Conference Information

CBSB 2026: Symposium on Computational Biology and Systems Biology

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Submission Date:
2026-05-01
Notification Date:
2026-05-10
Conference Date:
2026-05-15
Location:
Hangzhou, China
Years:
2
Viewed: 1240   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

40.2 / 100
Ranked #4,960 of 5,652 conferences · Top 88%

#158 of 182 in Bioinformatics & Health Informatics

Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
30
Community attention (10%)
16
Public record completeness (15%)
35

Inputs used: Editions on record: 2 · Researchers who opened this page in the past 24 months: 7

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-08

Call For Papers

CBSB 2026 (Symposium on Computational Biology and Systems Biology) is an academic conference held in Hangzhou, China on 2026-05-15. The paper submission deadline is 2026-05-01. Acceptance notifications are sent on 2026-05-10.

The topics of interest for submission include, but are not limited to: Track 1：Computational Biology Fundamentals and Methods Bioinformatics Methods Genomic Computing Proteomics Analysis Systems Biology Modeling Network Biology Evolutionary Computation Biological Data Mining Multi-omics Integration Big Data Processing in Biology Track 2：Systems Biology and Network Analysis Biological Network Modeling System Dynamics Metabolic Pathway Analysis Protein-Protein Interaction Transcriptional Regulatory Networks Network Topology Analysis Module and Community Detection Multi-scale Modeling Network-driven Disease Studies Track 3：Bioinformatics Data Analysis and Artificial Intelligence Genomic Data Analysis Transcriptomics Analysis Proteomics and Metabolomics Analysis Applications of Machine Learning in Biology Deep Learning in Omics Data Data Visualization and Interpretation Anomaly Detection and Prediction Biological Feature Extraction Multimodal Omics Integration Track 4：Biomedical and Healthcare Applications Personalized Medicine Modeling Disease Network Analysis Drug Target Prediction Clinical Data Analysis Biomarker Discovery Gene Editing Prediction Systems Pharmacology Disease Mechanism Modeling Medical Decision Support Systems
Last updated by Dou Sun on

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