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BioinformaticsBMC Bioinformatics
Peer-reviewed journal article

ClusTRace, a bioinformatic pipeline for analyzing clusters in virus phylogenies

Ilya Plyusnin, Phuoc Truong NguyeniD, Tarja A. SironeniD, Olli P. VapalahtiiD, Teemu SmuraiD, Ravi KantiD

Abstract

SummarySARS-CoV-2 is the highly transmissible etiologic agent of coronavirus disease 2019 (COVID-19) and has become a global scientific and public health challenge since December 2019. Several new variants of SARS-CoV-2 have emerged globally raising concern about prevention and treatment of COVID-19. Early detection and in depth analysis of the emerging variants allowing pre-emptive alert and mitigation efforts are thus of paramount importance. Here we present ClusTRace, a novel bioinformatic pipeline for a fast and scalable analysis of sequence clusters or clades in large viral phylogenies. ClusTRace offers several high level functionalities including outlier filtering, aligning, phylogenetic tree reconstruction, cluster or clade extraction, variant calling, visualization and reporting. ClusTRace was developed as an aid for COVID-19 transmission chain tracing in Finland and the main emphasis has been on fast and unsupervised screening of phylogenies for markers of super-spreading events and other features of concern, such as high rates of cluster growth and/or accumulation of novel mutations. AvailabilityAll code is freely available from https://bitbucket.org/plyusnin/clustrace/

PDFDOICode

02 /Specification & Classification

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