Advances in bioinformatics: phylogenetic analysis and data visualization using r programming language in animal biotechnology
VIII. International Congress on Domestic Animal Breeding, Genetics and Husbandry - 2024 (ICABGEH-24), Antalya, Türkiye, 23 - 25 Eylül 2024, ss.408-423, (Özet Bildiri)
- Yayın Türü: Bildiri / Özet Bildiri
- Basıldığı Şehir: Antalya
- Basıldığı Ülke: Türkiye
- Sayfa Sayıları: ss.408-423
- Akdeniz Üniversitesi Adresli: Evet
Özet
Phylogenetic analyses play a critical role in population genetic studies, especially for livestock animals, providing essential insights into the historical demographic structure of populations, the genetic diversity within and between species, and the evolutionary relationships among species. Traditional methods of molecular genetic data analysis have involved the use of multiple software programs, each requiring specific input and output formats. Tools such as MEGA, DnaSP, SplitsTree, TASSEL, and Arlequin are widely employed, but necessitate users to format their data uniquely for each software, complicating the workflow. In recent years, the field of molecular genetics has benefitted from significant advancements in computational tools and bioinformatics, streamlining the data analysis process. New-generation software, like R programming language, enables researchers to conduct various analyses and visualize results powerfully with a single data entry. R, originally developed for statistical computing and data visualization, has emerged as a valuable tool in animal biotechnology for conducting phylogenetic and statistical analyses on large molecular datasets. With the open-access environment of R, researchers can easily share and replicate computational workflows by providing command scripts and code, offering great advantages in terms of reproducibility and collaborative research. The comprehensive capabilities of R, combined with the flexibility it offers for complex analyses through language-specific commands, have made it a go-to tool in the analysis of genetic data. By leveraging these tools, animal biotechnologists can perform a wide range of genetic studies more efficiently, providing deeper insights into genetic relationships and enhancing efforts in the conservation and breeding of livestock species. This presentation will discuss the power and application of R in molecular genetics, focusing on its utility for phylogenetic analysis, and data visualization in the context of animal biotechnology. It will highlight the advantages of using R over traditional methods and demonstrate how it simplifies the research workflow, ultimately facilitating the advancement of livestock genetic studies.