Evidence map›Paper›PMID 31585526›Full record

ArticleBMC bioinformatics2019

CAGEfightR: analysis of 5'-end data using R/Bioconductor.

Malte Thodberg, Axel Thieffry, Kristoffer Vitting-Seerup, Robin Andersson, Albin Sandelin

Abstract read
In one paragraph

Article in BMC bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

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  7. Interaction Between Enhancers and Promoters in Chicken Genome.International journal of molecular sciences · 2025
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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

5 authors.

Malte ThodbergDepartment of Biology, University of Copenhagen, Ole Maaløes Vej 5, DK2100, Copenhagen N, Denmark. malte.thodberg@bric.ku.dk.ORCID http://orcid.org/0000-0001-6244-3841
Axel ThieffryDepartment of Biology, University of Copenhagen, Ole Maaløes Vej 5, DK2100, Copenhagen N, Denmark.
Kristoffer Vitting-SeerupDepartment of Biology, University of Copenhagen, Ole Maaløes Vej 5, DK2100, Copenhagen N, Denmark.
Robin AnderssonDepartment of Biology, University of Copenhagen, Ole Maaløes Vej 5, DK2100, Copenhagen N, Denmark.
Albin SandelinDepartment of Biology, University of Copenhagen, Ole Maaløes Vej 5, DK2100, Copenhagen N, Denmark. albin@binf.ku.dk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background5'-end sequencing assays, and Cap Analysis of Gene Expression (CAGE) in particular, have been instrumental in studying transcriptional regulation. 5'-end methods provide genome-wide maps of transcription start sites (TSSs) with base pair resolution. Because active enhancers often feature bidirectional TSSs, such data can also be used to predict enhancer candidates. The current availability of mature and comprehensive computational tools for the analysis of 5'-end data is limited, preventing efficient analysis of new and existing 5'-end data.

resultsWe present CAGEfightR, a framework for analysis of CAGE and other 5'-end data implemented as an R/Bioconductor-package. CAGEfightR can import data from BigWig files and allows for fast and memory efficient prediction and analysis of TSSs and enhancers. Downstream analyses include quantification, normalization, annotation with transcript and gene models, TSS shape statistics, linking TSSs to enhancers via co-expression, identification of enhancer clusters, and genome-browser style visualization. While built to analyze CAGE data, we demonstrate the utility of CAGEfightR in analyzing nascent RNA 5'-data (PRO-Cap). CAGEfightR is implemented using standard Bioconductor classes, making it easy to learn, use and combine with other Bioconductor packages, for example popular differential expression tools such as limma, DESeq2 and edgeR.

conclusionsCAGEfightR provides a single, scalable and easy-to-use framework for comprehensive downstream analysis of 5'-end data. CAGEfightR is designed to be interoperable with other Bioconductor packages, thereby unlocking hundreds of mature transcriptomic analysis tools for 5'-end data. CAGEfightR is freely available via Bioconductor: bioconductor.org/packages/CAGEfightR .

Indexed as

SoftwareTranscription Initiation SiteGene Expression Profiling5′-end methodsBioconductorCAGEEnhancerEnhancer RNAPromoterR-packageTranscription start site

Identifiers

PMID31585526
PMCPMC6778389

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.