209 results
- Go to itemPost processing workflow for MSstatsTMT. Requires output from MSstatsConverter output. As an example input, an intermediate resul…1
- Go to itemMatch MS signals to molecules from a database by mass. Web Documentation for AccurateMassSearch1
- Go to itemThis node can be used to read the output of the TextExporter tool into a KNIME table. The TextExporter, when applied to a feature…1
- Go to itemUses accurate mass based on multiple adduct grouping steps (adducts, neutral losses). Example input data: To download the data fr…0
- Go to itemUses adduct grouping and de-novo identification with SIRIUS/CSI:FingerID. Example input data: To download the data from the archi…0
- Go to itemUses the ProteomicsLFQ that contains the standard proteomics LFQ pipeline, after peptide and protein identification. Applies post…0
- Go to itemCombines peptide identifications from X!Tandem and Comet. Uses normalized feature intensities for peptide quantification. No smar…0
- Go to itemThese QC metanodes are preconfigured to be plugged into your workflow. Remember to adapt contained input nodes where applicable.0
- Go to itemThis workflow performs a basic peptide identification search, infers proteins and computes abundances using spectral counting. Th…0
- Go to itemSimple workflow for peptide identification and quantification. No smart protein inference is done and all possible proteins are r…0
- Go to itemIdentification of small molecules via spectral library search using MetaboliteSpectralMatcher. Example input data: To download th…0
- Go to itemThis workflow performs a basic peptide identification search. The mzML files are searched with X!Tandem against a protein databas…0
- Go to itemUses MSstatsConverter to make tables that are processed in short R code scripts in various nodes. A consensusXML file from an LFQ…0
- Go to itemIdentification with X!Tandem in the ID meta node, Protein Inference with Fido and protein quantification based on feature intensi…0
- Go to itemDirectly uses the OpenSWATHWorkflow node with inputs and outputs. Requires an existing Assay Library as input. Example input data…0
- Go to itemQuantification and identification via accurate mass search with downstream processing and visualisation. Example input data: To d…0
- Go to itemUses Decoy generation from DDA data, targeted DIA analysis using OpenSWATH and pyprophet for statistical validation. Example inpu…0
- Go to itemUses MSGFPlus and Percolator for peptide identification, Luciphor to identify phosphorylation sites on peptide sequences and then…0
- Go to itemUses X!Tandem to identify peptides and then uses various Meta Nodes for QC metrics. Requires mzML spectrum files as input, and a …0