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ISMB 2026: International Conference on Intelligent Systems for Molecular Biology

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ISMB
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투고 마감일:
2026-04-09 Extended
통보일:
2026-05-05
개최일:
2026-07-12
개최지:
Washington DC, USA
개최 횟수:
34
CCF: B   ICORE: A   QUALIS: A1   조회: 48774   팔로우: 14   참가: 2

회반 지수 (CP-I)

87.8 / 100
전체 5,684개 중 97위 · 상위 2%

바이오인포매틱스·의료정보학 분야 183개 중 1위 인공지능·기계학습 분야 741개 중 13위

학술적 인정 (35%)
100
투고 선별성 (20%)
93
개최 횟수 (20%)
96
커뮤니티 관심도 (10%)
52
공개 자료 충실도 (15%)
65

사용한 입력: 수록 등급: CCF B, ICORE A, QUALIS A1 · 게재율: 17.6%(기록이 있는 5개 회차의 평균) · 확인되는 개최 횟수: 34 · 회반에서 팔로우 중인 연구자: 14명 · 지난 24개월 동안 이 페이지를 연 연구자: 31명

공개 자료에서 빠진 항목: 역대 회차 (+3.0) · 최우수 논문 기록 (+2.3)
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신뢰도 100% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.1 · 산출일 2026-09-23

논문 모집

ISMB 2026 (International Conference on Intelligent Systems for Molecular Biology) is a CCF B / ICORE A / QUALIS A1 conference held in Washington DC, USA on 2026-07-12. The paper submission deadline is 2026-04-09 (extended). Acceptance notifications are sent on 2026-05-05.

Topics Bioinformatics Education and Citizen Science (COSIs within this area include: Education) Systematic examination and analysis of learning models, outcomes, and educational programs. Serious gaming and game-ification. Bioinformatics of Microbes and Microbiomes (COSIs within this area include: BioVis, CAMDA, HiTSeq, MICROBIOME, MLCSB, NetBio, Text Mining) Computational methods and algorithms for studying microbial organisms, viruses, and their communities from omics and marker data. Biomedical Informatics (COSIs within this area include: Bio-Ontologies, BioVis, CAMDA, Function, HiTSeq, iRNA, MLCSB, NetBio, Text Mining, TransMed, VarI) Computational approaches to clinical and medical problems, including disease predisposition, diagnostic, progression, and treatment. Pharmacogenomics. Equity and Diversity in Computational Biology Research (Of interest to all COSIs) Research that examines issues of equity, representation, diversity, or other elements related to datasets, methods, or the field at large; health policy; fairness in ML; biases in GWAS studies; bias in literature; biology/genomics of traditionally understudied groups. Evolutionary, Comparative and Population Genomics (COSIs within this area include: BioVis, Evolution and Comparative Genomics, Function, HiTSeq, iRNA, MICROBIOME, MLCSB, VarI) Phylogeny estimation, and modelling variation and change under the influence of evolutionary processes. Selection and adaptation. Multi-species analyses. Genome Sequence Analysis (COSIs within this area include: BioVis, Evolution and Comparative Genomics, Function, HiTSeq, iRNA, MICROBIOME, MLCSB, NetBio, RegSys, TransMed, VarI) Assembly and mapping algorithms. Gene prediction and annotation. Detection, qualification, and annotation of genomic variants and their structural and functional effects. Macromolecular Sequence, Structure, and Function (COSIs within this area include: 3DSIG, Bio-Ontologies, BioVis, CompMS, Evolution and Comparative Genomics, Function, iRNA, MLCSB, RegSys, VarI) Analysis and annotation of DNA, RNA, and proteins to predict, characterize, and understand their structure, function, and evolution. Includes protein design and imaging techniques for macromolecules. Privacy and Security for Computational Biology (COSIs within this area include: HiTSeq, MLCSB, TransMed) Methods related to the protection of individualized molecular and medical information; privacy models; federated learning; GWAS on summary statistics; federated EHR data analysis; new approaches to federated data storage, access, and analysis. Regulatory and Functional Genomics (COSIs within this area include: Bio-Ontologies, BioVis, Evolution and Comparative Genomics, Function, HiTSeq, iRNA, MICROBIOME, MLCSB, NetBio, RegSys) Transcriptomics, single-cell RNA techniques, non-coding RNA, epigenetics, chromatin structure. Systems Biology and Networks (COSIs within this area include: Bio-Ontologies, BioVis, CompMS, Function, MICROBIOME, MLCSB, NetBio, RegSys, Text Mining, TransMed) Emergent properties and complex multi-component interactions within biological systems, considering genomic, proteomic, metabolomic, and other -omic data; gene regulation and circuit design. General Computational Biology Novel techniques in emerging areas of computational biology not covered by the other areas listed above, including intersections with other fields. You are encouraged to submit to one of the other thematic areas. If you feel your contribution is at the intersection of many fields, please pick one. If you still want to submit to this area, you will be asked to explain why. Please note that the submissions in this area and others are likely to be moved, subject to the chairs’ considerations.
최종 수정: Dou Sun ()

게재율

평균 게재율: 17.6% 5년간 (2007–2015).

연도투고 수게재 수게재율(%)
20152414217.4%
20132334017.2%
20112584818.6%
20092424619%
20074176615.8%

관련 학회

관련 저널

CCF정식 명칭영향력 지수출판사ISSN
Algorithms for Molecular Biology1.7Springer1748-7188
Molecular Simulation2.0Taylor & Francis0892-7022
Journal of Molecular Graphics and Modelling3.0Elsevier1093-3263
Molecular Diversity3.8Springer1381-1991
Journal of Computer-Aided Molecular Design3.1Springer0920-654X
npj Systems Biology and Applications3.5Springer2056-7189
BSoftware & Systems Modeling3.2Springer1619-1366
BPattern Recognition7.6Elsevier0031-3203
BIEEE Transactions on Neural Networks and Learning Systems8.9IEEE1045-9227
BInformation Sciences6.0Elsevier0020-0255

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