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ALPHA: a toolkit for Automated Local PHylogenomic Analyses
R A Leo Elworth1, Chabrielle Allen1, Travis Benedict1
1Computer Science, Rice University, Houston, USA.
Bioinformatics (Oxford, England)
|March 22, 2018
Summary
This study introduces ALPHA, a toolkit for automated local phylogenomic analyses. It helps researchers analyze local genealogies and evolutionary processes within genomic data.
Area of Science:
- Genomics
- Evolutionary Biology
- Bioinformatics
Background:
- Genomic alignments can exhibit varying evolutionary histories across different regions, known as local genealogies.
- Understanding these local genealogies is crucial for accurate species phylogeny, evolutionary process inference, and trait mapping.
Purpose of the Study:
- To introduce ALPHA (Automated Local Phylogenomic Analyses), a novel toolkit designed for automated inference and analysis of local genealogies.
- To provide a comprehensive suite of functionalities for researchers working with local genomic data.
Main Methods:
- The toolkit employs a sliding window approach to construct local genealogies from genomic alignments.
- It calculates various local phylogeny-based statistics, including the D-statistic.
Main Results:
- ALPHA offers automated inference of local genealogies.
- The toolkit includes a graphical user interface and supports multiple import/export formats.
Conclusions:
- ALPHA complements existing phylogenomic tools by focusing on the 'local' aspect of genomic analysis.
- This toolkit facilitates deeper insights into evolutionary processes at a finer genomic scale.
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