Statistical and computational challenges in molecular phylogenetics and evolution
2008
Statistical Challenges in Molecular Phylogenetics
publication
Author Information
Author(s): Nick Goldman, Ziheng Yang
Primary Institution: EMBL-European Bioinformatics Institute
Conclusion
The study highlights the statistical and computational challenges faced in molecular phylogenetics and evolution, emphasizing the need for improved methods to handle increasing data complexity.
Supporting Evidence
- The growth of sequence databases is exponential, outpacing Moore's Law.
- Increased sequencing allows for studies of ancient remains and environmental samples.
- Complex analyses are sometimes necessary to achieve accurate results in phylogenetics.
Takeaway
Scientists are trying to understand how living things are related by looking at their DNA, but it's getting harder because there's so much data to analyze.
Digital Object Identifier (DOI)
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