Recent Advancements on Quantitative Methods for Genomics and Genetics

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Guest Editor
Prof. Wen Zhou
Department of Statistics, Colorado State University, 208 Statistics Building, Fort Collins, CO 80523, USA

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

Paper Submission
All manuscripts will be peer-reviewed before their acceptance for publication.
The deadline for manuscript submission is March 31, 2019.

Instructions for authors
Please submit your manuscript to online submission system

Virginia L. Ma, Shili Lin
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Debashis Ghosh
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Dao-Peng Chen, Fangyuan Zhang, Shili Lin
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Yonghua Zhuang, Kristen Wade, Laura M. Saba, Katerina Kechris
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Ignacio Alvarez-Castro, Jarad Niemi
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