Evidence map›Paper›PMID 32131723›Full record

ArticleBMC bioinformatics2020

Family reunion via error correction: an efficient analysis of duplex sequencing data.

Nicholas Stoler, Barbara Arbeithuber, Gundula Povysil, Monika Heinzl, Renato Salazar, Kateryna D Makova, Irene Tiemann-Boege, Anton Nekrutenko

Abstract read
In one paragraph

Article in BMC bioinformatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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  4. Article
  5. Advanced age increases frequencies of de novo mitochondrial mutations in macaque oocytes and somatic tissues.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  6. Article
  7. Article
  8. Article
  9. Article
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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

8 authors.

Nicholas StolerGraduate Program in Bioinformatics and Genomics, The Huck Institutes for Life Sciences, The Pennsylvania State University, University Park, PA, USA.
Barbara ArbeithuberDepartment of Biology, The Pennsylvania State University, University Park, PA, USA.
Gundula PovysilInstitut für Biophysik, Johannes Kepler Universität, Linz, Österreich, Austria.
Monika HeinzlInstitut für Biophysik, Johannes Kepler Universität, Linz, Österreich, Austria.
Renato SalazarInstitut für Biophysik, Johannes Kepler Universität, Linz, Österreich, Austria.
Kateryna D MakovaDepartment of Biology, The Pennsylvania State University, University Park, PA, USA. kdm16@psu.edu.
Irene Tiemann-BoegeInstitut für Biophysik, Johannes Kepler Universität, Linz, Österreich, Austria. irene.tiemann@jku.at.
Anton NekrutenkoGraduate Program in Bioinformatics and Genomics, The Huck Institutes for Life Sciences, The Pennsylvania State University, University Park, PA, USA. aun1@psu.edu.ORCID http://orcid.org/0000-0002-5987-8032

Funding

Computation, Bioinformatics, and Statistics (CBIOS) Training ProgramT32GM102057 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI CHIAROMONTE, FRANCESCA, GIRIRAJAN, SANTHOSH · 2013 to 2022
$2.7M
The Dynamics of Mitochondrial MutationsR01GM116044 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI MAKOVA, KATERYNA, NIELSEN, RASMUS · 2015 to 2018
$2.4M
Austrian Science Fund FWF J 4096Austrian Science Fund FWF P 30867NIGMS NIH HHS R01 GM116044NIGMS NIH HHS T32 GM102057
6 · The paper itself

Abstract

backgroundDuplex sequencing is the most accurate approach for identification of sequence variants present at very low frequencies. Its power comes from pooling together multiple descendants of both strands of original DNA molecules, which allows distinguishing true nucleotide substitutions from PCR amplification and sequencing artifacts. This strategy comes at a cost-sequencing the same molecule multiple times increases dynamic range but significantly diminishes coverage, making whole genome duplex sequencing prohibitively expensive. Furthermore, every duplex experiment produces a substantial proportion of singleton reads that cannot be used in the analysis and are thrown away.

resultsIn this paper we demonstrate that a significant fraction of these reads contains PCR or sequencing errors within duplex tags. Correction of such errors allows "reuniting" these reads with their respective families increasing the output of the method and making it more cost effective.

conclusionsWe combine an error correction strategy with a number of algorithmic improvements in a new version of the duplex analysis software, Du Novo 2.0. It is written in Python, C, AWK, and Bash. It is open source and readily available through Galaxy, Bioconda, and Github: https://github.com/galaxyproject/dunovo.

Indexed as

User-Computer InterfaceAlgorithmsDNAHumansSequence AlignmentSequence Analysis, DNADNABarcodesDuplex sequenceError correctionLow frequency variants

Identifiers

PMID32131723
PMCPMC7057607

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.