Evidence map›Paper›PMID 36824522›Full record

ArticleGigaByte (Hong Kong, China)2022

svaRetro and svaNUMT: modular packages for annotating retrotransposed transcripts and nuclear integration of mitochondrial DNA in genome sequencing data.

Ruining Dong, Daniel Cameron, Justin Bedo, Anthony T Papenfuss

Abstract read
In one paragraph

Article in GigaByte (Hong Kong, China), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Ruining DongBioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia.ORCID https://orcid.org/0000-0003-1433-0484
Daniel CameronBioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia.ORCID https://orcid.org/0000-0002-0951-7116
Justin BedoBioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia.ORCID https://orcid.org/0000-0001-5704-0212
Anthony T PapenfussBioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia.ORCID https://orcid.org/0000-0002-1102-8506

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nuclear integration of mitochondrial genomes and retrocopied transcript insertion are biologically important but often-overlooked aspects of structural variant (SV) annotation. While tools for their detection exist, these typically rely on reanalysis of primary data using specialised detectors rather than leveraging calls from general purpose structural variant callers. Such reanalysis potentially leads to additional computational expense and does not take advantage of advances in general purpose structural variant calling. Here, we present svaRetro and svaNUMT; R packages that provide functions for annotating novel genomic events, such as nonreference retrocopied transcripts and nuclear integration of mitochondrial DNA. The packages were developed to work within the Bioconductor framework. We evaluate the performance of these packages to detect events using simulations and public benchmarking datasets, and annotate processed transcripts in a public structural variant database. svaRetro and svaNUMT provide modular, SV-caller agnostic tools for downstream annotation of structural variant calls.

Identifiers

PMID36824522
PMCPMC9694029

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Registered trials

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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.