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Over time, codes were further collated into categories such as nature of research collaborations, challenges with seeking consent, fairness/justice, governance, capacity building and trust relationships.
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Clusters composed of transcripts that were up-regulated were then further collated into 3 groups; genes up-regulated at (1) 1–2 hours, (2) 2–4 hours and (3) 4–8 hours post-treatment and genes that were both differently expressed and present on the integrated pathway diagram were highlighted on the map.
Clusters of transcripts representing genes activated at different times following treatment were then further collated into 3 groups of up-regulated genes; genes activated at (1) 1–2 hours, (2) 2–4 hours and (3) 4–8 hours post-treatment.
These exciting findings are now being collated for publication.
The importance of the FEG is further supported through their presence in two fermentation relevant databases, LIT_FRYG and SGD_FRYG (Additional file 3), collated as part of this study.
Further, results were collated to determine the level of shared detection and abundance of specific miRNAs between these three platforms.
Responses were typically collated, refined and arranged into categories or themes which become the basis for further discussion or prioritisation.
Complications of the procedure were prospectively collated.
These were then collated into potential themes.
Responses were subsequently collated and analyzed.
Forms were then collated for data entry and analysis.
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