RECOMB 2017 (Research in Computational Molecular Biology)

Country: Hong Kong

City: Hong Kong

Abstr. due: 28.10.2016

Dates: 03.05.17 — 07.05.17

Area Of Sciences: Biology;

Organizing comittee e-mail: http://groups.csail.mit.edu/cb/recomb2017/

Organizers: The University of Hong Kong

 

RECOMB 2017 is the 21st in a series of well-established scientific conferences bridging the areas of computational, mathematical, statistical and biological sciences. The conference features keynote talks by preeminent scientists in life sciences, proceeding presentations of peer-reviewed research papers in computational biology, and poster sessions on the latest research progress.

The conference series aims at attracting research contributions in all areas of computational molecular biology, including but not limited to: molecular sequence analysis; recognition of genes and regulatory elements; molecular evolution; protein structure; structural genomics; analysis of gene expression; biological networks; sequencing and genotyping technologies; drug design; probabilistic and combinatorial algorithms; systems biology; computational proteomics; structural and functional genomics; information systems for computational biology and imaging.

The origins of the conference are in the mathematical and computational side of the field, and there remains a certain focus on computational advances. However, effective applications of computational techniques to achieve biological innovation remain a central aspect of the conference.


Topics of Interest

(include but not limited to)

    Molecular sequence analysis
    Sequencing and genotyping technologies
    Regulation and epigenomics
    Transcriptomics
    Metagenomics
    Population and statistical genetics
    Evolution and comparative genomics
    Structure and function of non-coding RNAs
    Computational proteomics and proteogenomics
    Computational structural biology
    Protein structure and function
    Biological networks
    Computational systems biology
    Bioimaging
 

Conference Web-Site: http://groups.csail.mit.edu/cb/recomb2017/