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CoCoView - A codon conservation viewer via sequence logos

Sequence logos are a simple way to display a set of aligned sequences, and they are useful to identify conserved patterns. Since their introduction, several tools have been developed for generating these representations at the single residue level (amino acids or nucleotides). We have developed a to...

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Detalles Bibliográficos
Autores principales: Estevam, Beatriz Rodrigues, Riaño-Pachón, Diego Mauricio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9382315/
https://www.ncbi.nlm.nih.gov/pubmed/35990812
http://dx.doi.org/10.1016/j.mex.2022.101803
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author Estevam, Beatriz Rodrigues
Riaño-Pachón, Diego Mauricio
author_facet Estevam, Beatriz Rodrigues
Riaño-Pachón, Diego Mauricio
author_sort Estevam, Beatriz Rodrigues
collection PubMed
description Sequence logos are a simple way to display a set of aligned sequences, and they are useful to identify conserved patterns. Since their introduction, several tools have been developed for generating these representations at the single residue level (amino acids or nucleotides). We have developed a tool to build sequence logos of protein-coding sequences at the codon level, allowing more accurate analysis of coding-sequences as they represent synonymous and non-synonymous changes instead of showing only changes that imply on amino acid substitutions. We built CoCoView on top of the Logomaker Python API. It creates codon sequence logos from a multiple sequence alignment of protein-coding sequences. Some properties of the data and the generated logos can be controlled by the end-users, such as data redundancy, plot type and alphabet color. • Split aligned sequences into codon positions; • For each position compute codon frequency and information content; • Use the computed information to plot the graphic.
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spelling pubmed-93823152022-08-18 CoCoView - A codon conservation viewer via sequence logos Estevam, Beatriz Rodrigues Riaño-Pachón, Diego Mauricio MethodsX Method Article Sequence logos are a simple way to display a set of aligned sequences, and they are useful to identify conserved patterns. Since their introduction, several tools have been developed for generating these representations at the single residue level (amino acids or nucleotides). We have developed a tool to build sequence logos of protein-coding sequences at the codon level, allowing more accurate analysis of coding-sequences as they represent synonymous and non-synonymous changes instead of showing only changes that imply on amino acid substitutions. We built CoCoView on top of the Logomaker Python API. It creates codon sequence logos from a multiple sequence alignment of protein-coding sequences. Some properties of the data and the generated logos can be controlled by the end-users, such as data redundancy, plot type and alphabet color. • Split aligned sequences into codon positions; • For each position compute codon frequency and information content; • Use the computed information to plot the graphic. Elsevier 2022-07-29 /pmc/articles/PMC9382315/ /pubmed/35990812 http://dx.doi.org/10.1016/j.mex.2022.101803 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Method Article
Estevam, Beatriz Rodrigues
Riaño-Pachón, Diego Mauricio
CoCoView - A codon conservation viewer via sequence logos
title CoCoView - A codon conservation viewer via sequence logos
title_full CoCoView - A codon conservation viewer via sequence logos
title_fullStr CoCoView - A codon conservation viewer via sequence logos
title_full_unstemmed CoCoView - A codon conservation viewer via sequence logos
title_short CoCoView - A codon conservation viewer via sequence logos
title_sort cocoview - a codon conservation viewer via sequence logos
topic Method Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9382315/
https://www.ncbi.nlm.nih.gov/pubmed/35990812
http://dx.doi.org/10.1016/j.mex.2022.101803
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