ArticleBioinformatics (Oxford, England)2021
CONCUR: quick and robust calculation of codon usage from ribosome profiling data.
Article in Bioinformatics (Oxford, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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.
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Who cites it
8 citing papers in PubMed.
- Targeting tRNA-Arg-TCT-4-1 suppresses cancer cell growth and tumorigenesis.bioRxiv : the preprint server for biology · 2026Article
- PUS1 Drives Renal Cancer Progression by Preventing Formation of Endogenous Double-stranded RNAs.International journal of biological sciences · 2026Article
- Two microbiome metabolites compete for tRNA modification to impact mammalian cell proliferation and translation quality control.Nature cell biology · 2025Article
- SMYD5 is a ribosomal methyltransferase that catalyzes RPL40 lysine methylation to enhance translation output and promote hepatocellular carcinoma.Cell research · 2024Article
- Threonine fuels glioblastoma through YRDC-mediated codon-biased translational reprogramming.Nature cancer · 2024Article
- Low-input RNase footprinting for simultaneous quantification of cytosolic and mitochondrial translation.Genome research · 2022Article
- Cell type-specific analysis by single-cell profiling identifies a stable mammalian tRNA-mRNA interface and increased translation efficiency in neurons.Genome research · 2022Article
- METTL1-mediated mMolecular cell · 2021Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
summaryCONCUR is a standalone tool for codon usage analysis in ribosome profiling experiments. CONCUR uses the aligned reads in BAM format to estimate codon counts at the ribosome E-, P- and A-sites and at flanking positions. AVAILABILITY AND IMPLEMENTATION: CONCUR is written in Perl and is freely available at https://github.com/susbo/concur. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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Registered trials
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.