Difference between revisions of "Category:ECO:0000053 ! computational combinatorial evidence"
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'''name:''' computational combinatorial evidence<br> | '''name:''' computational combinatorial evidence<br> | ||
'''def:''' "A type of combinatorial analysis where data are combined and evaluated by an algorithm." [ECO:go, ECO:MCC]<br> | '''def:''' "A type of combinatorial analysis where data are combined and evaluated by an algorithm." [ECO:go, ECO:MCC]<br> | ||
| − | '''xref:''' [http://arabidopsis.org/servlets/TairObject?type=communication&id=TED | + | '''xref:''' [http://arabidopsis.org/servlets/TairObject?type=communication&id=TED TAIR:TED]<br> |
'''is_a:''' [[:Category:ECO:0000212 ! combinatorial evidence|ECO:0000212 ! combinatorial evidence]][[Category:ECO:0000212 ! combinatorial evidence|ECO:0000212 ! combinatorial evidence]]<br> | '''is_a:''' [[:Category:ECO:0000212 ! combinatorial evidence|ECO:0000212 ! combinatorial evidence]][[Category:ECO:0000212 ! combinatorial evidence|ECO:0000212 ! combinatorial evidence]]<br> | ||
'''comment:''' Combinatorial analyses could include experimental or computational results. Examples include: (i) large-scale experiment such as a genome-wide two-hybrid or genome-wide synthetic interactions; (ii) integration of large-scale data sets of various types; and (iii) text-based-computation, e.g. text-mining. For simple sequence comparisons, one should use the sequence similarity analysis evidence type. For microarray results alone, expression pattern analysis is appropriate; whereas, large-scale computational analysis should be used when microarray results are combined with the results of other types of large-scale experiments.<br> | '''comment:''' Combinatorial analyses could include experimental or computational results. Examples include: (i) large-scale experiment such as a genome-wide two-hybrid or genome-wide synthetic interactions; (ii) integration of large-scale data sets of various types; and (iii) text-based-computation, e.g. text-mining. For simple sequence comparisons, one should use the sequence similarity analysis evidence type. For microarray results alone, expression pattern analysis is appropriate; whereas, large-scale computational analysis should be used when microarray results are combined with the results of other types of large-scale experiments.<br> | ||
Revision as of 17:59, 24 October 2017
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