Evidence map›Paper›PMID 35643449›Full record

ArticleBMC bioinformatics2022

ClusTRace, a bioinformatic pipeline for analyzing clusters in virus phylogenies.

Ilya Plyusnin, Phuoc Thien Truong Nguyen, Tarja Sironen, Olli Vapalahti, Teemu Smura, Ravi Kant

Abstract read
In one paragraph

Article in BMC bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Ilya PlyusninDepartment of Veterinary Bioscience, University of Helsinki, 00014, Helsinki, Finland. Ilja.Pljusnin@helsinki.fi.ORCID http://orcid.org/0000-0001-5988-0901
Phuoc Thien Truong NguyenDepartment of Virology, University of Helsinki, 00014, Helsinki, Finland.
Tarja SironenDepartment of Veterinary Bioscience, University of Helsinki, 00014, Helsinki, Finland.
Olli VapalahtiDepartment of Veterinary Bioscience, University of Helsinki, 00014, Helsinki, Finland.
Teemu Smura *Department of Virology, University of Helsinki, 00014, Helsinki, Finland.
Ravi Kant *Department of Veterinary Bioscience, University of Helsinki, 00014, Helsinki, Finland.

Funding

Academy of Finland 336490Academy of Finland 339510Helsingin ja Uudenmaan Sairaanhoitopiiri TYH2018322Helsingin ja Uudenmaan Sairaanhoitopiiri TYH2021343Horizon 2020 874735
6 · The paper itself

Abstract

backgroundSARS-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.

resultsHere 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 lineage assignment, outlier filtering, aligning, phylogenetic tree reconstruction, cluster extraction, variant calling, visualization and reporting. ClusTRace was developed as an aid for COVID-19 transmission chain tracing in Finland with the main emphasis on fast 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.

conclusionsClusTRace provides an effective interface that can significantly cut down learning and operating costs related to complex bioinformatic analysis of large viral sequence sets and phylogenies. All code is freely available from https://bitbucket.org/plyusnin/clustrace/.

Indexed as

Computational BiologyCOVID-19DNA VirusesHumansPhylogenySARS-CoV-2Cluster analysisPhylogenetic analysisSARS-CoV-2Variant callingVirus

Identifiers

PMID35643449
PMCPMC9143711

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.