Evidence map›Paper›PMID 34253685›Full record

ArticleRNA (New York, N.Y.)2021

FLAME: long-read bioinformatics tool for comprehensive spliceome characterization.

Isak Holmqvist, Alan Bäckerholm, Yarong Tian, Guojiang Xie, Kaisa Thorell, Ka-Wei Tang

Abstract read
In one paragraph

Article in RNA (New York, N.Y.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 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

6 authors.

Isak Holmqvist *Department of Infectious Diseases, Institute of Biomedicine, University of Gothenburg, 413 46 Gothenburg, Sweden.
Alan Bäckerholm *Department of Infectious Diseases, Institute of Biomedicine, University of Gothenburg, 413 46 Gothenburg, Sweden.
Yarong TianDepartment of Infectious Diseases, Institute of Biomedicine, University of Gothenburg, 413 46 Gothenburg, Sweden.
Guojiang XieDepartment of Infectious Diseases, Institute of Biomedicine, University of Gothenburg, 413 46 Gothenburg, Sweden.
Kaisa ThorellDepartment of Infectious Diseases, Institute of Biomedicine, University of Gothenburg, 413 46 Gothenburg, Sweden.
Ka-Wei TangDepartment of Infectious Diseases, Institute of Biomedicine, University of Gothenburg, 413 46 Gothenburg, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Comprehensive characterization of differentially spliced RNA transcripts with nanopore sequencing is limited by bioinformatics tools that are reliant on existing annotations. We have developed FLAME, a bioinformatics pipeline for alternative splicing analysis of gene-specific or transcriptome-wide long-read sequencing data. FLAME is a Python-based tool aimed at providing comprehensible quantification of full-length splice variants, reliable de novo recognition of splice sites and exons, and representation of consecutive exon connectivity in the form of a weighted adjacency matrix. Notably, this workflow circumvents issues related to inadequate reference annotations and allows for incorporation of short-read sequencing data to improve the confidence of nanopore sequencing reads. In this study, the Epstein-Barr virus long noncoding RNA

Indexed as

RNA SplicingSoftwareBenchmarkingCell Line, TumorComputational BiologyEpstein-Barr Virus InfectionsExonsHerpesvirus 4, HumanHigh-Throughput Nucleotide SequencingHumansIntronsNanopore SequencingNasopharyngeal CarcinomaNasopharyngeal NeoplasmsRNA, Long NoncodingRNA, MessengerRNA, Long NoncodingRNA, MessengerRNA, ViralbioinformaticsEpstein-Barr virusRNA splicingRPMS1

Identifiers

PMID34253685
PMCPMC8457008

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.