Evidence map›Paper›PMID 25925574›Full record

ArticleNucleic acids research2015

i-cisTarget 2015 update: generalized cis-regulatory enrichment analysis in human, mouse and fly.

Hana Imrichová, Gert Hulselmans, Zeynep Kalender Atak, Delphine Potier, Stein Aerts

Abstract read
In one paragraph

Article in Nucleic acids research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 138 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
138citing 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

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

  1. Pooled it
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  17. A genome-wide survey reveals a diverse array of enhancers coordinate thebioRxiv : the preprint server for biology · 2025
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78 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

5 authors.

Hana ImrichováLaboratory of Computational Biology, Center for Human Genetics, University of Leuven, 3000 Leuven, Belgium.
Gert HulselmansLaboratory of Computational Biology, Center for Human Genetics, University of Leuven, 3000 Leuven, Belgium.
Zeynep Kalender AtakLaboratory of Computational Biology, Center for Human Genetics, University of Leuven, 3000 Leuven, Belgium.
Delphine PotierLaboratory of Computational Biology, Center for Human Genetics, University of Leuven, 3000 Leuven, Belgium.
Stein AertsLaboratory of Computational Biology, Center for Human Genetics, University of Leuven, 3000 Leuven, Belgium stein.aerts@med.kuleuven.be.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

i-cisTarget is a web tool to predict regulators of a set of genomic regions, such as ChIP-seq peaks or co-regulated/similar enhancers. i-cisTarget can also be used to identify upstream regulators and their target enhancers starting from a set of co-expressed genes. Whereas the original version of i-cisTarget was focused on Drosophila data, the 2015 update also provides support for human and mouse data. i-cisTarget detects transcription factor motifs (position weight matrices) and experimental data tracks (e.g. from ENCODE, Roadmap Epigenomics) that are enriched in the input set of regions. As experimental data tracks we include transcription factor ChIP-seq data, histone modification ChIP-seq data and open chromatin data. The underlying processing method is based on a ranking-and-recovery procedure, allowing accurate determination of enrichment across heterogeneous datasets, while also discriminating direct from indirect target regions through a 'leading edge' analysis. We illustrate i-cisTarget on various Ewing sarcoma datasets to identify EWS-FLI1 targets starting from ChIP-seq, differential ATAC-seq, differential H3K27ac and differential gene expression data. Use of i-cisTarget is free and open to all, and there is no login requirement. Address: http://gbiomed.kuleuven.be/apps/lcb/i-cisTarget.

Indexed as

Regulatory Elements, TranscriptionalSoftwareAnimalsBinding SitesBone NeoplasmsChromatin ImmunoprecipitationDrosophilaEnhancer Elements, GeneticGene Expression ProfilingGenomicsHumansInternetMiceSarcoma, EwingSequence Analysis, DNATranscription FactorsTranscription Factors

Identifiers

PMID25925574
PMCPMC4489282

What OpenQuestion holds

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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.