Evidence map›Paper›PMID 26226151›Full record

ArticleTranscription2015

ElemeNT: a computational tool for detecting core promoter elements.

Anna Sloutskin, Yehuda M Danino, Yaron Orenstein, Yonathan Zehavi, Tirza Doniger, Ron Shamir, Tamar Juven-Gershon

Abstract read
In one paragraph

Article in Transcription, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 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.

Anna Sloutskina The Mina and Everard Goodman Faculty of Life Sciences ; Bar-Ilan University ; Ramat Gan , Israel.
Yehuda M Danino
Yaron Orenstein
Yonathan Zehavi
Tirza Doniger
Ron Shamir
Tamar Juven-Gershon

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Core promoter elements play a pivotal role in the transcriptional output, yet they are often detected manually within sequences of interest. Here, we present 2 contributions to the detection and curation of core promoter elements within given sequences. First, the Elements Navigation Tool (ElemeNT) is a user-friendly web-based, interactive tool for prediction and display of putative core promoter elements and their biologically-relevant combinations. Second, the CORE database summarizes ElemeNT-predicted core promoter elements near CAGE and RNA-seq-defined Drosophila melanogaster transcription start sites (TSSs). ElemeNT's predictions are based on biologically-functional core promoter elements, and can be used to infer core promoter compositions. ElemeNT does not assume prior knowledge of the actual TSS position, and can therefore assist in annotation of any given sequence. These resources, freely accessible at http://lifefaculty.biu.ac.il/gershon-tamar/index.php/resources, facilitate the identification of core promoter elements as active contributors to gene expression.

Indexed as

Computational BiologyPromoter Regions, GeneticSoftwareAnimalsDatabases, ChemicalDrosophila melanogasterTranscription Initiation SiteBREBRE downstream of the TATA box; BREuBRE upstream of the TATA box; DCEcomputational toolcore promoter elements/motifsdownstream core element; DPEdownstream core promoter element; InrDPEinitiatorinitiator; MTEmotif 10 element; PWMMTEposition weight matrix; RNAP IIpromoter predictionRNAP II transcriptionRNA Polymerase II; TBPTATA boxTATA box-binding protein; TAFsTBP-associated factors; TSSTCTTFIIB recognition element; BREdtranscription start site.

Identifiers

PMID26226151
PMCPMC4581360

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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.