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Published on: December 22, 2017
EGenBio: a data management system for evolutionary genomics and biodiversity
Laila A Nahum1, Matthew T Reynolds, Zhengyuan O Wang
1Department of Biological Sciences, Biological Computation and Visualization Center, Louisiana State University, Baton Rouge, LA 70803, USA.
Evolutionary Genomics and Biodiversity (EGenBio) is a new system for managing and filtering large genomic sequence datasets. It aids in evolutionary analysis and biodiversity research by integrating alignments, trees, and visualization tools.
Area of Science:
- Evolutionary biology
- Genomics
- Biodiversity research
Background:
- Accurate analysis of evolutionary processes requires efficient management of large, diverse genomic sequence data.
- Existing tools often lack integrated capabilities for handling evolutionary genomics and biodiversity data.
Purpose of the Study:
- To develop a comprehensive system, Evolutionary Genomics and Biodiversity (EGenBio), for managing and filtering large genomic sequence datasets.
- To facilitate accurate analysis and inference of evolutionary processes and genomic changes.
Main Methods:
- EGenBio integrates curated sequence alignments and phylogenetic trees.
- It offers tools for selecting, modifying, and filtering alignments within its Genomics division.
- The system includes tree-based navigation for species searches and tools for analyzing sequences and alignments in Biodiversity and Evolution divisions.
Main Results:
- EGenBio provides a structured platform with three divisions: Evolution, Genomics, and Biodiversity.
- It supports annotation of alignments with analytical results and modification history (PRAED format).
- The system is built on MySQL relational databases and dynamic page generation, utilizing custom programs.
Conclusions:
- EGenBio serves as a unified platform for tools and resources.
- It simplifies combined analyses in evolution, genomics, and biodiversity research.
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