GenRCA: a user-friendly rare codon analysis tool for comprehensive evaluation of codon usage preferences based on coding sequences in genomes

Our website fills a gap in the availability of comprehensive tools for species-specific CUB calculations, enabling researchers to thoroughly assess the protein expression level based on a comprehensive list of 31 indices and further guide the codon optimization.

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Publication Details

Journal
BMC Bioinformatics
Published
2024-09-27
DOI
https://doi.org/10.1186/s12859-024-05934-z
Citations
12
Primary Topic
RNA and protein synthesis mechanisms
Type
article
Field-Weighted Citation Impact
2.81
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article

GenRCA: a user-friendly rare codon analysis tool for comprehensive evaluation of codon usage preferences based on coding sequences in genomes

Kunjie Fan, Long Fan, Zhiwei Chen, Y. Li
12 citations
BMC Bioinformatics
RNA and protein synthesis mechanisms
2.81
article

GenRCA: a user-friendly rare codon analysis tool for comprehensive evaluation of codon usage preferences based on coding sequences in genomes

Kunjie Fan, Long Fan, Zhiwei Chen, Y. Li
article en
12 citations

Abstract

Our website fills a gap in the availability of comprehensive tools for species-specific CUB calculations, enabling researchers to thoroughly assess the protein expression level based on a comprehensive list of 31 indices and further guide the codon optimization.

BMC BioinformaticsVol. 25(1)
Evive Biotech (China) (CN), Viva Biotech (China) (CN)
Openalex Percentile: Top 9%
RNA and protein synthesis mechanisms
2.81
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