Evidence map›Paper›PMID 21931761›Full record

ArticlePloS one2011

AMD, an automated motif discovery tool using stepwise refinement of gapped consensuses.

Jiantao Shi, Wentao Yang, Mingjie Chen, Yanzhi Du, Ji Zhang, Kankan Wang

Abstract read
In one paragraph

Article in PloS one, 2011. 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
–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

15 citing papers in PubMed.

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  8. The Inducible Response of the NematodeFrontiers in microbiology · 2019
    Article
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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

6 authors.

Jiantao ShiKey Laboratory of Stem Cell Biology, Institute of Health Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China.
Wentao Yang
Mingjie Chen
Yanzhi Du
Ji Zhang
Kankan Wang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motif discovery is essential for deciphering regulatory codes from high throughput genomic data, such as those from ChIP-chip/seq experiments. However, there remains a lack of effective and efficient methods for the identification of long and gapped motifs in many relevant tools reported to date. We describe here an automated tool that allows for de novo discovery of transcription factor binding sites, regardless of whether the motifs are long or short, gapped or contiguous.

Indexed as

AlgorithmsAmino Acid MotifsAnimalsAutomationBinding SitesChromatin ImmunoprecipitationComputational BiologyDNAGene Expression ProfilingGene Expression RegulationGenomicsHumansModels, StatisticalOligonucleotide Array Sequence AnalysisReproducibility of ResultsSensitivity and SpecificityDNATranscription Factors

Identifiers

PMID21931761
PMCPMC3171486

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.