diff exomedepth.xml @ 8:5d60331757d3 draft default tip

"planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/exomedepth commit 9eb6d07510ccf27d6499172d62c81661078ec57b"
author iuc
date Wed, 25 Nov 2020 18:37:13 +0000
parents 45af4a9748cf
children
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--- a/exomedepth.xml	Fri Nov 08 13:25:44 2019 -0500
+++ b/exomedepth.xml	Wed Nov 25 18:37:13 2020 +0000
@@ -103,7 +103,7 @@
 
 ExomeDepth uses read depth data to call CNVs from exome sequencing experiments. A key idea is that the test 
 exome should be compared to a matched aggregate reference set. This aggregate reference set should combine 
-exomes from the same batch and it should also be optimized for each exome. It will certainly differ from one exome 
+exomes from the same batch and it should also be optimized for each exome. It will certainly differ from one exome 
 to the next.
 
 Importantly, ExomeDepth assumes that the CNV of interest is absent from the aggregate reference set. Hence 
@@ -111,8 +111,8 @@
 common CNVs, if the call is also present in the aggregate reference. ExomeDepth is really suited to detect rare 
 CNV calls (typically for rare Mendelian disorder analysis).
 
-The ideas used in this package are of course not specific to exome sequencing and could be applied to other 
-targeted sequencing datasets, as long as they contain a sufficiently large number of exons to estimate the parameters 
+The ideas used in this package are of course not specific to exome sequencing and could be applied to other 
+targeted sequencing datasets, as long as they contain a sufficiently large number of exons to estimate the parameters 
 (at least 20 genes, say, but probably more would be useful). Also note that PCR based enrichment studies are often 
 not well suited for this type of read depth analysis. The reason is that as the number of cycles is often set to a high 
 number in order to equalize the representation of each amplicon, which can discard the CNV information.