BLITSFR: scalable comparative genomics with self-contained interactive single file report.

IF 2.6 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Bioinformatics advances Pub Date : 2026-09-25 eCollection Date: 2026-01-01 DOI:10.1093/bioadv/vbag282
Budi Permana, Thom Cuddihy, Brian M Forde
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引用次数: 0

Abstract

Motivation: Comparative genomics routinely requires the alignment of query genomes against a reference to delineate conserved and variable regions, yet existing tools often produce static visualisations or necessitate centralised web services and data uploads.

Results: To address this, we present BLITSFR (BLAST Interactive Tracks in Single-File Report), a command-line tool that compares query genomes against a reference and returns a single interactive HTML file. The report opens in any modern browser, requiring no server or data upload, and lets users explore conserved and variable regions across the genomes. BLITSFR handles both assembled genomes and raw reads, and processes hundreds of genomes in minutes on a standard laptop with genome tracks sorting, filtering, and colouring by metadata are performed within the report, without requirement for re-running the analysis. We demonstrate its utility by analysing vancomycin-resistant Enterococcus faecium ST78 genomes to confirm the conservation of Tn1549-like transposons and a case of β-lactam-resistant Corynebacterium diphtheriae, where coverage depth resolved resistance transposon copy number.

Availability and implementation: BLITSFR and SCIFR are freely available at the provided GitHub repositories (https://github.com/nalarbp/blitsfr, https://github.com/nalarbp/scifr).

BLITSFR:可扩展的比较基因组学与自包含的交互式单文件报告。
动机:比较基因组学通常需要对查询基因组进行比对,以描述保守的和可变的区域,然而现有的工具经常产生静态的可视化,或者需要集中的网络服务和数据上传。结果:为了解决这个问题,我们提出了BLITSFR (BLAST交互式跟踪单文件报告),这是一个命令行工具,可以将查询基因组与引用进行比较,并返回单个交互式HTML文件。该报告可以在任何现代浏览器中打开,不需要服务器或数据上传,并允许用户探索基因组中的保守和可变区域。BLITSFR处理组装基因组和原始读取,并在标准笔记本电脑上处理数百个基因组,基因组轨迹排序,过滤和元数据着色在报告中执行,无需重新运行分析。我们通过分析耐万古霉素的屎肠球菌ST78基因组来证实tn1549样转座子的保守性,以及一个耐β-内酰胺的白喉链杆菌,其中覆盖深度决定了耐药转座子拷贝数。可用性和实现:BLITSFR和SCIFR在提供的GitHub存储库(https://github.com/nalarbp/blitsfr, https://github.com/nalarbp/scifr)中免费提供。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
1.60
自引率
0.00%
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