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docs/tutorials/knime-user-tutorial/lfq-peptide-protein.md
@@ -92,7 +92,7 @@ FDR of < 1 %.
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**Community Nodes** > **OpenMS** > **Identification Processing**). `FalseDiscoveryRate` is meant to be run on data with protein inferencences
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(more on that later), in order to just use it for peptides, open the configure window, select "show advanced parameter" and toggle "force" to true.
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- In order to set the FDR level to 1%, we need an `IDFilter` node from **Community Nodes** > **OpenMS** > **Identification Processing**.
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- Configuring its parameter `FDR→PSM` to 0.01 will do the trick. The FDR calculations (embedded in the idXML) from
+ Configuring the parameter `FDR→PSM` of the `FalseDiscoveryRate` node to 0.01 will do the trick. The FDR calculations (embedded in the idXML) from
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the `FalseDiscoveryRate` node will go into the *in* port of the `IDFilter` node.
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- Execute your workflow and inspect the results using `IDTextReader` like you did before. How many peptides did you
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identify at this FDR threshold?
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