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However, apart from being collected and archived for subsequent retrieval, the data has not been effectively exploited for improving environmental performance.
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Because of these complementary features, a combined approach as presented here can optimize the information retrieval from the data.
A qualitative data indexing package (NVivo) was used to facilitate coding and retrieval of the data.
A qualitative data indexing package (Atlas.ti) was used to facilitate coding and retrieval of the data.
A web interface was designed using PHP scripts for retrieval of the data.
Deposition and retrieval of the data is via a python-based script system.
Nvivo 10 was used to assist with coding, sorting, and retrieval of the data.
The integrated database provides users with easy access and retrieval of the data and web tools for sequence comparison.
These were free text but were recorded with pre-defined structures/guidelines that enabled consistent retrieval of the data.
The retrieval of the data on organelle (mainly chloroplast) genomes from short-read high throughput sequencing data is not novel (e.g., Wang and Messing 2011).
Besides providing comprehensive data storage, the web-based data management infrastructure must also allow the easy querying and retrieval of the data it contains.
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