基因组
工作流程
基因分型
计算生物学
基因组学
全基因组测序
DNA测序
注释
个人基因组学
纳米孔测序
生物
可扩展性
细菌基因组大小
计算机科学
遗传学
基因
基因型
数据库
作者
Weixin Wang,Xiangcheng Li,Yewei Lu
标识
DOI:10.1109/icbcb57893.2023.10246579
摘要
Whole-genome sequencing (WGS) provides a comprehensive view of the bacterial genome, enabling the identification of genetic determinants associated with antibiotic resistance, virulence, and other key clinical traits. Translating WGS data into the clinic requires a diverse collection of bioinformatics tools. Effectively using these analysis tools in a scalable and reproducible way can be challenging, especially for non-experts. We have developed the BacWGSpipe, an automated, scalable, reproducible, and open-source framework for bacterial genomics using WGS data from Illumina, PacBio and Nanopore platforms. BacWGSpipe combines some state-of-the-art tools to take genomic analysis from raw sequencing data through quality control, de novo genome assembly, genotyping, gene annotation and functional analysis, antimicrobial resistance (AMR), virulence and mobile genetic elements profiling, in addition to pangenome analysis, phylogenetic reconstruction and single-nucleotide polymorphism (SNP) variant calling. Once the analysis is finished, BacWGSpipe generates an interactive web-like html report. Using Snakemake and Conda, BacWGSpipe can be easily installed to any computation environment.
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