Call For Abstract

Call For Abstract

Abstract Guideline

  1. Abstract should be written in English.
  2. Abstract's length should be a minimum of 200 words and a maximum of 250 words.
  3. Do not include scientific symbols, acronyms, numbers, bullets or lists in the abstract. It should be single-spaced in 10-point Times New Roman.
  4. Abstract needs to be simple, specific, clear, unbiased, honest, concise, precise, stand-alone, complete, scholarly, (preferably) structured, and should not be misrepresentative.
  5. Abstract must contains a research problem, objectives, methods, results, conclusion and may also include the author's views on the implications of the study.
  6. Abstract must be submitted using Microsoft Word format (.doc or .docx format) via CoSy.
  7. We recommend that you save and submit the abstract in PDF, A4-page format.
  8. The content of the abstract will be the basis for acceptance of the oral presentation at the BBC 2022.
  9. The abstracts will be peer-reviewed, and authors will be informed about acceptance for presentation via email.
Download Abstract Template

Topics:

  1. Bioinformatics and Computational Biology of Molecular Structure, Function and Evolution
    1. Evolution, Phylogeny, Comparative Genomics
    2. Protein/RNA Structure, Function and Interactions
    3. 3D genome
  2. Next Generation Sequencing and High-throughput Methods
    1. Next-Gen Sequencing
    2. Microarray Data Analysis
    3. SNPs and Haplotype Analysis, GWAS, Personalized Genomics
    4. Transcriptomics
    5. Metabolomics
    6. Proteomics
    7. Epigenomics
  3. Cheminformatics and pharmacogenomics
    1. Cheminformatics and Computer-Aided Drug Design
    2. Molecular Docking
    3. Molecular Modeling
    4. Pharmacogenomics
  4. Cross-Cutting Computational Methods and Bioinformatics of Disease
    1. Data Mining, Machine Learning, and Artificial Intelligence
    2. Big Data Analytics
    3. High Performance Computing
    4. Information Retrieval, Ontologies, Natural Language Processing, and Text Mining
    5. Data Visualization
    6. Computational Modeling and Data Integration
    7. Precision Medicine
    8. Genome-Phenome Analysis
    9. Biomarker Discovery
    10. Pathogen bioinformatics
  5. Biomedical and Health Informatics
    1. Data Mining, Machine Learning, and Artificial Intelligence
    2. Big Data Analytics
    3. Information Retrieval, Ontologies, Natural Language Processing, and Text Mining
    4. Biomedical Image Analysis
    5. Biomedical Signal Analysis
    6. Healthcare Knowledge Representation & Reasoning
    7. Data Visualization
    8. Data Interoperability and Health Information Exchange
    9. Human-computer Interaction and Human Factors
    10. Clinical and Health Information Systems
    11. Consumer Informatics and Personal Health Records
    12. Electronic Medical/Health Records and Standards
    13. Mobile Health
    14. Clinical Decision Support
Registration and submission are via CoSy (Conference System) by AKADEMISI
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