Special Issue: Mathematical modeling and computational methods for gene expression and protein translation
Guest Editor
Prof. Khanh Dao Duc
Department of Mathematics, University of British Columbia, Canada
Email: kdd@math.ubc.ca
Manuscript Topics
For the past recent years, the development of various mathematical models, as well as quantitative methods for interpreting datasets from sequencing and imaging experiments, has contributed to unravel the biological dynamics associated with gene expression and protein translation. The aim of this special issue will be to present most recent methods that allow to model and study protein and gene expression dynamics. We are welcoming a wide range of computational and mathematical approaches that can cover different scales or systems, including deterministic and stochastic processes of gene expression, statistical methods and algorithms for high-throughput sequencing data (e.g. proteomics, RNA or Ribo seq), modelling of in vitro transcription/translation systems or RNA-dependent molecular processes, which will overall demonstrate the diversity and richness of mathematical applications in this area.
Instructions for authors
https://www.aimspress.com/mbe/news/solo-detail/instructionsforauthors
Please submit your manuscript to online submission system
https://aimspress.jams.pub/