Evidence map›Paper›PMID 20459626›Full record

ArticleBMC bioinformatics2010

BISMA--fast and accurate bisulfite sequencing data analysis of individual clones from unique and repetitive sequences.

Christian Rohde, Yingying Zhang, Richard Reinhardt, Albert Jeltsch

Abstract read
In one paragraph

Article in BMC bioinformatics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 144 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
144citing papers in PubMed, 1 pooled it
–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

144 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  4. In search of epigenetic hallmarks of different tissues: an integrative omics study of horse liver, lung, and heart.Mammalian genome : official journal of the International Mammalian Genome Society · 2024
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  9. mEpigenetics · 2022
    Article
  10. Adaptation ofInternational journal of molecular sciences · 2022
    Article
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  19. Article
  20. Aptamer-mediated transcriptional gene silencing ofMolecular therapy. Nucleic acids · 2021
    Article

84 more citing papers are in PubMed but not listed here.

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

4 authors.

Christian RohdeSchool of Engineering and Science, Jacobs University Bremen, Campus Ring 1, 28725 Bremen, Germany.
Yingying Zhang
Richard Reinhardt
Albert Jeltsch

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBisulfite sequencing is a popular method to analyze DNA methylation patterns at high resolution. A region of interest is targeted by PCR and about 20-50 subcloned DNA molecules are usually analyzed, to determine the methylation status at single CpG sites and molecule resolution.

resultsThe BISMA (Bisulfite Sequencing DNA Methylation Analysis) software for analysis of primary bisulfite sequencing data implements sequencing data extraction and enhanced data processing, quality controls, analysis and presentation of the methylation state. It uses an improved strategy for detection of clonal molecules and accurate CpG site detection and it supports for the first time analysis of repetitive sequences.

conclusionsBISMA works highly automated but still provides the user full control over all steps of the analysis. The BISMA software is freely available as an online tool for academic purposes for the analysis of bisulfite sequencing data from both unique and repetitive sequences http://biochem.jacobs-university.de/BDPC/BISMA/.

Indexed as

Repetitive Sequences, Nucleic AcidSoftwareBase SequenceClone CellsDNADNA MethylationGenomicsMolecular Sequence DataSequence AlignmentSequence Analysis, DNASulfitesUser-Computer InterfaceDNAhydrogen sulfiteSulfites

Identifiers

PMID20459626
PMCPMC2877691

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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.