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Progressive Cactus is a multiple-genome aligner for the thousand-genome era
Joel Armstrong1, Glenn Hickey1, Mark Diekhans1
1UC Santa Cruz Genomics Institute, UC Santa Cruz, Santa Cruz, CA, USA.
New genome analysis methods are needed due to rapid increases in sequencing data. Progressive Cactus enables large-scale, reference-free alignment of thousands of vertebrate genomes with high accuracy.
Area of Science:
- Genomics
- Bioinformatics
- Computational Biology
Background:
- Sequencing costs have decreased, and third-generation technologies have improved, leading to a rapid increase in new genome assemblies.
- The NCBI database saw a >50% rise in vertebrate genome assemblies (to 1,485) between July 2018 and July 2019.
- New human de novo assemblies allow analysis of small polymorphisms and large structural differences.
Purpose of the Study:
- To address the challenges posed by the unprecedented scale of genomic data for evolutionary insights.
- To adapt existing genome analysis methods for increased data scale.
- To develop a scalable multiple genome alignment program.
Main Methods:
- Progressive extensions were made to the Cactus program, a reference-free multiple genome alignment tool.
- The enhanced program, Progressive Cactus, was designed to handle tens to thousands of large vertebrate genomes.
- The method was tested on an alignment of over 600 amniote genomes.
Main Results:
- Progressive Cactus enables reference-free alignment of tens to thousands of large vertebrate genomes.
- The program maintains high alignment quality even with a large number of genomes.
- The study produced the largest multiple vertebrate genome alignment to date, with over 600 amniote genomes.
Conclusions:
- Progressive Cactus overcomes the scalability limitations of previous methods for multiple genome alignment.
- The developed method facilitates the analysis of large-scale genomic data, enabling new insights into genome evolution.
- This advancement supports the analysis of thousands of genomes, pushing the boundaries of comparative genomics.
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