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Excel Translator
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Explore the ChEBI Ontology (converted to v5.2)
Original Workflow: https://hub.knime.com/knime/spaces/Examples/08_Other_Analytics_Types/02_Chemistry_and_Life_Sciences/05_ChEBI_ontology_explorer~F0erB7Sb3MmoGxDc/current-state
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Exploring A Pizza Ontology with an OWL file (converted to v5.2)
Original workflow: https://hub.knime.com/knime/spaces/Examples/08_Other_Analytics_Types/06_Semantic_Web/12_Exploring-pizza-ontology-with-semantic-web~XYhcwbBj7In9hb70/current-state
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FAIR data with KNIME (converted to v5.2)
Original Repo: https://hub.knime.com/knime/spaces/Life%20Sciences/Laboratory%20Data/FAIR%20data%20with%20KNIME~Py9va0SQesbauPwS/current-state Replaced all deprecated nodes, and fixed some bugs in the components
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Gene Expression Analysis (converted to v5.2)
Original repository location here: https://hub.knime.com/knime/spaces/Examples/08_Other_Analytics_Types/02_Chemistry_and_Life_Sciences/07_Gene_Expression_Analysis~vUgr-iyGudXur-1B/current-state This workflow requires R to be installed on your local machine, follow this link to see how it can be done: https://docs.knime.com/latest/r_installation_guide/index.html#_introduction For the 'R Snippet" node to work, you need to go into R and install the library 'edgeR' : https://bioconductor.org/packages/release/bioc/html/edgeR.html For the last component in the workflow you will need to input your credentials to 'Google Authenticator' and you need to add a driver for 'Google BigQuery Connector' node. The link below details how this can be done: https://docs.knime.com/latest/db_extension_guide/index.html#register_jdbc Actual link to driver needed: https://cloud.google.com/bigquery/docs/reference/odbc-jdbc-drivers If using API key, you can follow this on how to get connected: https://www.knime.com/blog/tutorial-importing-data-from-google-bigquery
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Generate ChEMBL Predictions (converted to v5.2 with data)
Original repository location here: https://hub.knime.com/knime/spaces/Life%20Sciences/Cheminformatics/ONNX~-N2OaupF0WlFkAZF/ This is a conversion of the original workflow to KNIME Analytics Platform v5.2 with the necessary Data included Python is needed on your local machine to run some of the legacy nodes follow the guide below: https://docs.knime.com/latest/python_installation_guide/index.html#_configure_the_ap_wide_environment Pathing for setting up Python with KNIME: - Under Preferences -> KNIME -> Conda; specify the folder - Under Preferences -> KNIME -> Python (legacy); Create a new enviroment and it will automatically download necessary dependencies
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Generic Translations using OpenAI
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Gut Microbiome Analysis of IBD Patients (16S) (Converted to v5.2)
Original repository: https://hub.knime.com/knime/spaces/Life%20Sciences/Bioinformatics/Microbiome_Analysis~O7Mx7ZakjXbft54O/current-state Additional packages needed for R: DADA2 You can use BiocManager::install('dada2') as using install.packages("dada2") will not work. How to get Bioc: https://www.bioconductor.org/install/
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Model Selection with Integrated Deployment (converted to v5.2)
Original: https://hub.knime.com/knime/spaces/Life%20Sciences/Events/2020_10_Integrated_Deployment_In_Action_Webinar/Model%20Selection%20with%20Integrated%20Deployment~VxE7Y-PGz8jP6LaU/current-state This is a version converted to work v5.2 on KNIME Analytics Platform
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NIR_Spectral_Data_Analysis (Converted to v5.2)
Original Repo: https://hub.knime.com/knime/spaces/Life%20Sciences/Laboratory%20Data/NIR_Spectral_Data_Analysis~tY7I5MbR1HUiwslO/
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Powerpoint Component
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Predicting the Purpose of a Drug (converted to v5.2)
Original: https://hub.knime.com/knime/spaces/Examples/08_Other_Analytics_Types/02_Chemistry_and_Life_Sciences/04_Prediction_Of_Drug_Purpose~dtJrrbFiIi8qefWN/ Note -> In order for some nodes to work, you need to increase memory allocation to KNIME Analytics platform or you will run into a Java heap error.
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Public
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TeachOpenCADD (converted to v5.2)
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Translations
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