Bioinformatics and Population Genomics
A special issue of Genes (ISSN 2073-4425). This special issue belongs to the section "Population and Evolutionary Genetics and Genomics".
Deadline for manuscript submissions: closed (20 May 2023) | Viewed by 8213
Special Issue Editors
Interests: NGS; genomics; comparative genomics; transcriptomics; small and large variant analyses; gwas
Special Issue Information
Dear Colleagues,
Studying genetic factors underlying phenotypic variation among populations has been the cornerstone of population genetics. In light of recent developments in sequencing technologies, the scope of these studies has dramatically changed, transforming it to an interdisciplinary field that integrates bioinformatic tools to analyze and manage large biological data. Both theoretical and computational methods are required to understand mechanisms producing and maintaining genetic diversity among populations. Population genetics studies can identify loci involved in adaptation or variants responsible for inbreeding depression. Moreover, these findings can be applied for wildlife conservation. This Special Issue aims to highlight recent discoveries and theoretical frameworks.
We are interested in studies that describe the causes of adaptation as a result of domestication, invasion of non-native species, and climate change as well as disease susceptibility at the genome level by developing and applying novel bioinformatics tools.
Dr. Nima Rafati
Dr. Dag Ahrén
Guest Editors
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Keywords
- new discoveries and recent breakthroughs in population genetics and genomics
- bioinformatics tools and statistical frameworks in the field of population genetics
- novel methods for genotyping and sequencing
- best practice for study design, library preparation, sequencing, and filtering for bioinformatics data analysis
- application of population genetics to animal and plant breeding
- role of gene–gene interaction in adaptation
- integrative analyses of omics data for characterizing population differentiation
- adaptation to environmental changes
- dynamics of populations in response to environmental stress
- adaptation from standing genetic variation
- population genetics and risk prediction of diseases
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