Evidence map›Paper›PMID 23132505›Full record

ArticleTranscription

D-peaks: a visual tool to display ChIP-seq peaks along the genome.

Sylvain Brohée, Gianluca Bontempi

Abstract read
In one paragraph

Article in Transcription. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Sylvain BrohéeMachine Learning Group, Computer Science Department, Faculté des Sciences, Université Libre de Bruxelles, Brussels, Belgium. sbrohee@ulb.ac.be
Gianluca Bontempi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ChIP-sequencing is a method of choice to localize the positions of protein binding sites on DNA on a whole genomic scale. The deciphering of the sequencing data produced by this novel technique is challenging and it is achieved by their rigorous interpretation using dedicated tools and adapted visualization programs. Here, we present a bioinformatics tool (D-peaks) that adds several possibilities (including, user-friendliness, high-quality, relative position with respect to the genomic features) to the well-known visualization browsers or databases already existing. D-peaks is directly available through its web interface http://rsat.ulb.ac.be/dpeaks/ as well as a command line tool.

Indexed as

Chromatin ImmunoprecipitationSoftwareAnimalsBinding SitesComputational BiologyDNAGenomeHigh-Throughput Nucleotide SequencingHumansProtein BindingSequence Analysis, DNADNAbioinformaticsChIPseqhigh-throughput sequencingtranscription factorvisualization

Identifiers

PMID23132505
PMCPMC3632623

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.