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CompoDynamics: a comprehensive database for characterizing sequence composition dynamics

Sequence compositions of nucleic acids and proteins have significant impact on gene expression, RNA stability, translation efficiency, RNA/protein structure and molecular function, and are associated with genome evolution and adaptation across all kingdoms of life. Therefore, a devoted resource of s...

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Detalles Bibliográficos
Autores principales: Jiang, Shuai, Du, Qiang, Feng, Changrui, Ma, Lina, Zhang, Zhang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8728180/
https://www.ncbi.nlm.nih.gov/pubmed/34718745
http://dx.doi.org/10.1093/nar/gkab979
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author Jiang, Shuai
Du, Qiang
Feng, Changrui
Ma, Lina
Zhang, Zhang
author_facet Jiang, Shuai
Du, Qiang
Feng, Changrui
Ma, Lina
Zhang, Zhang
author_sort Jiang, Shuai
collection PubMed
description Sequence compositions of nucleic acids and proteins have significant impact on gene expression, RNA stability, translation efficiency, RNA/protein structure and molecular function, and are associated with genome evolution and adaptation across all kingdoms of life. Therefore, a devoted resource of sequence compositions and associated features is fundamentally crucial for a wide range of biological research. Here, we present CompoDynamics (https://ngdc.cncb.ac.cn/compodynamics/), a comprehensive database of sequence compositions of coding sequences (CDSs) and genomes for all kinds of species. Taking advantage of the exponential growth of RefSeq data, CompoDynamics presents a wealth of sequence compositions (nucleotide content, codon usage, amino acid usage) and derived features (coding potential, physicochemical property and phase separation) for 118 689 747 high-quality CDSs and 34 562 genomes across 24 995 species. Additionally, interactive analytical tools are provided to enable comparative analyses of sequence compositions and molecular features across different species and gene groups. Collectively, CompoDynamics bears the great potential to better understand the underlying roles of sequence composition dynamics across genes and genomes, providing a fundamental resource in support of a broad spectrum of biological studies.
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spelling pubmed-87281802022-01-05 CompoDynamics: a comprehensive database for characterizing sequence composition dynamics Jiang, Shuai Du, Qiang Feng, Changrui Ma, Lina Zhang, Zhang Nucleic Acids Res Database Issue Sequence compositions of nucleic acids and proteins have significant impact on gene expression, RNA stability, translation efficiency, RNA/protein structure and molecular function, and are associated with genome evolution and adaptation across all kingdoms of life. Therefore, a devoted resource of sequence compositions and associated features is fundamentally crucial for a wide range of biological research. Here, we present CompoDynamics (https://ngdc.cncb.ac.cn/compodynamics/), a comprehensive database of sequence compositions of coding sequences (CDSs) and genomes for all kinds of species. Taking advantage of the exponential growth of RefSeq data, CompoDynamics presents a wealth of sequence compositions (nucleotide content, codon usage, amino acid usage) and derived features (coding potential, physicochemical property and phase separation) for 118 689 747 high-quality CDSs and 34 562 genomes across 24 995 species. Additionally, interactive analytical tools are provided to enable comparative analyses of sequence compositions and molecular features across different species and gene groups. Collectively, CompoDynamics bears the great potential to better understand the underlying roles of sequence composition dynamics across genes and genomes, providing a fundamental resource in support of a broad spectrum of biological studies. Oxford University Press 2021-10-30 /pmc/articles/PMC8728180/ /pubmed/34718745 http://dx.doi.org/10.1093/nar/gkab979 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Database Issue
Jiang, Shuai
Du, Qiang
Feng, Changrui
Ma, Lina
Zhang, Zhang
CompoDynamics: a comprehensive database for characterizing sequence composition dynamics
title CompoDynamics: a comprehensive database for characterizing sequence composition dynamics
title_full CompoDynamics: a comprehensive database for characterizing sequence composition dynamics
title_fullStr CompoDynamics: a comprehensive database for characterizing sequence composition dynamics
title_full_unstemmed CompoDynamics: a comprehensive database for characterizing sequence composition dynamics
title_short CompoDynamics: a comprehensive database for characterizing sequence composition dynamics
title_sort compodynamics: a comprehensive database for characterizing sequence composition dynamics
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8728180/
https://www.ncbi.nlm.nih.gov/pubmed/34718745
http://dx.doi.org/10.1093/nar/gkab979
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