AI Article Synopsis
- A new toolkit has been created to facilitate whole genome alignment, processing, and analysis as long-read sequencing technologies advance, making individual complete genomes more accessible.
- This toolkit supports various formats and offers features like alignment-based variant calling and visualization, enabling effective population-level genome analysis.
- Developed in Rust for efficiency and safety, the software is free and open-source, available on GitHub, and capable of handling large datasets of numerous genomes.
Article Abstract
Summary: With the rapid development of long-read sequencing technologies, the era of individual complete genomes is approaching. We have developed , a cross-platform, ultrafast toolkit that supports a range of whole genome alignment (WGA) formats, offering practical tools for conversion, processing, statistical evaluation, and visualization of alignments, thereby facilitating population-level genome analysis and advancing functional and evolutionary genomics.
Availability And Implementation: supports diverse formats and can process, filter, and statistically evaluate alignments, perform alignment-based variant calling, and visualize alignments both locally and genome-wide. Built with Rust for efficiency and safe memory usage, it ensures fast performance and can handle large datasets consisting of hundreds of genomes. is published as free software under the MIT open-source license, and its source code is freely available at https://github.com/wjwei-handsome/wgatools.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11419180 | PMC |
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