Metazen - metadata capture for metagenomes

被引:4
作者
Bischof, Jared [1 ,2 ]
Harrison, Travis [1 ,2 ]
Paczian, Tobias [1 ,2 ]
Glass, Elizabeth [1 ,2 ,3 ]
Wilke, Andreas [1 ,2 ,3 ]
Meyer, Folker [1 ,2 ,3 ]
机构
[1] Univ Chicago, Computat Inst, 5735 S Ellis Ave, Chicago, IL 60637 USA
[2] Argonne Natl Lab, Div Math & Comp Sci, Argonne, IL 60439 USA
[3] Argonne Natl Lab, Div Biol Sci, Argonne, IL 60439 USA
关键词
Metadata; Metagenomics; Collection; Software;
D O I
10.1186/1944-3277-9-18
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Background: As the impact and prevalence of large-scale metagenomic surveys grow, so does the acute need for more complete and standards compliant metadata. Metadata (data describing data) provides an essential complement to experimental data, helping to answer questions about its source, mode of collection, and reliability. Metadata collection and interpretation have become vital to the genomics and metagenomics communities, but considerable challenges remain, including exchange, curation, and distribution. Currently, tools are available for capturing basic field metadata during sampling, and for storing, updating and viewing it. Unfortunately, these tools are not specifically designed for metagenomic surveys; in particular, they lack the appropriate metadata collection templates, a centralized storage repository, and a unique ID linking system that can be used to easily port complete and compatible metagenomic metadata into widely used assembly and sequence analysis tools. Results: Metazen was developed as a comprehensive framework designed to enable metadata capture for metagenomic sequencing projects. Specifically, Metazen provides a rapid, easy-to-use portal to encourage early deposition of project and sample metadata. Conclusions: Metazen is an interactive tool that aids users in recording their metadata in a complete and valid format. A defined set of mandatory fields captures vital information, while the option to add fields provides flexibility.
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页数:6
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