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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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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. |
format | Online Article Text |
id | pubmed-8728180 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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