Evidence map›Paper›PMID 31106358›Full record

ArticleNucleic acids research2019

EPIC-TABSAT: analysis tool for targeted bisulfite sequencing experiments and array-based methylation studies.

Julie Krainer, Andreas Weinhäusel, Karel Hanak, Walter Pulverer, Seza Özen, Klemens Vierlinger, Stephan Pabinger

Abstract read
In one paragraph

Article in Nucleic acids research, 2019. 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

7 authors.

Julie KrainerAustrian Institute of Technology, Center for Health & Bioresources, Molecular Diagnostics, Giefinggasse 4, 1210 Vienna, Austria.
Andreas WeinhäuselAustrian Institute of Technology, Center for Health & Bioresources, Molecular Diagnostics, Giefinggasse 4, 1210 Vienna, Austria.
Karel HanakAustrian Institute of Technology, Center for Health & Bioresources, Molecular Diagnostics, Giefinggasse 4, 1210 Vienna, Austria.
Walter PulvererAustrian Institute of Technology, Center for Health & Bioresources, Molecular Diagnostics, Giefinggasse 4, 1210 Vienna, Austria.
Seza ÖzenDepartment of Pediatric Rheumatology, Hacettepe University, Hacettepe Hst., 06230 Ankara, Turkey.
Klemens VierlingerAustrian Institute of Technology, Center for Health & Bioresources, Molecular Diagnostics, Giefinggasse 4, 1210 Vienna, Austria.
Stephan PabingerAustrian Institute of Technology, Center for Health & Bioresources, Molecular Diagnostics, Giefinggasse 4, 1210 Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA methylation is one of the major epigenetic modifications and has frequently demonstrated its suitability as diagnostic and prognostic biomarker. In addition to chip and sequencing based epigenome wide methylation profiling methods, targeted bisulfite sequencing (TBS) has been established as a cost-effective approach for routine diagnostics and target validation applications. Yet, an easy-to-use tool for the analysis of TBS data in combination with array-based methylation results has been missing. Consequently, we have developed EPIC-TABSAT, a user-friendly web-based application for the analysis of targeted sequencing data that additionally allows the integration of array-based methylation results. The tool can handle multiple targets as well as multiple sequencing files in parallel and covers the complete data analysis workflow from calculation of quality metrics to methylation calling and interactive result presentation. The graphical user interface offers an unprecedented way to interpret TBS data alone or in combination with array-based methylation studies. Together with the computation of target-specific epialleles it is useful in validation, research, and routine diagnostic environments. EPIC-TABSAT is freely accessible to all users at https://tabsat.ait.ac.at/.

Indexed as

Sequence Analysis, DNASoftwareDatabases, GeneticDNA MethylationEpigenesis, GeneticGenome, HumanHumans

Identifiers

PMID31106358
PMCPMC6602470

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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.