Event List

This practical course provides insight into techniques for transcriptome and proteome analysis, offering hands-on experience turning primary data into information for biological interpretation. Participants will learn about gene expression analysis, protein identification and quantification, and use software tools like SearchGUI, PeptideShaker, MaxQuant, and Cytoscape for data integration.

Audience: researchers postdoctoral_researchers postgraduates

Topics: bioinformatics data_science genomics molecular_biology

This course covers the use of computational tools to extract biological insight from omics datasets. The content will explore a range of approaches – from network inference and data integration to machine learning and logic modelling – that can be used to extract biological insights from varied data types. Together these techniques will provide participants with a useful toolkit for designing new strategies to extract relevant information and understanding from large-scale biological data.

Audience: researchers postdoctoral_researchers postgraduates

Topics: bioinformatics data_science machine_learning genomics molecular_biology

This interdisciplinary conference brings together scientists from diverse fields to foster new discoveries and discuss emerging principles in condensate biology, ranging from basic biophysical principles of condensate formation to the role intracellular phase transitions play in cellular adaptation and disease.

Audience: researchers faculty postdoctoral_researchers postgraduates

Topics: biomedical_engineering genomics molecular_biology neuroscience

This conference will take place at EMBL Heidelberg, with the option to attend virtually. The goal of BioMalPar is to (1) highlight recent advances in basic and translational research into the biology of malaria parasites, their interactions with their mammalian host and mosquito vector, and the development of new interventions, (2) foster collaboration among researchers in these efforts, and (3) provide training and networking opportunities for participants.

Audience: researchers faculty postdoctoral_researchers postgraduates clinicians

Topics: genomics immunology molecular_biology epidemiology global_health

The annual international conference on Intelligent Systems for Molecular Biology (ISMB) is the flagship meeting of the International Society for Computational Biology (ISCB). The 2026 meeting is the 34th ISMB conference, which has grown to become the world's largest bioinformatics and computational biology conference. ISMB 2026 will be the year's most important computational biology event! The principal focus of the ISMB conference is on the development and application of advanced computational methods to address biological problems, and it brings together researchers from computer science, bioinformatics, computational biology, molecular biology, mathematics, statistics, and related fields.

Audience: researchers faculty postdoctoral_researchers students postgraduates data_scientists software_practitioners industry

Topics: artificial_intelligence bioinformatics data_science machine_learning genomics molecular_biology

The 25th European Conference on Computational Biology (ECCB 2026) will take place in Geneva from 31 August to 4 September 2026. Organized by the SIB Swiss Institute of Bioinformatics, the conference will explore advancements in genomics, structural bioinformatics, systems biology, biodiversity, and more under the theme 'Biodiversity, AI & Health: computational biology to address the challenges of our time'. The programme includes keynotes, proceedings, highlight talks, poster sessions, tutorials, workshops, and networking events.

Audience: researchers faculty postdoctoral_researchers postgraduates clinicians data_scientists

Topics: artificial_intelligence bioinformatics genomics public_health biodiversity

The 25th International Conference on Bioinformatics (InCoB/ISCB-APAC 2026) marks a defining moment in the evolution of bioinformatics in the Asia Pacific region. As the Silver Jubilee edition of the International Conference on Bioinformatics (InCoB), this meeting celebrates 25 years of sustained scientific contribution, regional leadership, and community building under the auspices of Asia-Pacific Bioinformatics Network (APBioNET). At the same time, it inaugurates a long-term strategic collaboration with the International Society for Computational Biology (ISCB) under the ISCB-APAC framework, strengthening the conference’s global engagement while preserving its regional identity. Under the theme “Where Bioinformatics Meets AI – Unlocking the Next Era of Discovery” the conference will explore the transformative convergence of bioinformatics and artificial intelligence in advancing life science research. From foundational methodologies to emerging AI-driven approaches, InCoB/ISCB-APAC 2026 will provide a platform to examine how computational innovation is reshaping biological discovery, precision medicine, systems biology, and translational research. The scientific programme will feature keynote lectures, presentations of original research, plenary discussions, poster sessions, workshops, software demonstrations, and panel dialogues. The meeting aims to bring together researchers, practitioners, educators, and students from across the Asia Pacific region and beyond to exchange ideas, foster collaborations, and collectively shape the next chapter of discovery in bioinformatics.

Audience: researchers students postgraduates clinicians educators industry practitioners

Topics: artificial_intelligence bioinformatics data_science machine_learning genomics

This course provides an introduction to causal inference and causal representation learning, offering both theoretical foundations and hands-on training. You will learn how to apply these methodologies to various biomedical data types, including clinical, genotype-phenotype, molecular, and multimodal data.

Audience: researchers postdoctoral_researchers students postgraduates early_career clinicians data_scientists practitioners

Topics: bioinformatics data_science machine_learning biomedical_engineering statistics biotechnology genomics molecular_biology clinical_research public_health

This course provides an in-depth introduction to breakthrough DNA sequencing technology, Sequencing by Expansion (SBX), and advanced NGS library preparation solutions. Participants will gain comprehensive understanding of SBX technology, NGS library preparation with KAPA, and applications in genomic research and clinical diagnostics including early cancer detection, comprehensive genomic profiling (CGP), and minimal residual disease (MRD) monitoring.

Audience: researchers postdoctoral_researchers postgraduates clinicians industry practitioners

Topics: bioinformatics genomics molecular_biology clinical_research