期刊论文详细信息
BMC Bioinformatics
COVID-profiler: a webserver for the analysis of SARS-CoV-2 sequencing data
Jody Phelan1  Wouter Deelder1  Susana Campino1  Martin L. Hibberd1  Taane G. Clark1  Daniel Ward1 
[1] Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine;
关键词: NGS;    Sequencing;    Sars-Cov-2;    Phylogenetics;   
DOI  :  10.1186/s12859-022-04632-y
来源: DOAJ
【 摘 要 】

Abstract Background SARS-CoV-2 virus sequencing has been applied to track the COVID-19 pandemic spread and assist the development of PCR-based diagnostics, serological assays, and vaccines. With sequencing becoming routine globally, bioinformatic tools are needed to assist in the robust processing of resulting genomic data. Results We developed a web-based bioinformatic pipeline (“COVID-Profiler”) that inputs raw or assembled sequencing data, displays raw alignments for quality control, annotates mutations found and performs phylogenetic analysis. The pipeline software can be applied to other (re-) emerging pathogens. Conclusions The webserver is available at http://genomics.lshtm.ac.uk/ . The source code is available at https://github.com/jodyphelan/covid-profiler .

【 授权许可】

Unknown   

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