BacDive in 2019: bacterial phenotypic data for High-throughput biodiversity analysis.
BacDive in 2019: bacterial phenotypic data for High-throughput biodiversity analysis.
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DOI：
10.1093/nar/gky879
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发表时间：
2019-01-08
影响因子：
14.9
通讯作者：
Overmann J
中科院分区：
文献类型：
--
作者：
Reimer LC;Vetcininova A;Carbasse JS;Söhngen C;Gleim D;Ebeling C;Overmann J
细菌元数据库BacDive（http：bacdive.dsmz.de）已经成为关于原核生物的分类学、形态学、生理学、培养、分离和分子数据的结构化数据的综合资源。在当前版本（2018年7月）中，该数据库提供了63669种细菌和古细菌菌株的信息，其中包括12715种类型菌株。在BacDive最近的开发过程中，优先考虑了现有菌株信息的丰富。这导致数据库内容在过去三年中增加了146%。特别是丰富的数据集，从4782手动注释的物种描述中集成的系统和进化微生物学国际杂志，产生了5468型菌株的标准化表型数据。另一个重要的内容改进是通过动员8977分析特征指数（API®）测试结果来实现的，这些结果构成了用于鉴定5237株菌株的生理数据。BacDive提供了一个独特的API®数据收集的规模和多样性。此外，还整合了脂肪酸谱和抗生素敏感性试验数据。经过修订的图形用户界面和新的搜索工具（如API®测试查找器、TAXplorer或微生物分离源搜索）显著改善了用户体验。
The bacterial metadatabase BacDive (http://bacdive.dsmz.de) has become a comprehensive resource for structured data on the taxonomy, morphology, physiology, cultivation, isolation and molecular data of prokaryotes. With its current release (7/2018) the database offers information for 63 669 bacterial and archaeal strains including 12 715 type strains. During recent developments of BacDive, the enrichment of information on existing strains was prioritized. This has resulted in a 146% increase of database content over the past three years. Especially rich datasets were integrated from 4782 manual annotated species descriptions in the International Journal of Systematic and Evolutionary Microbiology which yielded standardized phenotypic data for 5468 type strains. Another important improvement of content was achieved through the mobilization of 8977 Analytical Profile Index (API®) test results that constitute physiological data for the identification of 5237 strains. BacDive offers a unique API® data collection with respect to size and diversity. In addition, data on fatty acid profiles and antibiotic susceptibility tests were integrated. A revised graphical user interface and new search tools such as the API® test finder, the TAXplorer, or the Microbial Isolation Source Search significantly improve the user experience.
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影响因子：
14.9
作者：
Söhngen C;Podstawka A;Bunk B;Gleim D;Vetcininova A;Reimer LC;Ebeling C;Pendarovski C;Overmann J
通讯作者：
Overmann J
影响因子：
14.9
作者：
Silvester N;Alako B;Amid C;Cerdeño-Tarrága A;Clarke L;Cleland I;Harrison PW;Jayathilaka S;Kay S;Keane T;Leinonen R;Liu X;Martínez-Villacorta J;Menchi M;Reddy K;Pakseresht N;Rajan J;Rossello M;Smirnov D;Toribio AL;Vaughan D;Zalunin V;Cochrane G
通讯作者：
Cochrane G
影响因子：
14.9
作者：
Placzek S;Schomburg I;Chang A;Jeske L;Ulbrich M;Tillack J;Schomburg D
通讯作者：
Schomburg D
影响因子：
3.4
作者：
Verslyppe, Bert;De Smet, Wim;Dawyndt, Peter
通讯作者：
Dawyndt, Peter
影响因子：
14.9
作者：
Hastings J;Owen G;Dekker A;Ennis M;Kale N;Muthukrishnan V;Turner S;Swainston N;Mendes P;Steinbeck C
通讯作者：
Steinbeck C