Evidence map›Paper›PMID 28977509›Full record

ArticleNucleic acids research2017

REPARATION: ribosome profiling assisted (re-)annotation of bacterial genomes.

Elvis Ndah, Veronique Jonckheere, Adam Giess, Eivind Valen, Gerben Menschaert, Petra Van Damme

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2017. 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
2.8field-weighted citation impact, top 9% of its field
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, 67 citations in OpenAlex.

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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 at 3 institutions in 2 countries.

Elvis NdahVIB-UGent Center for Medical Biotechnology, B-9000 Ghent, Belgium.
Veronique JonckheereVIB-UGent Center for Medical Biotechnology, B-9000 Ghent, Belgium.
Adam GiessComputational Biology Unit, Department of Informatics, University of Bergen, Bergen 5020, Norway.
Eivind ValenComputational Biology Unit, Department of Informatics, University of Bergen, Bergen 5020, Norway.
Gerben MenschaertLab of Bioinformatics and Computational Genomics, Department of Mathematical Modelling, Statistics and Bioinformatics, Faculty of Bioscience Engineering, Ghent University, B-9000 Ghent, Belgium.
Petra Van DammeVIB-UGent Center for Medical Biotechnology, B-9000 Ghent, Belgium.
Ghent University · BEUniversity of Bergen · NOVIB-UGent Center for Medical Biotechnology · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prokaryotic genome annotation is highly dependent on automated methods, as manual curation cannot keep up with the exponential growth of sequenced genomes. Current automated methods depend heavily on sequence composition and often underestimate the complexity of the proteome. We developed RibosomeE Profiling Assisted (re-)AnnotaTION (REPARATION), a de novo machine learning algorithm that takes advantage of experimental protein synthesis evidence from ribosome profiling (Ribo-seq) to delineate translated open reading frames (ORFs) in bacteria, independent of genome annotation (https://github.com/Biobix/REPARATION). REPARATION evaluates all possible ORFs in the genome and estimates minimum thresholds based on a growth curve model to screen for spurious ORFs. We applied REPARATION to three annotated bacterial species to obtain a more comprehensive mapping of their translation landscape in support of experimental data. In all cases, we identified hundreds of novel (small) ORFs including variants of previously annotated ORFs and >70% of all (variants of) annotated protein coding ORFs were predicted by REPARATION to be translated. Our predictions are supported by matching mass spectrometry proteomics data, sequence composition and conservation analysis. REPARATION is unique in that it makes use of experimental translation evidence to intrinsically perform a de novo ORF delineation in bacterial genomes irrespective of the sequence features linked to open reading frames.

Indexed as

AlgorithmsBacillus subtilisChromosome MappingComputational BiologyEscherichia coli K12Genome, BacterialMachine LearningMolecular Sequence AnnotationOpen Reading FramesRibosomesSalmonella typhimurium

Identifiers

PMID28977509
PMCPMC5714196
OpenAlexW2950120624

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.