Información de la conferencia
RECOMB 2024: International Conference on Research in Computational Molecular Biology
https://recomb.org/recomb2024/index.html
Día de Entrega:
2023-10-16
Fecha de Notificación:
2023-12-18
Fecha de Conferencia:
2024-04-29
Ubicación:
Boston, Massachusetts, USA
Años:
28
CCF: b   CORE: b   QUALIS: a2   Vistas: 35789   Seguidores: 19   Asistentes: 4

Solicitud de Artículos
Overview

The RECOMB conference series, established in 1997, serves as a premier scientific forum for the exchange of advancements in computational biology and its applications in molecular biology and biomedicine. The conference acts as a bridge, connecting computational, mathematical, statistical, and biological sciences. It assembles researchers, professionals, students, and industrial practitioners from across the globe for interaction and exchange of the newest developments in all areas of bioinformatics and computational biology. The conference features keynote talks by leading scientists, presentations of peer-reviewed high-quality research papers, presentations of exciting research developments that were published within the past year, and poster sessions showcasing the latest research progress.

Topics

Papers reporting on original research (both theoretical and applied) in all areas of computational molecular biology are suitable for submission. Topics of interest include, but are not limited to (in no particular order):

    Molecular sequence analysis
    Sequencing and genotyping technologies
    Gene regulation and epigenomics
    Transcriptomics
    Single-cell omics
    Metagenomics and microbiome analysis
    Population genetics and statistical genomics
    Evolution and comparative genomics
    Structure and function of non-coding RNAs
    Computational proteomics and proteogenomics
    Computational structural biology
    Computational metabolomics
    Protein structure and function
    Biological networks and network biology
    Computational systems biology
    Multimodal data integration in biological research
    Computational approaches to understanding human disease
    Data privacy and security in biomedical research
    Bioimaging and molecular and cellular imaging analysis
Última Actualización Por Dou Sun en 2023-09-02
Coeficiente de Aceptación
AñoEnviadosAceptadosAceptados(%)
20202063718%
20191753721.1%
2018193168.3%
20171842212%
20161723520.3%
20151703621.2%
20141543522.7%
20131673219.2%
20122003115.5%
20111534328.1%
20101763620.5%
20091663722.3%
20081933417.6%
20071703721.8%
20062173918%
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Computational Mathematics and Modeling Springer1046-283X
bINFORMS Journal on Computing1.392INFORMS1091-9856
cDiscrete & Computational Geometry0.969Springer0179-5376
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