کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6451865 1416982 2017 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Mobilization and integration of bacterial phenotypic data-Enabling next generation biodiversity analysis through the BacDive metadatabase
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی بیو مهندسی (مهندسی زیستی)
پیش نمایش صفحه اول مقاله
Mobilization and integration of bacterial phenotypic data-Enabling next generation biodiversity analysis through the BacDive metadatabase
چکیده انگلیسی


- A total of 37,156 non-digital data points on myxobacteria were mobilized.
- BacDive offers the worldwide largest, publicly available API test data collection.
- BacDive was amended with data on 523 frequently accessed bacterial type strains.
- Unique identifier and web services ensure interoperability of BacDive.

Microbial data and metadata are scattered throughout the scientific literature, databases and unpublished lab notes and thereby often are difficult to access. Hot spots of (meta)data are internal descriptions of culture collections and initial descriptions of novel taxa in primary literature. Here we describe three exemplary mobilization projects which yielded metadata published through the prokaryotic metadatabase BacDive. The Reichenbach collection of myxobacteria includes information on 12,535 typewritten index cards which were digitized. A total of 37,156 data points were extracted by text mining. In the second mobilization project, Analytical Profile Index (API) tests on paper forms were targeted. Overall 6820 API tests were digitized, which provide physiological data of 4524 microbial strains. Thirdly, the extraction of metadata from 523 new species descriptions of the International Journal of Systematic and Evolutionary Microbiology, yielding 35,651 data points, is described. All data sets were integrated and published in BacDive. Thereby these metadata not only became accessible and searchable but were also linked to strain taxonomy, isolation source, cultivation condition, and molecular biology data.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Biotechnology - Volume 261, 10 November 2017, Pages 187-193
نویسندگان
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