Difference between revisions of "Post:New update of JMP Genomics"

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(Created page with "{{Post |Title=New update of JMP Genomics |Publication_date=2011/10/27 12:53:40 PM |Body=We have just installed the last version of JMP Genomics 5.1. JMP Genomics is statistical ...")
 
 
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{{Post
 
{{Post
|Title=New update of JMP Genomics
+
|Title=New update of JMP Genomics (v5.1)
 
|Publication_date=2011/10/27 12:53:40 PM
 
|Publication_date=2011/10/27 12:53:40 PM
|Body=We have just installed the last version of JMP Genomics 5.1.
+
|Body=We have just installed the last version of '''JMP Genomics 5.1'''.
 +
 
 
JMP Genomics is statistical discovery software from the two most trusted names in analytic software: SAS and JMP. Research organizations use JMP Genomics to uncover meaningful patterns in high-throughput genetics, expression, copy number and proteomics data. Dynamically interactive
 
JMP Genomics is statistical discovery software from the two most trusted names in analytic software: SAS and JMP. Research organizations use JMP Genomics to uncover meaningful patterns in high-throughput genetics, expression, copy number and proteomics data. Dynamically interactive
graphics make it easy to explore data relationships using a comprehensive set of traditional and
+
graphics make it easy to explore data relationships using a comprehensive set of traditional and advanced statistical algorithms.
advanced statistical algorithms.
+
 
|Summary=400
 
|Summary=400
 
|Category=News
 
|Category=News
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|Creation_date=2011/10/27 01:00:48 PM
 
|Creation_date=2011/10/27 01:00:48 PM
 
|Author=Fmancuso
 
|Author=Fmancuso
|Approved=No
+
|Approved=Yes
 +
|Outside_CRG=No
 
}}
 
}}

Latest revision as of 11:45, 3 November 2011

Published on 2011/10/27 12:53:40 PM by Fmancuso
We have just installed the last version of JMP Genomics 5.1.

JMP Genomics is statistical discovery software from the two most trusted names in analytic software: SAS and JMP. Research organizations use JMP Genomics to uncover meaningful patterns in high-throughput genetics, expression, copy number and proteomics data. Dynamically interactive

graphics make it easy to explore data relationships using a comprehensive set of traditional and advanced statistical algorithms.
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