Wenjie Wei, Songtao Gui, Jian Yang, Erik Garrison, Jianbing Yan, Hai-Jun Liu
{"title":"wgatools: an ultrafast toolkit for manipulating whole genome alignments","authors":"Wenjie Wei, Songtao Gui, Jian Yang, Erik Garrison, Jianbing Yan, Hai-Jun Liu","doi":"arxiv-2409.08569","DOIUrl":null,"url":null,"abstract":"Summary: With the rapid development of long-read sequencing technologies, the\nera of individual complete genomes is approaching. We have developed wgatools,\na cross-platform, ultrafast toolkit that supports a range of whole genome\nalignment (WGA) formats, offering practical tools for conversion, processing,\nstatistical evaluation, and visualization of alignments, thereby facilitating\npopulation-level genome analysis and advancing functional and evolutionary\ngenomics. Availability and Implementation: wgatools supports diverse formats\nand can process, filter, and statistically evaluate alignments, perform\nalignment-based variant calling, and visualize alignments both locally and\ngenome-wide. Built with Rust for efficiency and safe memory usage, it ensures\nfast performance and can handle large datasets consisting of hundreds of\ngenomes. wgatools is published as free software under the MIT open-source\nlicense, and its source code is freely available at\nhttps://github.com/wjwei-handsome/wgatools. Contact: weiwenjie@westlake.edu.cn\n(W.W.) or liuhaijun@yzwlab.cn (H.-J.L.).","PeriodicalId":501070,"journal":{"name":"arXiv - QuanBio - Genomics","volume":"18 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuanBio - Genomics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.08569","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Summary: With the rapid development of long-read sequencing technologies, the
era of individual complete genomes is approaching. We have developed wgatools,
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: wgatools 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. wgatools 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. Contact: weiwenjie@westlake.edu.cn
(W.W.) or liuhaijun@yzwlab.cn (H.-J.L.).