CompoDynamics: a comprehensive database for characterizing sequence composition dynamics.
CompoDynamics: a comprehensive database for characterizing sequence composition dynamics.
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CompoDynamics:用于表征序列组成动力学的综合数据库
DOI:
10.1093/nar/gkab979
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发表时间:
2022-01-07
影响因子:
14.9
通讯作者:
Zhang Z
中科院分区:
文献类型:
--
作者:
Jiang S;Du Q;Feng C;Ma L;Zhang Z
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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影响因子:
14.9
作者:
Gene Ontology Consortium
通讯作者:
Gene Ontology Consortium
影响因子:
14.9
作者:
Mistry J;Chuguransky S;Williams L;Qureshi M;Salazar GA;Sonnhammer ELL;Tosatto SCE;Paladin L;Raj S;Richardson LJ;Finn RD;Bateman A
通讯作者:
Bateman A
影响因子:
3.3
作者:
Pessia E;Popa A;Mousset S;Rezvoy C;Duret L;Marais GA
通讯作者:
Marais GA
影响因子:
14.9
作者:
Hodgman MW;Miller JB;Meurs TE;Kauwe JSK
通讯作者:
Kauwe JSK
影响因子:
3.7
作者:
Arun PV;Bakku RK;Subhashini M;Singh P;Prabhu NP;Suzuki I;Prakash JS
通讯作者:
Prakash JS