Evidence map›Paper›PMID 34805989›Full record

ArticleNAR genomics and bioinformatics2021

EpiDiverse Toolkit: a pipeline suite for the analysis of bisulfite sequencing data in ecological plant epigenetics.

Adam Nunn, Sultan Nilay Can, Christian Otto, Mario Fasold, Bárbara Díez Rodríguez, Noé Fernández-Pozo, Stefan A Rensing, Peter F Stadler, David Langenberger

Abstract read
In one paragraph

Article in NAR genomics and bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

9 authors.

Adam NunnecSeq Bioinformatics GmbH, Leipzig 04103, Germany.ORCID https://orcid.org/0000-0002-9276-6243
Sultan Nilay CanDeparment of Biology, University of Marburg, Marburg 35043, Germany.ORCID https://orcid.org/0000-0002-5771-7374
Christian OttoecSeq Bioinformatics GmbH, Leipzig 04103, Germany.ORCID https://orcid.org/0000-0001-6231-9648
Mario FasoldecSeq Bioinformatics GmbH, Leipzig 04103, Germany.ORCID https://orcid.org/0000-0001-8299-4149
Bárbara Díez RodríguezDeparment of Biology, University of Marburg, Marburg 35043, Germany.ORCID https://orcid.org/0000-0003-3534-7197
Noé Fernández-PozoDeparment of Biology, University of Marburg, Marburg 35043, Germany.ORCID https://orcid.org/0000-0002-6489-5566
Stefan A RensingDeparment of Biology, University of Marburg, Marburg 35043, Germany.ORCID https://orcid.org/0000-0002-0225-873X
Peter F StadlerInstitute for Computer Science, University of Leipzig, Leipzig 04107, Germany.ORCID https://orcid.org/0000-0002-5016-5191
David LangenbergerecSeq Bioinformatics GmbH, Leipzig 04103, Germany.ORCID https://orcid.org/0000-0001-9424-9701

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The expanding scope and scale of next generation sequencing experiments in ecological plant epigenetics brings new challenges for computational analysis. Existing tools built for model data may not address the needs of users looking to apply these techniques to non-model species, particularly on a population or community level. Here we present a toolkit suitable for plant ecologists working with whole genome bisulfite sequencing; it includes pipelines for mapping, the calling of methylation values and differential methylation between groups, epigenome-wide association studies, and a novel implementation for both variant calling and discriminating between genetic and epigenetic variation.

Identifiers

PMID34805989
PMCPMC8598301

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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.