会议信息

ECCB 2026: European Conference on Computational Biology

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ECCB
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截稿日期:
2026-03-16
通知日期:
2026-05-15
会议日期:
2026-08-31
会议地点:
Geneva, Switzerland
届数:
25
ICORE: C   QUALIS: B1   浏览: 25389   关注: 5   参加: 0

会伴指数 (CP-I)

75.8 / 100
全站第 251 名 / 共 5,684 个会议 · 前 5%

生物信息学与健康信息学 第 5 / 183

学术认可 (35%)
78
投稿选择性 (20%)
93
会议传承 (20%)
88
社区关注 (10%)
26
资料公开度 (15%)
65

用到的输入: 收录等级：ICORE C, QUALIS B1 · 录用率：17.6%（有记录的 5 届的均值） · 有据可查的届次：25 · 在会伴关注它的研究者：5 人 · 过去 24 个月打开过本页的研究者：2 人

公开资料里还缺: 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 100% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-23

征稿

ECCB 2026 (European Conference on Computational Biology) is a ICORE C / QUALIS B1 conference held in Geneva, Switzerland on 2026-08-31. The paper submission deadline is 2026-03-16. Acceptance notifications are sent on 2026-05-15.

Scientific areas ECCB 2026 is a broad conference covering the full spectrum of computational biology and bioinformatics. We welcome submissions from all areas of the field. When submitting, please select the scientific area that best matches your work. The conference programme will be structured around five core scientific areas, each representing a major domain of research: Genomics, epigenomics, and genome editing Transcriptomics and gene regulation Proteins and structural biology Systems biology, multi-omics integration and modeling Biodiversity, sustainability, and environmental bioinformatics We encourage submitters to select the scientific area(s) that best reflect the focus of their work. While there is no dedicated “Applications” track, application-oriented contributions are welcome and should be submitted under the area that most closely relates to the work. Authors will be asked to select one primary and one secondary scientific area to help guide the review process and inform session planning. Scientific area descriptions Genomics, Epigenomics, and Genome Editing This session focuses on computational advances in genome sequencing, annotation, functional genomics, epigenomics, and genome editing technologies like CRISPR. It includes research exploring disease genomics, genetic predispositions, and therapeutic targets. Submissions related to imaging applications in genomic studies (e.g., spatial genomics) are also welcome. Keywords: genome sequencing, genome assembly, genome editing, genetic variation, population genomics, epigenetic modifications, methylation, genome annotation, pangenomics. Transcriptomics and Gene Regulation This session invites submissions on bioinformatics advances in transcriptomics, gene expression analysis, and regulatory network inference, including disease-focused studies, precision medicine, and other health-related studies. Topics such as single-molecule profiling, spatial transcriptomics, single-cell RNA-seq, and regulatory element analysis are encouraged. Keywords: RNA-seq, transcript quantification, alternative splicing, non-coding RNAs, regulatory elements, enhancers, promoters, transcriptional regulation, RNA metabolism, gene expression dynamics, non-coding variants, eQTLs. Proteins and Structural Biology This session explores computational methods for structural biology, protein dynamics and allostery, interactions between proteins and other molecules, protein evolution, and protein design. It includes research on disease-related protein analysis, drug target identification, and drug design. Approaches based on sequence, structure, dynamics, or function are all welcome. Submissions that integrate computational and experimental approaches are also encouraged, e.g. about cryo-EM, X-ray crystallography, and proteomics. . Keywords: protein structure, dynamics, protein-protein interactions, protein-small molecule interactions, protein evolution, protein engineering, protein design, drug design, cryo-EM, X-ray crystallography, mass spectrometry, computational proteomics. Systems Biology, Multi-Omics Integration and Modeling This session highlights computational systems biology approaches that integrate multi-omics data (e.g., genomics, transcriptomics, proteomics, metabolomics) or other data types (e.g., imaging) to study biological systems. We welcome approaches modeling biological processes across spatio-temporal scales to elucidate their mechanisms, or to predict responses to perturbations such as drug treatments. Keywords: systems biology, data integration, multi-omics and multimodal data, metabolic and signaling pathways, network inference, dynamic modeling, predictive modeling. Biodiversity, Sustainability, and Environmental Bioinformatics This session focuses on computational approaches for biodiversity conservation, environmental genomics, metagenomics, and microbiome research. It highlights the interactions between organisms and their environments, and between hosts, pathogens, and microbiomes. Topics include species monitoring, climate change adaptation, bioinformatics tools for environmental imaging, and ecosystem modeling for conservation and sustainable agriculture. The session also encompasses the use of sequencing data to reconstruct evolutionary histories, conduct comparative genomic analyses, and establish reference genomes to uncover the genetic basis of biodiversity. Keywords: metagenomics, microbiomes, biodiversity, ecological networks, conservation genomics, environmental DNA (eDNA), climate impact studies, sustainable agriculture, ecosystem modeling, bioinformatics for environmental data, phylogenomics, pathogen genomes, host-pathogen and host-microbiome interactions, comparative genomics.
由 Dou Sun 最后更新于

录用率

平均录用率: 17.6% 5 年间 (2007–2015).

年份提交数录用数录用率(%)
20152414217.4%
20132334017.2%
20112584818.6%
20092424619%
20074176615.8%

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Journal of Bioinformatics and Computational BiologyWorld Scientific0219-7200
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CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
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CPattern Recognition Letters3.9Elsevier0167-8655
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