Evidence map›Paper›PMID 28158331›Full record

ArticleBioinformatics (Oxford, England)2017

Riborex: fast and flexible identification of differential translation from Ribo-seq data.

Wenzheng Li, Weili Wang, Philip J Uren, Luiz O F Penalva, Andrew D Smith

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing 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

58 citing papers in PubMed.

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  9. Review
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  12. A hidden translatome in tumors-the coding lncRNAs.Science China. Life sciences · 2023
    Review
  13. Genome-wide translational response ofMicrobiology spectrum · 2023
    Article
  14. Article
  15. Article
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  17. Article
  18. Microtubule integrity regulates budding yeast RAM pathway gene expression.Frontiers in cell and developmental biology · 2022
    Article
  19. Article
  20. Article
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.

Wenzheng LiMolecular and Computational Biology, Division of Biological Sciences, University of Southern California, Los Angeles, CA, USA.
Weili WangMolecular and Computational Biology, Division of Biological Sciences, University of Southern California, Los Angeles, CA, USA.
Philip J UrenMolecular and Computational Biology, Division of Biological Sciences, University of Southern California, Los Angeles, CA, USA.
Luiz O F PenalvaDepartment of Cellular and Structural Biology, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA.
Andrew D SmithMolecular and Computational Biology, Division of Biological Sciences, University of Southern California, Los Angeles, CA, USA.

Funding

Computational Methods for Deep Sequencing Based RBP Binding Motif CharacterizatioR01HG006015 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI PENALVA, LUIZ OTAVIO, SMITH, ANDREW DAVID · 2011 to 2017
$2.6M
NHGRI NIH HHS R01 HG006015
6 · The paper itself

Abstract

motivationGlobal analysis of translation regulation has recently been enabled by the development of Ribosome Profiling, or Ribo-seq, technology. This approach provides maps of ribosome activity for each expressed gene in a given biological sample. Measurements of translation efficiency are generated when Ribo-seq data is analyzed in combination with matched RNA-seq gene expression profiles. Existing computational methods for identifying genes with differential translation across samples are based on sound principles, but require users to choose between accuracy and speed.

resultsWe present Riborex, a computational tool for mapping genome-wide differences in translation efficiency. Riborex shares a similar mathematical structure with existing methods, but has a simplified implementation. Riborex directly leverages established RNA-seq analysis frameworks for all parameter estimation, providing users with a choice among robust engines for these computations. The result is a method that is dramatically faster than available methods without sacrificing accuracy. AVAILABILITY AND IMPLEMENTATION: https://github.com/smithlabcode/riborex. CONTACT: andrewds@usc.edu. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

Protein BiosynthesisSoftwareTranscriptomeAnimalsComputational BiologyHumansMiceRibosomesSequence Analysis, RNA

Identifiers

PMID28158331
PMCPMC5860393

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.