Abstract
Population genetics studies the distributions and changes in population allele frequencies in response to processes, such as mutation, natural selection, gene flow, and genetic drift. Researchers daily manage genetic, biological, and environmental data of the samples, storing them in text files or spreadsheets, which makes it difficult to maintain consistency and traceability. Here we present TEGA, a WEB-based stand-alone software developed for the easy analysis and management of population genetics data. It was designed to: 1) facilitate data management, 2) provide a way to execute the analysis procedures, and 3) supply a means to publish data, procedures, and results. TEGA is distributed under the GNU AGPL v3 license. The documentation, source code, and screenshots are available at https://github.com/darioelias/TEGA. In addition, we present Rabid Fish, the first implementation of TEGA in the Genetics Labortory of the Faculty of Humanities and Sciences at the National University of the Litoral, where research focuses on population genetics studies applied to non-model organisms.
Highlights
As a part of evolutionary biology, population genetics, deals with the study of genetic differences within and between populations (Charlesworth and Charlesworth, 2017)
In 1987, using molecular markers, John Avise introduced the concept of Phylogeography as a way of explaining how historical geological, climatic, and ecological conditions influenced the current distribution of species and genetic lineages Subsequently, advances in laboratory and computational methods that make better use of data made phylogeographic inferences more accurate (Avise, 1998)
Recent developments in next-generation sequencing approaches have revolutionized the development of molecular markers, allowing rapid discovery of thousands of potential microsatellite loci in the genome of model and non-model organisms (Ewers-Saucedo et al, 2016; Vartia et al, 2016; De Barba et al, 2017; McKendrick et al, 2017)
Summary
As a part of evolutionary biology, population genetics, deals with the study of genetic differences within and between populations (Charlesworth and Charlesworth, 2017). In 1987, using molecular markers (first mitochondrial DNA and later nuclear markers), John Avise introduced the concept of Phylogeography as a way of explaining how historical geological, climatic, and ecological conditions influenced the current distribution of species and genetic lineages Subsequently, advances in laboratory (especially in DNA sequencing technologies) and computational methods that make better use of data made phylogeographic inferences more accurate (Avise, 1998). It is a WEB platform developed for easy data population genetics analysis and data management
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
