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.
SAVE THE DATE
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.
Conference Chairs
Niranjan Nagarajan, Associate Director and Senior Group Leader, A*STAR Genome
Institute of Singapore (A*STAR GIS), Singapore
Shoba Ranganathan, Professor, Macquarie University, Austrailia
Scientific Programme Chairs
Shandar Ahmad, Jawaharlal Nehru University, New Delhi, India
Kar-Tong Tan, National University of Singapore, Singapore
Susumu Goto, National Institute of Genetics, Japan