Figure 2.

Viewing and editing clinical annotations. Clinical annotations of the C-MAP dataset. 1, spreadsheet view with headers representing clinical factors (for example, 'Perturbagen' or 'Cell Line'), and rows representing measurements and their associated values (for example, 'estradiol' or 'MCF7'). 2, Tree view condensed representation of the clinical annotations allowing fast identification of the number of samples annotated with a given clinical factor and clinical value (number in parentheses). 3, Central panel containing a second tab with additional meta-information. For GEO datasets, this second tab (named 'GEO annotations') links back to the original GEO web page dedicated to the dataset. 4, Curations upload button. 5, Edit curations. 6, Flag a curation - for example, in case of errors in the samples' annotations. 7, Download a curation. 8 and 9, After clicking on the 'Edit' button, the spreadsheet becomes fully editable and advanced tools ease the process of structuring annotations. Here, the curation of the C-MAP dataset is enriched with analysis results: the 'ER status' clinical factor is added with 'agonist' or 'antagonist' as values.

Coletta et al. Genome Biology 2012 13:R104   doi:10.1186/gb-2012-13-11-r104
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