Manuscript Topics

The last decade has witnessed the rapid advancement of high-throughput technologies and the generation and storage of massive data sets. A huge number of new challenges in analyzing, modeling and interpreting these massive data have arisen, forcing transformative change on research in biological and medical sciences in general, and genomics and genetics in particular. To meet those challenges and provide reliable approaches, quantitative methods for genomics and genetics have emerged from traditional areas in mathematics, statistics and computer sciences; and have become indispensable to modern research in biological and medical sciences. The newly developed quantitative methods for genomics and genetics have paved the road to many important biological and medical discoveries in the last few years. On the other hand, the novel problems arising from genomics and genetics have also been motivating and leading to many new concepts, models and methodologies in mathematics, statistics and computer sciences.

This special issue intends to focus on the newly developed quantitative methods,from mathematics, statistics, and computer science, for genomics and genetics,with an emphasis on methodology and theoretical justifications. The work should have a strong connection with genomics and genetics. Experimental verification is appreciated but not required. Potential topics include but are not limited to:

• Massive data sets in genomics and genetics
• Copy number variation
• Disease gene mapping
• Epigenetics modeling and analysis
• Genetic networks
• Integrative genomics and genetics
• Longitudinal genomic studies
• Meta-analysis
• Microbiome analysis
• Methylation
• Pathway-based genomics single cell RNA sequencing
• mRNA/miRNA interactions

Instructions for authors
https://www.aimspress.com/mbe/news/solo-detail/instructionsforauthors
Please submit your manuscript to online submission system
http://oeps.aimspress.com/mbe/ch/author/login.aspx