Evidence map›Paper›PMID 30400848›Full record

ArticleBMC genomics2018

Correcting palindromes in long reads after whole-genome amplification.

Sven Warris, Elio Schijlen, Henri van de Geest, Rahulsimham Vegesna, Thamara Hesselink, Bas Te Lintel Hekkert, Gabino Sanchez Perez, Paul Medvedev, Kateryna D Makova, Dick de Ridder

Abstract read
In one paragraph

Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Long-read metagenomics of multiple displacement amplified DNA of low-biomass human gut phageomes by SACRA pre-processing chimeric reads.DNA research : an international journal for rapid publication of reports on genes and genomes · 2021
    Article
  11. Article
  12. Article
  13. Dynamic evolution of great ape Y chromosomes.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  14. Article
  15. 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

10 authors.

Sven WarrisApplied Bioinformatics, Wageningen University and Research, Wageningen, The Netherlands. sven.warris@wur.nl.ORCID http://orcid.org/0000-0002-9408-9151
Elio SchijlenApplied Bioinformatics, Wageningen University and Research, Wageningen, The Netherlands.
Henri van de GeestApplied Bioinformatics, Wageningen University and Research, Wageningen, The Netherlands.
Rahulsimham VegesnaBioinformatics and Genomics Graduate Program, Pennsylvania State University, University Park, State College, PA, 16802, USA.
Thamara HesselinkApplied Bioinformatics, Wageningen University and Research, Wageningen, The Netherlands.
Bas Te Lintel HekkertApplied Bioinformatics, Wageningen University and Research, Wageningen, The Netherlands.
Gabino Sanchez PerezApplied Bioinformatics, Wageningen University and Research, Wageningen, The Netherlands.
Paul MedvedevThe Center for Computational Biology and Bioinformatics, Pennsylvania State University, University Park, State College, PA, 16802, USA.
Kateryna D MakovaThe Center for Medical Genomics, Pennsylvania State University, University Park, State College, PA, 16802, USA.
Dick de RidderBioinformatics Group, Wageningen University and Research, Wageningen, The Netherlands.

Funding

Computation, Bioinformatics, and Statistics (CBIOS) Training ProgramT32GM102057 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI CHIAROMONTE, FRANCESCA, GIRIRAJAN, SANTHOSH · 2013 to 2022
$2.7M
National Institutes of Health 1T32GM102057-0A1National Science Foundation CCF-1439057National Science Foundation DBI-1356529National Science Foundation DBI-ABI 0965596National Science Foundation IIS-1421908National Science Foundation IIS-1453527NIGMS NIH HHS T32 GM102057
6 · The paper itself

Abstract

backgroundNext-generation sequencing requires sufficient DNA to be available. If limited, whole-genome amplification is applied to generate additional amounts of DNA. Such amplification often results in many chimeric DNA fragments, in particular artificial palindromic sequences, which limit the usefulness of long sequencing reads.

resultsHere, we present Pacasus, a tool for correcting such errors. Two datasets show that it markedly improves read mapping and de novo assembly, yielding results similar to these that would be obtained with non-amplified DNA.

conclusionsWith Pacasus long-read technologies become available for sequencing targets with very small amounts of DNA, such as single cells or even single chromosomes.

Indexed as

AlgorithmsAnimalsArabidopsisDNAGorilla gorillaNucleotidesResearch DesignSequence Analysis, DNAWhole Genome SequencingY ChromosomeDNANucleotidesChimeric readsde novo assemblyHigh molecular weight DNALong read sequencingPalindromesRead mappingWhole-genome amplification

Identifiers

PMID30400848
PMCPMC6218980

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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.