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diff --git a/workflows/ProteomIQon_0.0.2_Tools/Preprocessing_64/net47/ProteomIQon.xml b/workflows/ProteomIQon_0.0.2_Tools/Preprocessing_64/net47/ProteomIQon.xml
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+++ b/workflows/ProteomIQon_0.0.2_Tools/Preprocessing_64/net47/ProteomIQon.xml
@@ -0,0 +1,208 @@
+<?xml version="1.0" encoding="utf-8"?>
+<doc>
+<assembly><name>ProteomIQon</name></assembly>
+<members>
+<member name="M:ProteomIQon.FDRControl'.calculateQValueStorey``1(``0[],Microsoft.FSharp.Core.FSharpFunc{``0,System.Boolean},Microsoft.FSharp.Core.FSharpFunc{``0,System.Double},Microsoft.FSharp.Core.FSharpFunc{``0,System.Double})">
+<summary>
+ Gives a function to calculate the q value for a score in a dataset using Storeys method
+</summary>
+</member>
+<member name="M:ProteomIQon.FDRControl'.calculateQValueLogReg``1(System.Double,``0[],Microsoft.FSharp.Core.FSharpFunc{``0,System.Boolean},Microsoft.FSharp.Core.FSharpFunc{``0,System.Double},Microsoft.FSharp.Core.FSharpFunc{``0,System.Double})">
+<summary>
+ Gives a function to calculate the q value for a score in a dataset using Lukas method and Levenberg Marguardt fitting
+</summary>
+</member>
+<member name="M:ProteomIQon.FDRControl'.calculateFDRwithDecoyTargetRatio(ProteomIQon.ProteinInference'.InferredProteinClassItemScored[])">
+<summary>
+ Calculates Decoy/Target ratio
+</summary>
+</member>
+<member name="M:ProteomIQon.FDRControl'.calculateFDRwithMAYU(ProteomIQon.ProteinInference'.InferredProteinClassItemScored[],System.Tuple{System.String,System.String}[])">
+<summary>
+ Calculates the fdr of the data using the MAYU method. The proteinsFromDB is the DB that was used for the inference.
+</summary>
+</member>
+<member name="M:ProteomIQon.FDRControl'.expectedFP(ProteomIQon.ProteinInference'.InferredProteinClassItemScored[])">
+<summary>
+ Calculates the expected false positives for every protein bin and sums them up.
+</summary>
+</member>
+<member name="M:ProteomIQon.FDRControl'.binProteinsLength(ProteomIQon.ProteinInference'.InferredProteinClassItemScored[],System.Tuple{System.String,System.String}[],System.Double)">
+<summary>
+ Returns proteins sorted into bins according to their size.
+ proteins are the proteins which were found in either the reverse or forward proteininference, proteinsFromDB are the proteins with peptide sequence
+ on which the inference was performed.
+</summary>
+</member>
+<member name="M:ProteomIQon.FDRControl'.estimatePi0HG(System.Double,System.Double,System.Double)">
+<summary>
+ Estimates the false positives given the total number of entries, the number of target hits and the number of decoy hits
+</summary>
+</member>
+<member name="M:ProteomIQon.FDRControl'.getQValues``1(System.Double,Microsoft.FSharp.Core.FSharpFunc{``0,System.Double},Microsoft.FSharp.Core.FSharpFunc{``0,System.Boolean},``0[])">
+<summary>
+ Calculates q values for target/decoy dataset
+</summary>
+</member>
+<member name="M:ProteomIQon.FDRControl'.getQValueFunc``1(System.Double,System.Double,Microsoft.FSharp.Core.FSharpFunc{``0,System.Double},Microsoft.FSharp.Core.FSharpFunc{``0,System.Boolean},``0[])">
+<summary>
+ Calculates q value mapping funtion for target/decoy dataset
+</summary>
+</member>
+<member name="M:ProteomIQon.FDRControl'.binningFunction``1(System.Double,System.Double,Microsoft.FSharp.Core.FSharpFunc{``0,System.Double},Microsoft.FSharp.Core.FSharpFunc{``0,System.Boolean},``0[])">
+<summary>
+ returns scores, pep, q
+</summary>
+</member>
+<member name="M:ProteomIQon.FDRControl'.getLogisticRegressionFunction(FSharp.Stats.Vector{System.Double},FSharp.Stats.Vector{System.Double},System.Double)">
+<summary>
+ for given data, creates a logistic regression model and returns a mapping function for this model
+</summary>
+</member>
+<member name="T:ProteomIQon.ProteinInference'.QValueInput">
+<summary>
+ Input for QValue calulation
+</summary>
+</member>
+<member name="T:ProteomIQon.ProteinInference'.InferredProteinClassItemOut">
+<summary>
+ For a group of proteins, contains information about all peptides that are put into the output file.
+</summary>
+</member>
+<member name="T:ProteomIQon.ProteinInference'.InferredProteinClassItemQValue">
+<summary>
+ For a group of proteins, contains information about all peptides that might be used for its quantification and score / q-value calculated for it.
+</summary>
+</member>
+<member name="T:ProteomIQon.ProteinInference'.InferredProteinClassItemScored">
+<summary>
+ For a group of proteins, contains information about all peptides that might be used for its quantification and score calculated for it.
+</summary>
+</member>
+<member name="M:ProteomIQon.ProteinInference'.assignDecoyScoreToTargetScore(System.String,Microsoft.FSharp.Collections.FSharpMap{System.String,System.Tuple{System.Double,System.String[]}})">
+<summary>
+ Looks if the given protein accession is present in a map of identified decoy proteins and assigns its score when found.
+</summary>
+</member>
+<member name="M:ProteomIQon.ProteinInference'.assignPeptideScores(System.String[],Microsoft.FSharp.Collections.FSharpMap{System.String,System.Double})">
+<summary>
+ Sums up score of all peptide sequences
+</summary>
+</member>
+<member name="M:ProteomIQon.ProteinInference'.createPeptideProteinRelation``4(System.Collections.Generic.IEnumerable{Microsoft.FSharp.Core.FSharpOption{BioFSharp.PeptideClassification.ProteinModel{``0,``1,``2,Microsoft.FSharp.Collections.FSharpList{``3}}}})">
+<summary>
+ Creates a lookup data base to assign peptides to the proteins they are contained in
+</summary>
+</member>
+<member name="M:ProteomIQon.ProteinInference'.assignTranscriptsToGenes(System.String,System.Collections.Generic.IEnumerable{BioFSharp.IO.GFF3.GFFLine{System.Collections.Generic.IEnumerable{System.Char}}})">
+<summary>
+ By reading GFF creates the protein models (relationships of proteins to each other) which basically means grouping the rnas over the gene loci
+ TODO: Don&apos;t group over order but rather group over id
+</summary>
+</member>
+<member name="M:ProteomIQon.ProteinInference'.createProteinModelInfoFromEntry(System.Int32,System.String,BioFSharp.IO.GFF3.GFFEntry)">
+<summary>
+ Reads geographical information about protein from gff entry and builds the modelinfo of it
+ This function takes an RNA gff3 entry and therefore will contain the splice variant id of the gene in its result.
+ This splice variant id should be the same in the given FastA-file.
+</summary>
+</member>
+<member name="M:ProteomIQon.ProteinInference'.isRNA(BioFSharp.IO.GFF3.GFFLine{System.Collections.Generic.IEnumerable{System.Char}})">
+<summary>
+checks if GFF line describes rna
+</summary>
+</member>
+<member name="M:ProteomIQon.ProteinInference'.isGene(BioFSharp.IO.GFF3.GFFLine{System.Collections.Generic.IEnumerable{System.Char}})">
+<summary>
+checks if GFF line describes gene
+</summary>
+</member>
+<member name="M:ProteomIQon.ProteinInference'.createScoreTargetDecoyCount(System.Double,System.Double,System.Double)">
+<summary>
+ Gives the decoy and target count at a specific score
+</summary>
+</member>
+<member name="M:ProteomIQon.SearchDB'.getSDBParamsBy(System.Data.SQLite.SQLiteConnection)">
+<summary>
+ Returns SearchDbParams of a existing database by filePath
+</summary>
+</member>
+<member name="M:ProteomIQon.SearchDB'.selectProteins(System.Data.SQLite.SQLiteConnection)">
+<summary>
+ Returns Accession and Sequence of Proteins from SearchDB
+</summary>
+</member>
+<member name="M:ProteomIQon.SearchDB'.getProteinPeptideLookUpFromFileBy(System.Data.SQLite.SQLiteConnection)">
+<summary>
+ Prepares a function which returns a list of protein Accessions tupled with the peptide sequence whose ID they were retrieved by
+</summary>
+</member>
+<member name="M:ProteomIQon.SearchDB'.DB'.SQLiteQuery'.prepareSelectPepSequenceByPepSequenceID(System.Data.SQLite.SQLiteConnection,System.Data.SQLite.SQLiteTransaction)">
+<summary>
+ Prepares statement to select a Peptide Sequence entry by ID
+</summary>
+</member>
+<member name="M:ProteomIQon.SearchDB'.DB'.SQLiteQuery'.prepareSelectProteinAccessionByID(System.Data.SQLite.SQLiteConnection,System.Data.SQLite.SQLiteTransaction)">
+<summary>
+ Prepares statement to select a Protein Accession entry by ID
+</summary>
+</member>
+<member name="M:ProteomIQon.Fitting'.NonLinearRegression'.LevenbergMarquardtConstrained'.estimatedParamsWithRSS(FSharp.Stats.Fitting.NonLinearRegression.Model,FSharp.Stats.Fitting.NonLinearRegression.SolverOptions,System.Double,System.Double,FSharp.Stats.Vector{System.Double},FSharp.Stats.Vector{System.Double},System.Double[],System.Double[])">
+<summary>
+ Returns a parameter vector tupled with its residual sum of squares (RSS) as a possible solution for linear least square based nonlinear fitting of a given dataset (xData, yData) with a given
+ model function.
+</summary>
+</member>
+<member name="M:ProteomIQon.Fitting'.NonLinearRegression'.LevenbergMarquardtConstrained'.initialParamsOverRange(System.Double[],System.Double[],System.Double[])">
+<summary>
+ Returns an estimate for an initial parameter for the linear least square estimator for a given dataset (xData, yData).
+ The steepness is given as an array and not estimated. An initial estimate is returned for every given steepness.
+ The initial estimation is intended for a logistic function.
+</summary>
+</member>
+<member name="M:ProteomIQon.Fitting'.NonLinearRegression'.LevenbergMarquardtConstrained'.initialParam(System.Double[],System.Double[])">
+<summary>
+ Returns an estimate for an initial parameter for the linear least square estimator for a given dataset (xData, yData).
+ The initial estimation is intended for a logistic function.
+</summary>
+</member>
+<member name="P:ProteomIQon.Fitting'.NonLinearRegression'.LevenbergMarquardtConstrained'.LogisticFunction">
+<summary>
+ Logistic Function
+ Line model of the form &quot;y = a * x + b&quot;
+</summary>
+</member>
+<member name="T:ProteomIQon.Domain.PSMStatisticsParams">
+
+</member>
+<member name="P:ProteomIQon.Domain.AndromedaParams.PMinPMax">
+<summary>
+ selects the minimum and maximum amount of peaks retained in a 100 Da window, all combinations are tested and the best result is kept.
+</summary>
+</member>
+<member name="P:ProteomIQon.Domain.WaveletPeakPickingParams.NumberOfScales">
+<summary>
+ Centroidization
+</summary>
+</member>
+<member name="T:ProteomIQon.Dto.QuantificationResult">
+
+</member>
+<member name="T:ProteomIQon.Dto">
+
+</member>
+<member name="M:ProteomIQon.Core.MzIO.Peaks.unzipIMzliteArray(MzIO.Commons.Arrays.IMzIOArray{MzIO.Binary.Peak1D})">
+
+</member>
+<member name="M:ProteomIQon.Core.MzIO.Reader.beginTransaction(MzIO.IO.IMzIODataReader)">
+<summary>
+ Initializes a transaction scope.
+</summary>
+</member>
+<member name="M:ProteomIQon.Core.MzIO.Reader.getDefaultRunID(MzIO.IO.IMzIODataReader)">
+<summary>
+ Returns the default runID used by manufacturers
+</summary>
+</member>
+</members>
+</doc>
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diff --git a/workflows/ProteomIQon_0.0.2_Tools/Preprocessing_64/netcoreapp2.1/Preprocessing.runtimeconfig.dev.json b/workflows/ProteomIQon_0.0.2_Tools/Preprocessing_64/netcoreapp2.1/Preprocessing.runtimeconfig.dev.json
new file mode 100644
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+++ b/workflows/ProteomIQon_0.0.2_Tools/Preprocessing_64/netcoreapp2.1/Preprocessing.runtimeconfig.dev.json
@@ -0,0 +1,10 @@
+{
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+      "C:\\Users\\david\\.nuget\\packages",
+      "C:\\Microsoft\\Xamarin\\NuGet",
+      "C:\\Program Files\\dotnet\\sdk\\NuGetFallbackFolder"
+    ]
+  }
+}
\ No newline at end of file
diff --git a/workflows/ProteomIQon_0.0.2_Tools/Preprocessing_64/netcoreapp2.1/Preprocessing.runtimeconfig.json b/workflows/ProteomIQon_0.0.2_Tools/Preprocessing_64/netcoreapp2.1/Preprocessing.runtimeconfig.json
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+++ b/workflows/ProteomIQon_0.0.2_Tools/Preprocessing_64/netcoreapp2.1/Preprocessing.runtimeconfig.json
@@ -0,0 +1,9 @@
+{
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+}
\ No newline at end of file
diff --git a/workflows/ProteomIQon_0.0.2_Tools/Preprocessing_64/netcoreapp2.1/ProteomIQon.dll b/workflows/ProteomIQon_0.0.2_Tools/Preprocessing_64/netcoreapp2.1/ProteomIQon.dll
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diff --git a/workflows/ProteomIQon_0.0.2_Tools/Preprocessing_64/netcoreapp2.1/ProteomIQon.xml b/workflows/ProteomIQon_0.0.2_Tools/Preprocessing_64/netcoreapp2.1/ProteomIQon.xml
new file mode 100644
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--- /dev/null
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@@ -0,0 +1,208 @@
+<?xml version="1.0" encoding="utf-8"?>
+<doc>
+<assembly><name>ProteomIQon</name></assembly>
+<members>
+<member name="M:ProteomIQon.FDRControl'.calculateQValueStorey``1(``0[],Microsoft.FSharp.Core.FSharpFunc{``0,System.Boolean},Microsoft.FSharp.Core.FSharpFunc{``0,System.Double},Microsoft.FSharp.Core.FSharpFunc{``0,System.Double})">
+<summary>
+ Gives a function to calculate the q value for a score in a dataset using Storeys method
+</summary>
+</member>
+<member name="M:ProteomIQon.FDRControl'.calculateQValueLogReg``1(System.Double,``0[],Microsoft.FSharp.Core.FSharpFunc{``0,System.Boolean},Microsoft.FSharp.Core.FSharpFunc{``0,System.Double},Microsoft.FSharp.Core.FSharpFunc{``0,System.Double})">
+<summary>
+ Gives a function to calculate the q value for a score in a dataset using Lukas method and Levenberg Marguardt fitting
+</summary>
+</member>
+<member name="M:ProteomIQon.FDRControl'.calculateFDRwithDecoyTargetRatio(ProteomIQon.ProteinInference'.InferredProteinClassItemScored[])">
+<summary>
+ Calculates Decoy/Target ratio
+</summary>
+</member>
+<member name="M:ProteomIQon.FDRControl'.calculateFDRwithMAYU(ProteomIQon.ProteinInference'.InferredProteinClassItemScored[],System.Tuple{System.String,System.String}[])">
+<summary>
+ Calculates the fdr of the data using the MAYU method. The proteinsFromDB is the DB that was used for the inference.
+</summary>
+</member>
+<member name="M:ProteomIQon.FDRControl'.expectedFP(ProteomIQon.ProteinInference'.InferredProteinClassItemScored[])">
+<summary>
+ Calculates the expected false positives for every protein bin and sums them up.
+</summary>
+</member>
+<member name="M:ProteomIQon.FDRControl'.binProteinsLength(ProteomIQon.ProteinInference'.InferredProteinClassItemScored[],System.Tuple{System.String,System.String}[],System.Double)">
+<summary>
+ Returns proteins sorted into bins according to their size.
+ proteins are the proteins which were found in either the reverse or forward proteininference, proteinsFromDB are the proteins with peptide sequence
+ on which the inference was performed.
+</summary>
+</member>
+<member name="M:ProteomIQon.FDRControl'.estimatePi0HG(System.Double,System.Double,System.Double)">
+<summary>
+ Estimates the false positives given the total number of entries, the number of target hits and the number of decoy hits
+</summary>
+</member>
+<member name="M:ProteomIQon.FDRControl'.getQValues``1(System.Double,Microsoft.FSharp.Core.FSharpFunc{``0,System.Double},Microsoft.FSharp.Core.FSharpFunc{``0,System.Boolean},``0[])">
+<summary>
+ Calculates q values for target/decoy dataset
+</summary>
+</member>
+<member name="M:ProteomIQon.FDRControl'.getQValueFunc``1(System.Double,System.Double,Microsoft.FSharp.Core.FSharpFunc{``0,System.Double},Microsoft.FSharp.Core.FSharpFunc{``0,System.Boolean},``0[])">
+<summary>
+ Calculates q value mapping funtion for target/decoy dataset
+</summary>
+</member>
+<member name="M:ProteomIQon.FDRControl'.binningFunction``1(System.Double,System.Double,Microsoft.FSharp.Core.FSharpFunc{``0,System.Double},Microsoft.FSharp.Core.FSharpFunc{``0,System.Boolean},``0[])">
+<summary>
+ returns scores, pep, q
+</summary>
+</member>
+<member name="M:ProteomIQon.FDRControl'.getLogisticRegressionFunction(FSharp.Stats.Vector{System.Double},FSharp.Stats.Vector{System.Double},System.Double)">
+<summary>
+ for given data, creates a logistic regression model and returns a mapping function for this model
+</summary>
+</member>
+<member name="T:ProteomIQon.ProteinInference'.QValueInput">
+<summary>
+ Input for QValue calulation
+</summary>
+</member>
+<member name="T:ProteomIQon.ProteinInference'.InferredProteinClassItemOut">
+<summary>
+ For a group of proteins, contains information about all peptides that are put into the output file.
+</summary>
+</member>
+<member name="T:ProteomIQon.ProteinInference'.InferredProteinClassItemQValue">
+<summary>
+ For a group of proteins, contains information about all peptides that might be used for its quantification and score / q-value calculated for it.
+</summary>
+</member>
+<member name="T:ProteomIQon.ProteinInference'.InferredProteinClassItemScored">
+<summary>
+ For a group of proteins, contains information about all peptides that might be used for its quantification and score calculated for it.
+</summary>
+</member>
+<member name="M:ProteomIQon.ProteinInference'.assignDecoyScoreToTargetScore(System.String,Microsoft.FSharp.Collections.FSharpMap{System.String,System.Tuple{System.Double,System.String[]}})">
+<summary>
+ Looks if the given protein accession is present in a map of identified decoy proteins and assigns its score when found.
+</summary>
+</member>
+<member name="M:ProteomIQon.ProteinInference'.assignPeptideScores(System.String[],Microsoft.FSharp.Collections.FSharpMap{System.String,System.Double})">
+<summary>
+ Sums up score of all peptide sequences
+</summary>
+</member>
+<member name="M:ProteomIQon.ProteinInference'.createPeptideProteinRelation``4(System.Collections.Generic.IEnumerable{Microsoft.FSharp.Core.FSharpOption{BioFSharp.PeptideClassification.ProteinModel{``0,``1,``2,Microsoft.FSharp.Collections.FSharpList{``3}}}})">
+<summary>
+ Creates a lookup data base to assign peptides to the proteins they are contained in
+</summary>
+</member>
+<member name="M:ProteomIQon.ProteinInference'.assignTranscriptsToGenes(System.String,System.Collections.Generic.IEnumerable{BioFSharp.IO.GFF3.GFFLine{System.Collections.Generic.IEnumerable{System.Char}}})">
+<summary>
+ By reading GFF creates the protein models (relationships of proteins to each other) which basically means grouping the rnas over the gene loci
+ TODO: Don&apos;t group over order but rather group over id
+</summary>
+</member>
+<member name="M:ProteomIQon.ProteinInference'.createProteinModelInfoFromEntry(System.Int32,System.String,BioFSharp.IO.GFF3.GFFEntry)">
+<summary>
+ Reads geographical information about protein from gff entry and builds the modelinfo of it
+ This function takes an RNA gff3 entry and therefore will contain the splice variant id of the gene in its result.
+ This splice variant id should be the same in the given FastA-file.
+</summary>
+</member>
+<member name="M:ProteomIQon.ProteinInference'.isRNA(BioFSharp.IO.GFF3.GFFLine{System.Collections.Generic.IEnumerable{System.Char}})">
+<summary>
+checks if GFF line describes rna
+</summary>
+</member>
+<member name="M:ProteomIQon.ProteinInference'.isGene(BioFSharp.IO.GFF3.GFFLine{System.Collections.Generic.IEnumerable{System.Char}})">
+<summary>
+checks if GFF line describes gene
+</summary>
+</member>
+<member name="M:ProteomIQon.ProteinInference'.createScoreTargetDecoyCount(System.Double,System.Double,System.Double)">
+<summary>
+ Gives the decoy and target count at a specific score
+</summary>
+</member>
+<member name="M:ProteomIQon.SearchDB'.getSDBParamsBy(System.Data.SQLite.SQLiteConnection)">
+<summary>
+ Returns SearchDbParams of a existing database by filePath
+</summary>
+</member>
+<member name="M:ProteomIQon.SearchDB'.selectProteins(System.Data.SQLite.SQLiteConnection)">
+<summary>
+ Returns Accession and Sequence of Proteins from SearchDB
+</summary>
+</member>
+<member name="M:ProteomIQon.SearchDB'.getProteinPeptideLookUpFromFileBy(System.Data.SQLite.SQLiteConnection)">
+<summary>
+ Prepares a function which returns a list of protein Accessions tupled with the peptide sequence whose ID they were retrieved by
+</summary>
+</member>
+<member name="M:ProteomIQon.SearchDB'.DB'.SQLiteQuery'.prepareSelectPepSequenceByPepSequenceID(System.Data.SQLite.SQLiteConnection,System.Data.SQLite.SQLiteTransaction)">
+<summary>
+ Prepares statement to select a Peptide Sequence entry by ID
+</summary>
+</member>
+<member name="M:ProteomIQon.SearchDB'.DB'.SQLiteQuery'.prepareSelectProteinAccessionByID(System.Data.SQLite.SQLiteConnection,System.Data.SQLite.SQLiteTransaction)">
+<summary>
+ Prepares statement to select a Protein Accession entry by ID
+</summary>
+</member>
+<member name="M:ProteomIQon.Fitting'.NonLinearRegression'.LevenbergMarquardtConstrained'.estimatedParamsWithRSS(FSharp.Stats.Fitting.NonLinearRegression.Model,FSharp.Stats.Fitting.NonLinearRegression.SolverOptions,System.Double,System.Double,FSharp.Stats.Vector{System.Double},FSharp.Stats.Vector{System.Double},System.Double[],System.Double[])">
+<summary>
+ Returns a parameter vector tupled with its residual sum of squares (RSS) as a possible solution for linear least square based nonlinear fitting of a given dataset (xData, yData) with a given
+ model function.
+</summary>
+</member>
+<member name="M:ProteomIQon.Fitting'.NonLinearRegression'.LevenbergMarquardtConstrained'.initialParamsOverRange(System.Double[],System.Double[],System.Double[])">
+<summary>
+ Returns an estimate for an initial parameter for the linear least square estimator for a given dataset (xData, yData).
+ The steepness is given as an array and not estimated. An initial estimate is returned for every given steepness.
+ The initial estimation is intended for a logistic function.
+</summary>
+</member>
+<member name="M:ProteomIQon.Fitting'.NonLinearRegression'.LevenbergMarquardtConstrained'.initialParam(System.Double[],System.Double[])">
+<summary>
+ Returns an estimate for an initial parameter for the linear least square estimator for a given dataset (xData, yData).
+ The initial estimation is intended for a logistic function.
+</summary>
+</member>
+<member name="P:ProteomIQon.Fitting'.NonLinearRegression'.LevenbergMarquardtConstrained'.LogisticFunction">
+<summary>
+ Logistic Function
+ Line model of the form &quot;y = a * x + b&quot;
+</summary>
+</member>
+<member name="T:ProteomIQon.Domain.PSMStatisticsParams">
+
+</member>
+<member name="P:ProteomIQon.Domain.AndromedaParams.PMinPMax">
+<summary>
+ selects the minimum and maximum amount of peaks retained in a 100 Da window, all combinations are tested and the best result is kept.
+</summary>
+</member>
+<member name="P:ProteomIQon.Domain.WaveletPeakPickingParams.NumberOfScales">
+<summary>
+ Centroidization
+</summary>
+</member>
+<member name="T:ProteomIQon.Dto.QuantificationResult">
+
+</member>
+<member name="T:ProteomIQon.Dto">
+
+</member>
+<member name="M:ProteomIQon.Core.MzIO.Peaks.unzipIMzliteArray(MzIO.Commons.Arrays.IMzIOArray{MzIO.Binary.Peak1D})">
+
+</member>
+<member name="M:ProteomIQon.Core.MzIO.Reader.beginTransaction(MzIO.IO.IMzIODataReader)">
+<summary>
+ Initializes a transaction scope.
+</summary>
+</member>
+<member name="M:ProteomIQon.Core.MzIO.Reader.getDefaultRunID(MzIO.IO.IMzIODataReader)">
+<summary>
+ Returns the default runID used by manufacturers
+</summary>
+</member>
+</members>
+</doc>
diff --git a/workflows/ProteomIQon_0.0.2_Tools/Preprocessing_64/netcoreapp2.1/baf2sql_c.dll b/workflows/ProteomIQon_0.0.2_Tools/Preprocessing_64/netcoreapp2.1/baf2sql_c.dll
new file mode 100644
index 0000000000000000000000000000000000000000..070ad3e0afb14b9968d0707c7a975d85a825a005
Binary files /dev/null and b/workflows/ProteomIQon_0.0.2_Tools/Preprocessing_64/netcoreapp2.1/baf2sql_c.dll differ
diff --git a/workflows/ProteomIQon_0.0.2_Tools/ProteomIQon.cwl b/workflows/ProteomIQon_0.0.2_Tools/ProteomIQon.cwl
index 4d3977fb8755566e3eff77c6b0ed27f2a9619d24..499b5a446cbb0fee9bcef695796ceb9e8cb57750 100644
--- a/workflows/ProteomIQon_0.0.2_Tools/ProteomIQon.cwl
+++ b/workflows/ProteomIQon_0.0.2_Tools/ProteomIQon.cwl
@@ -35,7 +35,7 @@ steps:
     run: proteomiqon-peptidespectrummatching.cwl
     in:
       stageDirectory: stage
-      inputDirectory: Preprocessing/dir
+      inputDirectory: outputMzML
       database: db
       params: paramsPSM
       outputDirectory: outputPSM
@@ -55,7 +55,7 @@ steps:
     run: proteomiqon-psmbasedquantification.cwl
     in:
       stageDirectory: stage
-      inputDirectoryI: Preprocessing/dir
+      inputDirectoryI: outputMzML
       inputDirectoryII: PSMStatistics/dir
       database: db
       params: paramsPSMBasedQuant
@@ -75,7 +75,7 @@ steps:
 outputs:
   mzlite:
     type: Directory
-    outputSource: Preprocessing/dir
+    outputSource: outputMzML
   psm:
     type: Directory
     outputSource: PeptideSpectrumMatching/dir
diff --git a/workflows/ProteomIQon_0.0.2_Tools/proteomiqon-preprocessing.cwl b/workflows/ProteomIQon_0.0.2_Tools/proteomiqon-preprocessing.cwl
index 40254c73702ff8a902ca573e4ef98b7089c72e51..707157878b818d2cfd7a7dea35634f4f84693c4f 100644
--- a/workflows/ProteomIQon_0.0.2_Tools/proteomiqon-preprocessing.cwl
+++ b/workflows/ProteomIQon_0.0.2_Tools/proteomiqon-preprocessing.cwl
@@ -2,7 +2,7 @@
 
 cwlVersion: v1.2
 class: CommandLineTool
-baseCommand:  D:\Lukas\CPN2060_CoIP\workflows\ProteomIQon_0.0.2_Tools\Preprocessing\net4.7\ProteomIQon.Preprocessing.exe
+baseCommand:  D:\Lukas\CPN2060_CoIP\workflows\ProteomIQon_0.0.2_Tools\Preprocessing_64\net47\Preprocessing.exe
 inputs:
   # inputtype that declares the directory to be staged?
   stageDirectory: