SAVE THE DATE

We invite you to the 2nd Asia & Pacific Bioinformatics Joint Conference (APBJC2027), which will take place at the Suntec Convention Center, 28 September - 1 October 2027.

Bioinformatics, the interdisciplinary field of life and information sciences, is now attracting unprecedented attention. Big biological data on living organisms, from genome data to sensor data, are now available. The advancement of computational science, including artificial intelligence, is remarkable. Under this context, we need to understand the mechanisms of disease, keep healthy lives, improve agriculture, protect the global environment, and efficiently produce valuable substances. The impact of bioinformatics must be growing in the future.

Topics

PROTEIN STRUCTURE ANALYSIS, PREDICTION AND DESIGN:
Cutting-edge computational methods are revolutionizing our ability to predict and design the structures of proteins. These advancements hold immense potential for developing new drugs, understanding fundamental biological functions, and creating innovative therapeutics.

PERSONALIZED MEDICINE AND COMPUTATIONAL GENETICS:
Computational approaches are instrumental in analyzing large-scale genomic and clinical data to tailor treatments based on an individual's genetic makeup. Precision oncology, in particular, relies on computational biology for tumor profiling, drug sensitivity prediction, identifying potential therapeutic targets, and repurposing of existing drugs for new therapeutic applications.

METAGENOMICS AND MICROBIOME ANALYSIS:
Computational tools play a crucial role in studying complex microbial communities and their impact on human health, agriculture, and the environment. Analyzing metagenomic data involves developing algorithms for taxonomic classification, functional profiling, and understanding microbial interactions.

NETWORK BIOLOGY AND SYSTEMS BIOLOGY:
Computational modeling of biological networks, such as protein-protein interactions, metabolic pathways, and gene regulatory networks, helps in understanding the underlying mechanisms of complex biological systems. Systems biology integrates computational and experimental approaches to study biological systems holistically.

ETHICAL, LEGAL AND SOCIAL ISSUES(ELSI):
With the increasing volume of biological data being generated, there is a growing emphasis on addressing ethical concerns, ensuring data privacy, and developing frameworks for responsible data sharing and usage in computational biology research.

BIOINFORMATICS EDUCATION & TRAINING:
Bioinformatics education is fast advancing by reflecting substantial changes in research areas and educational tools (particularly AI-based).

OMICS-Based INFORMATICS:
Various informatics resources and technologies have been developed for omics data accumulated via high-throughput technologies.

DATABASES, ONTOLOGIES AND BIOCURATION:
To effectively manage the vast amounts of biological data generated by advanced measurement techniques, it is increasingly crucial to design interoperable and reusable biological databases, construct ontologies for precise data representation in life sciences, and refine biocuration workflows to enhance data quality and accessibility.

EVOLUTIONARY AND COMPARATIVE GENOMICS:
New discoveries as well as groundbreaking methods are being made for comparing genomic data and revealing the evolutionary histories and relationships of diverse species.

SYNTHETIC BIOLOGY AND ENGINEERING:
Engineering biology is enabling the intentional design, manufacture and deployment of living cells, cell systems, and other biological processes to create materials and products for benefiting humanity.

EMERGING RESEARCH AREAS:
This area is intended for innovative and emerging research that pushes the boundaries of computational biology, including quantum computing, spatial omics, and other new technologies, methodologies, and computational paradigms not fully represented within established topic areas.

COMPUTATIONAL BIOLOGY:
Other topics related to computational biology not listed above.