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Abstracts

Links within this page: Abstracts: Submission Guidelines | Abstract Preparation Guidance | Conference Topics | Important Dates | Why Submit?


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Join us in advancing computational biology and bioinformatics!

GIW/ISCB-Asia 2025 welcomes abstract submissions featuring research at the forefront of bioinformatics and computational biology. We encourage the submission of original work, whether it is in progress or has been previously published within the last 18 months, for consideration for oral and/or poster presentation.

All presentations are categorized based on scientific topics, ensuring a cohesive organization of talks and posters. Please ensure that your abstract communicates a scientific result and refrains from serving as an advertisement for any commercial software package or products.

GIW/ISCB-Asia 2025 embraces a broad interpretation of bioinformatics/computational biology. Topics of particular interest encompass, but are not limited to, the following:

  • Single-Cell Analysis
  • Spatial Omics and Histology
  • Cutting-Edge AI Applications in Biology and Medicine
  • Protein/RNA Structure Analysis, Prediction and Design
  • Cancer Genomics and Personalized Medicine
  • Metagenomics and Microbiome Analysis
  • Network Biology and Systems Biology
  • Drug Discovery and Repurposing
  • Ethical, Legal and Social Issues (ELSI)
  • Bioinformatics Education
  • Multi-Omic Informatics
  • Databases, Ontologies and Biocuration
  • Evolutionary, Comparative Genomics and Phylogenetics
  • Synthetic Biology and Engineering
  • General Computational Biology

See detailed descriptions of these topics below.

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Abstracts: Submission Guidelines

The presenter should be identified during the submission process. Presenters of accepted abstracts are required to make the presentation themselves, and must register and pay to attend the conference.

Submitters may choose to have their submission reviewed for: (i) talk only, (ii) talk and poster or (iii) poster only. If you select talk and poster, and are unsuccessful for a talk, your abstract will automatically be considered for a poster presentation. Submissions must be received by September 29, 2025.

Participants who opt for (i) talk only or (ii) talk and poster are required to submit:

  • Both a 200-word abstract to be posted on the conference website AND a long abstract of up to two (2) pages in PDF format.

Participants who opt for (iii) poster only are required to submit:

  • A 200-word abstract to be posted on the conference website.

All abstracts must be submitted using the conference submission site by the abstract deadline: September 29, 2025.

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Abstract Preparation Guidance

The 200-word abstract should be a brief and concise summary of the background/motivation for the study, method and result (s), as well as a conclusion/statement of significance. The abstract is submitted through the EasyChair submission system.

Accepted abstracts (maximum 200 words) will be posted on the conference website.

For authors requesting a talk you should upload a long abstract of up to two (2) pages in PDF format during the submission process, to provide additional details including figures and graphics that support the main points of the abstract. Do not submit more than two pages.

Your abstract must not contain your title/position or any personal information (e.g. affiliation). These details will be collected through the EasyChair submission system.

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Conference Topics

Submissions are invited on, but not limited to, the following topics:

SINGLE-CELL ANALYSIS:
Advancements in single-cell technologies have allowed researchers to delve deeper into understanding cellular heterogeneity, cell signaling, and gene expression at the single-cell level. Analyzing large-scale single-cell data poses challenges in computational methods, driving innovation in this area.

SPATIAL OMICS AND HISTOLOGY:
Methods development, computational analysis, and clinical application of spatial transcriptomics, multi-omics, and/or the integration of histology images. The combination of spatial transcriptomics and histology provides detailed, high-resolution maps of gene expression within the context of tissue architecture. 

CUTTING-EDGE AI APPLICATIONS IN BIOLOGY AND MEDICINE::
The application of machine learning algorithms and artificial intelligence in biology and medicine has been rapidly expanding. In biology, these techniques aid in predictive modeling, variant calling, drug discovery, functional genomics, and interpreting complex biological data. In medicine, AI and machine learning are revolutionizing diagnostics, personalized treatment plans, patient monitoring, and clinical decision-making. 

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

CANCER GENOMICS AND PERSONALIZED MEDICINE:
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, and identifying potential therapeutic targets.

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.

DRUG DISCOVERY AND REPURPOSING:
Computational methods are extensively used in virtual screening, molecular docking, and drug-target interaction prediction. These approaches accelerate drug discovery and enable the repurposing of existing drugs for new therapeutic applications.

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:
Bioinformatics education is fast advancing by reflecting substantial changes in the expanding research areas and educational tools.

MULTI-OMIC 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, COMPARATIVE GENOMICS AND PHYLOGENETICS:
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 enabling the intentional design, manufacture and deployment of living cells, cell systems, and other biological processes to create materials and products for benefiting humanity.

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

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Important Dates

Submission Deadline: September 29, 2025 
Abstract Decision Date: October 17, 2025
Late-Breaking Posters Deadline: October 20, 2025
Late-Breaking Poster Decision Date: October 29, 2025

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Why Submit?

GIW XXXIV | ISCB-Asia VIII provides a leading platform for presenting groundbreaking research, engaging with peers, and advancing computational biology globally. Join us in exploring cutting-edge innovations and impactful discoveries.

Submit your work and be part of this premier conference!

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