Evidence map›Paper›PMID 35859338›Full record

ArticleMolecular biology and evolution2022

The Codon Statistics Database: A Database of Codon Usage Bias.

Krishnamurthy Subramanian, Bryan Payne, Felix Feyertag, David Alvarez-Ponce

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 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

4 authors.

Krishnamurthy SubramanianBiology Department, University of Nevada, Reno, Reno, NV 89557, USA.
Bryan PayneBiology Department, University of Nevada, Reno, Reno, NV 89557, USA.
Felix FeyertagBiology Department, University of Nevada, Reno, Reno, NV 89557, USA.
David Alvarez-PonceBiology Department, University of Nevada, Reno, Reno, NV 89557, USA.ORCID 0000-0002-8729-1036

Funding

Outreach/Diversity/Pipeline ProjectP20GM103440 · NIGMS · UNIVERSITY OF NEVADA RENO · PI Eduardo A Robleto · 2012 to 2026
$58.0M
NIGMS NIH HHS P20 GM103440
6 · The paper itself

Abstract

We present the Codon Statistics Database, an online database that contains codon usage statistics for all the species with reference or representative genomes in RefSeq (over 15,000). The user can search for any species and access two sets of tables. One set lists, for each codon, the frequency, the Relative Synonymous Codon Usage, and whether the codon is preferred. Another set of tables lists, for each gene, its GC content, Effective Number of Codons, Codon Adaptation Index, and frequency of optimal codons. Equivalent tables can be accessed for (1) all nuclear genes, (2) nuclear genes encoding ribosomal proteins, (3) mitochondrial genes, and (4) chloroplast genes (if available in the relevant assembly). The user can also search for any taxonomic group (e.g., "primates") and obtain a table comparing all the species in the group. The database is free to access without registration at http://codonstatsdb.unr.edu.

Indexed as

Codon UsageMagnoliopsidaAnimalsBase CompositionCodonGenes, ChloroplastCodoncodon biascodon usagedatabasesynonymous codons

Identifiers

PMID35859338
PMCPMC9372565

What OpenQuestion holds

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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.