Conference Information

MCCMB 2019: Moscow Conference on Computational Molecular Biology

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Submission Date:
2019-03-10 Extended
Notification Date:
2019-04-01
Conference Date:
2019-07-27
Location:
Moscow, Russia
Viewed: 14190   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

42.1 / 100
Ranked #4,153 of 5,687 conferences · Top 74%

#127 of 184 in Bioinformatics & Health Informatics

Limited evidence: this conference is not listed in CCF / ICORE / QUALIS and has no acceptance-rate data on file, so most of the score falls back to the neutral baseline.
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%) No data - scored at the neutral baseline of 50 —
Community attention (10%)
8
Public record completeness (15%)
25

Inputs used: Researchers who opened this page in the past 24 months: 2

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 25% - 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 2026-09-25

Call For Papers

MCCMB 2019 (Moscow Conference on Computational Molecular Biology) is an academic conference held in Moscow, Russia on 2019-07-27. The paper submission deadline is 2019-03-10 (extended). Acceptance notifications are sent on 2019-04-01.

The topics of interest include, but are not limited to: Sequence analysis: statistics of DNA and protein sequences; functional annotation of genes, proteins and genomes. Structure of biopolymers: prediction of protein structure; interaction of proteins with ligands; comparative analysis of protein 3D structures; prediction of RNA structure. Molecular evolution: phylogenetic analysis; comparative genomics; genome rearrangements. Omics and Systems biology: genome and metagenome analysis; transcriptomics; large-scale analysis of proteomes and protein-protein interactions: metabolic and signal pathways; models and networks. Next generation sequencing Bioalgorithms
Last updated by Dou Sun on

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