RECOMB 2021 : International Conference on Research in Computational Molecular Biology

  in Conferences   Posted on September 21, 2020

Conference Information

Submission Deadline Friday 30 Oct 2020 Proceedings indexed by :
Conference Dates Apr 18, 2021 - Apr 21, 2021
Conference Address Padova, Italy
Conference & Submission Link https://www.recomb2021.org/
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Ranking & Metrics (This is a TOP Conference)

Guide2Research Overall Ranking: 197
Category Rankings
Computational Theory and Mathematics 21
Biomedical & Medical Informatics 7

Google Scholar H5-index:
23

Conference Call for Papers

The RECOMB conference series was founded in 1997 to provide a scientific forum for advances in computational biology and applications in molecular biology and medicine. The conference aims at bridging the computational, mathematical, statistical, and biological sciences, and bringing together researchers, professionals, students and industrial practitioners from all over the world for interaction and exchange of new developments in all areas of bioinformatics and computational biology. The conference will feature 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 on latest research progress.

Papers reporting on original research (both theoretical and experimental) with an algorithmic focus in all areas of computational molecular biology are sought. Topics of interest include, but are not limited to:

Molecular sequence analysis
Sequencing and genotyping technologies
Regulation and epigenomics
Transcriptomics, including single-cell
Metagenomics
Population and statistical genetics
Evolutionary, compressive and comparative genomics
Structure and function of non-coding RNAs
Computational proteomics and proteogenomics
Protein structure and function
Biological networks
Computational systems biology
Privacy of biomedical data
Bioimaging

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