Research Object Crate for Anti-Cancer potential of a new Derivative of Caffeic Acid Phenethyl Ester targeting the centrosome - DIA-NN data KNIME processing workflow

KNIME workflow describing the analysis of mass spectrometry dataset related to the publication "Anti-Cancer potential of a new Derivative of Caffeic Acid Phenethyl Ester targeting the centrosome". Workflow was built using the [KNIME software container environment](https://github.com/OmicsWorkflows/KNIME_docker_vnc/tree/version_4.1.3a), version 4.1.3a, which can be created using "docker pull cfprot/knime:4.1.3a" command in Docker. Please consult Github pages for more information on how to use the container. Briefly, the KNIME workflow contains the contaminants removal, log2 intensities transformation, data filtering, normalization and statistical evaluation using the limma test. The input data for the KNIME workflow (the report.tsv from DIA-NN) as well as raw LC-MS data can be found on PRIDE repository under the identifier PXD061079. Processed data and figures from the data quality control are located in the \_\_outputs\_\_ folder, sobfolder tables and figures, respectively.

Author

Katerina Hanakova, David Potesil

License

CC-BY-4.0

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