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Disentangling Mechanisms of Genomic Regulation of Cell Functions at the Gene Level
This special issue belongs to the section “Molecular Genetics and Genomics“.
Special Issue Information
Dear Colleagues,
Genomic regulation is at the origin of cellular processes in healthy and diseased states. The advent of sequencing and other high-throughput molecular techniques, in combination with the accumulation of omics data and the development of bioinformatics methods, has led to considerable progress in understanding the genomic regulation of cell states and, particularly, the role of single genes and of their mutual interactions in health and disease.
In this Special Issue, we welcome reviews, reports of new methods, and original articles covering all aspects of the genomic regulation of cell functions at the gene level.
Dr. Hans Binder
Dr. Arsen Arakelyan
Guest Editors
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Genes is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- Genomic regulation of development, differentiation and ageing
- Mechanisms of genomic, transcriptomic, and epigenomic dysregulation in diseases (for example, cancer, inflammatory and autoimmune diseases)
- Genomic (e.g., mutations,), transcriptional (e.g., alternative splicing), epigenetic (e.g., DNA methylation, histone modifications) and proteomic levels of regulation and their mutual couplings
- Gene networks and pathways
- Computational and conceptional models
- Transcriptional, post-transcriptional, translational mechanisms
- Omics data analyses, single-cell sequencing
- Bioinformatics approaches (including machine learning) to understand genomic regulation
- Integrative analysis of multi-omics data
- Population genomics of diseases and traits with impact for gene function
- Gene-level and pathway models of telomere regulation and of other cell functions
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