Category:ECO:0000053 ! computational combinatorial evidence - Revision history

127.0.0.1: ECO:0000053_!_computational_combinatorial_evidence renamed to ECO:0000053_!_automatically_integrated_combinatorial_evidence_used_in_automatic_assertion

2018-12-19T08:00:33Z

ECO:0000053_!_computational_combinatorial_evidence renamed to ECO:0000053_!_automatically_integrated_combinatorial_evidence_used_in_automatic_assertion

127.0.0.1: update ECO:0000053_!_computational_combinatorial_evidence page

2018-05-26T07:00:07Z

update ECO:0000053_!_computational_combinatorial_evidence page

127.0.0.1: update ECO:0000053_!_computational_combinatorial_evidence page

2017-10-24T22:59:21Z

update ECO:0000053_!_computational_combinatorial_evidence page

127.0.0.1: update ECO:0000053_!_computational_combinatorial_evidence page

2017-10-12T07:00:15Z

update ECO:0000053_!_computational_combinatorial_evidence page

127.0.0.1: update ECO:0000053_!_computational_combinatorial_evidence page

2013-04-23T18:49:16Z

update ECO:0000053_!_computational_combinatorial_evidence page

127.0.0.1: update ECO:0000053_!_computational_combinatorial_evidence page

2013-03-19T06:00:06Z

update ECO:0000053_!_computational_combinatorial_evidence page

127.0.0.1: Add page for ECO:0000053_!_computational_combinatorial_evidence

2013-03-05T20:52:00Z

Add page for ECO:0000053_!_computational_combinatorial_evidence

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{{Autobox|1='''id:''' ECO:0000053 
'''name:''' computational combinatorial evidence 
'''def:''' "A type of combinatorial analysis where data are combined and evaluated by an algorithm." [ECO:go, ECO:MCC] 
'''xref:''' [http://arabidopsis.org/servlets/TairObject?accession=TED\ TAIR:TED\:0000004] 
'''is_a:''' [[:Category:ECO:0000212 ! combinatorial evidence|ECO:0000212 ! combinatorial evidence]][[Category:ECO:0000212 ! combinatorial evidence|ECO:0000212 ! combinatorial evidence]] 
'''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. 
}}
== Usage Notes ==

==References ==
{{RefHelp}}
<references/>

← Older revision		Revision as of 08:00, 19 December 2018
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−	~~{{Autobox\|1='''id:''' ECO:0000053<br>~~	+	#REDIRECT [[:Category:ECO:0000053_!_automatically_integrated_combinatorial_evidence_used_in_automatic_assertion]]
−	~~'''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>~~
−	~~'''xref:''' [http://arabidopsis.org/servlets/TairObject?accession=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>~~
−	'''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>
−	}}
	== Usage Notes ==		== Usage Notes ==

@@ Line 2: / Line 2: @@
 '''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>
-'''xref:''' [http://arabidopsis.org/servlets/TairObject?type=communication&id=TED TAIR:TED]<br>
+'''xref:''' [http://arabidopsis.org/servlets/TairObject?accession=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>
 '''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>

@@ Line 2: / Line 2: @@
 '''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>
-'''xref:''' [http://arabidopsis.org/servlets/TairObject?type=communication&id=TED\ TAIR:TED\:0000004]<br>
+'''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>
 '''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>

@@ Line 2: / Line 2: @@
 '''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>
-'''xref:''' [http://arabidopsis.org/servlets/TairObject?accession=TED\ TAIR:TED\:0000004]<br>
+'''xref:''' [http://arabidopsis.org/servlets/TairObject?type=communication&id=TED\ TAIR:TED\:0000004]<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>

@@ Line 2: / Line 2: @@
 '''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>
-'''xref:''' [ TAIR:TED\:0000004]<br>
+'''xref:''' [http://arabidopsis.org/servlets/TairObject?accession=TED\ TAIR:TED\:0000004]<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>