Evidence map›Paper›PMID 35764934›Full record

ArticleBMC genomics2022

Manipulating base quality scores enables variant calling from bisulfite sequencing alignments using conventional bayesian approaches.

Adam Nunn, Christian Otto, Mario Fasold, Peter F Stadler, David Langenberger

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2022. 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
1.4field-weighted citation impact, top 19% of its field
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, 19 citations in OpenAlex.

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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

5 authors at 2 institutions in 5 countries.

Adam Nunn *ecSeq Bioinformatics GmbH, Sternwartenstraße 29, Leipzig, 04103, Germany.
Christian Otto *ecSeq Bioinformatics GmbH, Sternwartenstraße 29, Leipzig, 04103, Germany.
Mario FasoldecSeq Bioinformatics GmbH, Sternwartenstraße 29, Leipzig, 04103, Germany.
Peter F StadlerDepartment of Computer Science, University of Leipzig, Härtelstraße 16-18, Leipzig, 04107, Germany.
David LangenbergerecSeq Bioinformatics GmbH, Sternwartenstraße 29, Leipzig, 04103, Germany. david.langenberger@ecseq.com.ORCID http://orcid.org/0000-0001-9424-9701
Telstra (Australia) · AUUniversity of Vienna · AT

Funding

H2020 Marie Sklodowska-Curie Actions 764965
6 · The paper itself

Abstract

backgroundCalling germline SNP variants from bisulfite-converted sequencing data poses a challenge for conventional software, which have no inherent capability to dissociate true polymorphisms from artificial mutations induced by the chemical treatment. Nevertheless, SNP data is desirable both for genotyping and to understand the DNA methylome in the context of the genetic background. The confounding effect of bisulfite conversion however can be conceptually resolved by observing differences in allele counts on a per-strand basis, whereby artificial mutations are reflected by non-complementary base pairs.

resultsHerein, we present a computational pre-processing approach for adapting sequence alignment data, thus indirectly enabling downstream analysis on a per-strand basis using conventional variant calling software such as GATK or Freebayes. In comparison to specialised tools, the method represents a marked improvement in precision-sensitivity based on high-quality, published benchmark datasets for both human and model plant variants.

conclusionThe presented "double-masking" procedure represents an open source, easy-to-use method to facilitate accurate variant calling using conventional software, thus negating any dependency on specialised tools and mitigating the need to generate additional, conventional sequencing libraries alongside bisulfite sequencing experiments. The method is available at https://github.com/bio15anu/revelio and an implementation with Freebayes is available at https://github.com/EpiDiverse/SNP.

Indexed as

High-Throughput Nucleotide SequencingBayes TheoremHumansSequence AlignmentSequence Analysis, DNASulfiteshydrogen sulfiteSulfitesBenchmarkingBisulfite sequencingDNA methylationEpigeneticsEpigenomicsGenetic variantGenotypeSNP

Identifiers

PMID35764934
PMCPMC9237988
OpenAlexW4283661028

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.