Systems Data Security and Privacy Knowledge Representation Applications Biomedical and Health Data Visualization Public Health and Population Health Informatics Infectious Disease Networks and Computational Epidemiology Social Network Analysis for Health Applications No-Boundary Thinking in Bioinformatics ...