학회 정보

BIOINFORMATICS 2027: International Conference on Bioinformatics Models, Methods and Algorithms

투고 마감일:
2026-10-22 마감됨
통보일:
2026-12-04
개최일:
2027-02-19
개최지:
Valletta, Malta
개최 횟수:
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BIOINFORMATICS
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회반 지수 (CP-I)

56.6 / 100
전체 5,776개 중 785위 · 상위 14%

바이오인포매틱스·의료정보학 분야 184개 중 19위 이론·알고리즘 분야 142개 중 47위

학술적 인정 (35%) 데이터 없음 — 중립 기준값 50점으로 계산 —
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%)
79
커뮤니티 관심도 (10%)
27
공개 자료 충실도 (15%)
70

사용한 입력: 확인되는 개최 횟수: 18 · 회반에서 팔로우 중인 연구자: 2명 · 지난 24개월 동안 이 페이지를 연 연구자: 8명

공개 자료에서 빠진 항목: 역대 게재율 (+4.5)
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신뢰도 45% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.2 · 산출일 2026-11-12

논문 모집

BIOINFORMATICS 2027 (International Conference on Bioinformatics Models, Methods and Algorithms) is an academic conference held in Valletta, Malta on 2027-02-19. The paper submission deadline is 2026-10-22. Acceptance notifications are sent on 2026-12-04.

SCOPE The International Conference on Bioinformatics Models, Methods and Algorithms brings together researchers and practitioners to explore cutting-edge computational approaches addressing fundamental challenges in bioinformatics and biomedical research. As biological data continues to grow in volume, variety, and complexity, there is an urgent need to develop and refine mathematical, statistical, and computational techniques—particularly AI and machine learning methods—that can effectively analyze, integrate, and derive meaningful insights from multi-omics datasets. The conference emphasizes innovative algorithmic solutions, modeling frameworks, and computational methods that advance our understanding of biological systems across scales. Areas of interest include AI/ML applications in bioinformatics, deep learning for biological data analysis, systems biology and biological networks, multi-omics data integration, single-cell analytics, precision medicine approaches, computational drug discovery and repurposing, structural bioinformatics, sequence analysis, biomedical image analysis, and related emerging fields. The conference particularly welcomes interdisciplinary approaches that bridge computational methods with biological and clinical applications. CONFERENCE TOPICS Simulation and Modeling Computational Approaches for Drug Repurposing and Design Advanced Pattern Recognition and Representation Learning in Bioinformatics Machine Learning, Computational Intelligence, and AI in Bioinformatics Model Design and Evaluation Transcriptomics Genomics and Proteomics Sequence Analysis Structural Bioinformatics Databases and Data Management : Data Mining, Data Integration, Data Visualization, Cloud Computing and Distributed Systems Biomedical Image Analysis Computational Neuroscience Machine Learning Algorithms, Data Mining Techniques and Deep Learning Tools Biostatistics and Stochastic Models Systems Biology and Computational Network Biology Computational Molecular Systems Integration and Analysis of Genomic and Proteomic Data Single-cell and Spatial Omics Analysis Precision Medicine and Data-Driven Healthcare and Clinical Decision Support Systems Microbiome Analysis and Metagenomic Approaches Analysis of Biological Networks Spatial Omics and Spatial Transcriptomics Multi-modal Data Integration in Bioinformatics Graph Neural Networks for Biological Network Analysis Explainable AI for Biological Interpretation AI and Deep Learning: Algorithms, Tools, and Applications in Bioinformatics and Biomedicine Biomedical Computer Vision
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관련 학회

관련 저널

CCF정식 명칭영향력 지수출판사ISSN
ABioinformatics5.4Oxford University Press1367-4803
Journal of Bioinformatics and Computational BiologyWorld Scientific0219-7200
BBriefings in Bioinformatics7.7Oxford University Press1477-4054
CBMC Bioinformatics3.3BioMed Central1471-2105
Advances and Applications in Bioinformatics and ChemistryDove Medical Press1178-6949
Advances in BioinformaticsHindawi1687-8027
International Journal on Bioinformatics & BiosciencesAIRCC1839-9614
AlgorithmsMDPI1999-4893
BIEEE Transactions on Computational Biology and Bioinformatics (TCBB)3.4IEEE1545-5963
AIEEE Transactions on Multimedia9.7IEEE1520-9210

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