Evidence map›Paper›PMID 32427338›Full record

ArticleNucleic acids research2020

RiboToolkit: an integrated platform for analysis and annotation of ribosome profiling data to decode mRNA translation at codon resolution.

Qi Liu, Tanya Shvarts, Piotr Sliz, Richard I Gregory

Abstract read
In one paragraph

Article in Nucleic acids research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing 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

54 citing papers in PubMed.

  1. Article
  2. Article
  3. Ribosome Molecular Aging Shapes Translation Dynamics.bioRxiv : the preprint server for biology · 2026
    Article
  4. Article
  5. RiboMicrobe: An Integrated Translatome Atlas for Microorganism.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  6. Article
  7. Article
  8. Review
  9. Extensive location bias of the GPCR-dependent translatome via site-selective activation of mTOR.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. A review of Ribosome profiling and tools used in Ribo-seq data analysis.Computational and structural biotechnology journal · 2024
    Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. mNature communications · 2024
    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

4 authors.

Qi LiuStem Cell Program, Division of Hematology/Oncology, Boston Children's Hospital, Boston, MA 02115, USA.
Tanya ShvartsComputational Health Informatics Program, Boston Children's Hospital, Boston, MA 02115, USA.
Piotr SlizDepartment of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA.
Richard I GregoryStem Cell Program, Division of Hematology/Oncology, Boston Children's Hospital, Boston, MA 02115, USA.

Funding

Role of the Epitranscriptome in CancerR35CA232115 · NCI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI GREGORY, RICHARD I. · 2019 to 2025
$7.2M
Role of METTL3 and the m6A Epitranscriptome in cancerR01CA233671 · NCI · BOSTON CHILDREN'S HOSPITAL · PI GREGORY, RICHARD I., KIM, CARLA F. · 2020 to 2024
$3.2M
NCI NIH HHS R01 CA233671NCI NIH HHS R35 CA232115
6 · The paper itself

Abstract

Ribosome profiling (Ribo-seq) is a powerful technology for globally monitoring RNA translation; ranging from codon occupancy profiling, identification of actively translated open reading frames (ORFs), to the quantification of translational efficiency under various physiological or experimental conditions. However, analyzing and decoding translation information from Ribo-seq data is not trivial. Although there are many existing tools to analyze Ribo-seq data, most of these tools are designed for specific or limited functionalities and an easy-to-use integrated tool to analyze Ribo-seq data is lacking. Fortunately, the small size (26-34 nt) of ribosome protected fragments (RPFs) in Ribo-seq and the relatively small amount of sequencing data greatly facilitates the development of such a web platform, which is easy to manipulate for users with or without bioinformatic expertise. Thus, we developed RiboToolkit (http://rnabioinfor.tch.harvard.edu/RiboToolkit), a convenient, freely available, web-based service to centralize Ribo-seq data analyses, including data cleaning and quality evaluation, expression analysis based on RPFs, codon occupancy, translation efficiency analysis, differential translation analysis, functional annotation, translation metagene analysis, and identification of actively translated ORFs. Besides, easy-to-use web interfaces were developed to facilitate data analysis and intuitively visualize results. Thus, RiboToolkit will greatly facilitate the study of mRNA translation based on ribosome profiling.

Indexed as

CodonProtein BiosynthesisRibosomesSoftware3T3 CellsAnimalsEndoplasmic Reticulum StressMiceMolecular Sequence AnnotationOpen Reading FramesRNA, MessengerSequence Analysis, RNACodonRNA, Messenger

Identifiers

PMID32427338
PMCPMC7319539

What OpenQuestion holds

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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.