UniProt: the universal protein knowledgebase.
UniProt: the universal protein knowledgebase.
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DOI：
10.1093/nar/gkw1099
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发表时间：
2017-01-04
影响因子：
14.9
通讯作者：
The UniProt Consortium
中科院分区：
文献类型：
--
作者：
The UniProt Consortium
UniProt知识库是蛋白质序列和相关详细注释的大型资源。该数据库包含超过6000万个序列，其中超过50万个序列是由专家精心挑选的，他们严格审查了每种蛋白质的实验和预测数据。其余的基于依赖于专家策划的知识的规则系统自动注释。自2014年的最后一次更新以来，我们的参考蛋白质组数量增加了一倍多，达到5631个，从而更大程度地覆盖了分类多样性。我们实现了一个管道来删除冗余的高度相似的蛋白质组，这些蛋白质组在UniProt中导致过度冗余。该管道的初始运行将UniProt中的序列数量减少了4700万。对于我们对附属蛋白质组感兴趣的用户，我们提供了一套泛蛋白质组序列，涵盖了在其菌株和亚菌株中发现的每个物种的序列多样性。为了帮助解释基因组变异，我们为主要的基因组浏览器提供了详细的蛋白质信息。我们提供了一个SPARQL端点，允许对UniProt中超过220亿个三元组的数据进行复杂查询（http：//sparql.uniprot.org/）。UniProt资源可通过网站http://www.uniprot.org/访问。
The UniProt knowledgebase is a large resource of protein sequences and associated detailed annotation. The database contains over 60 million sequences, of which over half a million sequences have been curated by experts who critically review experimental and predicted data for each protein. The remainder are automatically annotated based on rule systems that rely on the expert curated knowledge. Since our last update in 2014, we have more than doubled the number of reference proteomes to 5631, giving a greater coverage of taxonomic diversity. We implemented a pipeline to remove redundant highly similar proteomes that were causing excessive redundancy in UniProt. The initial run of this pipeline reduced the number of sequences in UniProt by 47 million. For our users interested in the accessory proteomes, we have made available sets of pan proteome sequences that cover the diversity of sequences for each species that is found in its strains and sub-strains. To help interpretation of genomic variants, we provide tracks of detailed protein information for the major genome browsers. We provide a SPARQL endpoint that allows complex queries of the more than 22 billion triples of data in UniProt (http://sparql.uniprot.org/). UniProt resources can be accessed via the website at http://www.uniprot.org/.
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影响因子：
14.9
作者：
Howe KL;Bolt BJ;Cain S;Chan J;Chen WJ;Davis P;Done J;Down T;Gao S;Grove C;Harris TW;Kishore R;Lee R;Lomax J;Li Y;Muller HM;Nakamura C;Nuin P;Paulini M;Raciti D;Schindelman G;Stanley E;Tuli MA;Van Auken K;Wang D;Wang X;Williams G;Wright A;Yook K;Berriman M;Kersey P;Schedl T;Stein L;Sternberg PW
通讯作者：
Sternberg PW
影响因子：
3.9
作者：
Famiglietti, Maria Livia;Estreicher, Anne;Gos, Arnaud;Bolleman, Jerven;Gehant, Sebastien;Breuza, Lionel;Bridge, Alan;Poux, Sylvain;Redaschi, Nicole;Bougueleret, Lydie;Xenarios, Ioannis
通讯作者：
Xenarios, Ioannis
影响因子：
14.9
作者：
Mitchell A;Chang HY;Daugherty L;Fraser M;Hunter S;Lopez R;McAnulla C;McMenamin C;Nuka G;Pesseat S;Sangrador-Vegas A;Scheremetjew M;Rato C;Yong SY;Bateman A;Punta M;Attwood TK;Sigrist CJ;Redaschi N;Rivoire C;Xenarios I;Kahn D;Guyot D;Bork P;Letunic I;Gough J;Oates M;Haft D;Huang H;Natale DA;Wu CH;Orengo C;Sillitoe I;Mi H;Thomas PD;Finn RD
通讯作者：
Finn RD
影响因子：
56.9
作者：
EDDE, B;ROSSIER, J;DENOULET, P
通讯作者：
DENOULET, P
影响因子：
14.9
作者：
Vizcaíno JA;Csordas A;del-Toro N;Dianes JA;Griss J;Lavidas I;Mayer G;Perez-Riverol Y;Reisinger F;Ternent T;Xu QW;Wang R;Hermjakob H
通讯作者：
Hermjakob H