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*-DCC: A platform to collect, annotate, and explore a large variety of sequencing experiments.
GigaScience ( IF 9.2 ) Pub Date : 2020-03-01 , DOI: 10.1093/gigascience/giaa024
Matthias Hörtenhuber 1 , Abdul K Mukarram 1 , Marcus H Stoiber 2 , James B Brown 2 , Carsten O Daub 1, 3
Affiliation  

BACKGROUND Over the past few years the variety of experimental designs and protocols for sequencing experiments increased greatly. To ensure the wide usability of the produced data beyond an individual project, rich and systematic annotation of the underlying experiments is crucial. FINDINGS We first developed an annotation structure that captures the overall experimental design as well as the relevant details of the steps from the biological sample to the library preparation, the sequencing procedure, and the sequencing and processed files. Through various design features, such as controlled vocabularies and different field requirements, we ensured a high annotation quality, comparability, and ease of annotation. The structure can be easily adapted to a large variety of species. We then implemented the annotation strategy in a user-hosted web platform with data import, query, and export functionality. CONCLUSIONS We present here an annotation structure and user-hosted platform for sequencing experiment data, suitable for lab-internal documentation, collaborations, and large-scale annotation efforts.

中文翻译:

* -DCC:一个收集,注释和探索各种测序实验的平台。

背景技术在过去的几年中,用于测序实验的各种实验设计和方案大大增加。为了确保生成的数据在单个项目之外的广泛可用性,对基础实验进行丰富而系统的注释至关重要。结果我们首先开发了一种注释结构,该结构可捕获总体实验设计以及从生物样品到文库制备,测序程序以及测序和处理文件的步骤的相关详细信息。通过各种设计功能,例如受控的词汇表和不同的领域要求,我们确保了较高的注释质量,可比性和注释的便捷性。该结构可轻松适应多种物种。然后,我们在具有数据导入,查询和导出功能的用户托管的Web平台中实施了注释策略。结论我们在这里介绍一种用于对实验数据进行排序的注释结构和用户托管平台,适用于实验室内部文档,协作和大规模注释工作。
更新日期:2020-03-16
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