Evidence map›Paper›PMID 39339920›Full record

ArticleViruses2024

CIEVaD: A Lightweight Workflow Collection for the Rapid and On-Demand Deployment of End-to-End Testing for Genomic Variant Detection.

Thomas Krannich, Dimitri Ternovoj, Sofia Paraskevopoulou, Stephan Fuchs

Abstract read
In one paragraph

Article in Viruses, 2024. 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

4 authors.

Thomas KrannichGenome Competence Center, Robert Koch Institute, Nordufer 20, 13353 Berlin, Germany.ORCID 0000-0002-5525-1849
Dimitri TernovojGenome Competence Center, Robert Koch Institute, Nordufer 20, 13353 Berlin, Germany.
Sofia ParaskevopoulouGenome Competence Center, Robert Koch Institute, Nordufer 20, 13353 Berlin, Germany.ORCID 0000-0003-2608-2596
Stephan FuchsGenome Competence Center, Robert Koch Institute, Nordufer 20, 13353 Berlin, Germany.ORCID 0000-0002-1338-2699

Funding

European Centre for Disease Prevention and Control IMS-HERA2, 101113012Federal Ministry of Health IMS-RKI
6 · The paper itself

Abstract

The identification of genomic variants has become a routine task in the age of genome sequencing. In particular, small genomic variants of a single or few nucleotides are routinely investigated for their impact on an organism's phenotype. Hence, the precise and robust detection of the variants' exact genomic locations and changes in nucleotide composition is vital in many biological applications. Although a plethora of methods exist for the many key steps of variant detection, thoroughly testing the detection process and evaluating its results is still a cumbersome procedure. In this work, we present a collection of easy-to-apply and highly modifiable workflows to facilitate the generation of synthetic test data, as well as to evaluate the accordance of a user-provided set of variants with the test data. The workflows are implemented in Nextflow and are open-source and freely available on Github under the GPL-3.0 license.

Indexed as

Genetic VariationGenomicsSoftwareWorkflowComputational BiologyHigh-Throughput Nucleotide SequencingHumanscontinuous integrationevaluationgenomicstestingvariant detection

Identifiers

PMID39339920
PMCPMC11437481

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.