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ISMB 2026: International Conference on Intelligent Systems for Molecular Biology

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投稿締切日:
2026-04-09 Extended
通知日:
2026-05-05
開催日:
2026-07-12
開催地:
Washington DC, USA
開催回数:
34
CCF: B   ICORE: A   QUALIS: A1   閲覧: 48776   フォロー: 14   参加: 2

会伴インデックス (CP-I)

87.8 / 100
全 5,684 件中 第 97 位 · 上位 2%

バイオインフォマティクス・医療情報学 分野 183 件中 第 1 位 人工知能・機械学習 分野 741 件中 第 13 位

学術的評価 (35%)
100
投稿の選択性 (20%)
93
開催回数 (20%)
96
コミュニティの注目度 (10%)
52
公開情報の充実度 (15%)
65

使用した入力: 収録ランク：CCF B, ICORE A, QUALIS A1 · 採択率：17.6%（記録のある 5 回の平均） · 確認できる開催回数：34 · 会伴でフォローしている研究者：14 人 · 過去 24 か月にこのページを開いた研究者：31 人

公開情報で不足しているもの: 過去の開催回 (+3.0) · 最優秀論文の記録 (+2.3)
主催者は会議を認証申請したうえで、このページから直接追加できます。スコアは毎晩再計算されます。このスコアを上げるには

信頼度 100% — スコアのうち、中立の基準値ではなく実際に観測されたデータに基づく割合。 このスコアの算出方法 · ランキングを見る · アルゴリズム版 1.1 · 算出日 2026-09-23

論文募集

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.
最終更新：Dou Sun（）

採択率

平均採択率: 17.6% 5 年間 (2007–2015).

年投稿数採択数採択率(%)
20152414217.4%
20132334017.2%
20112584818.6%
20092424619%
20074176615.8%

関連会議

関連ジャーナル

CCF正式名称インパクトファクター出版社ISSN
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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