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06_​BigQuery_​SciWalker_​Exploration

Explore Scientific Data Stored on BigQuery using KNIME
This workflow illustrates an example use case that can be relevant for life sciences research. It focuses on answering questions from the area of pharmaceutical research by linking different datasets storedin BigQuery and shows how scientific data can be explored interactively. Step 1: Type a diseaseStep 3: Selecta compound classStep 2: Selectone compoundStep 5: Explore resultsStep 4: Select another disease from the Word Cloud Joiner SelectCondition/Disease View CompoundClasses Extract Compounds& Tested Diseases View Compounds andClinical Studies Joiner View overlap of testedcompounds for two diseases Get Data FromBigQuery Get more data View othertested diseases Google BigQueryConnector This workflow illustrates an example use case that can be relevant for life sciences research. It focuses on answering questions from the area of pharmaceutical research by linking different datasets storedin BigQuery and shows how scientific data can be explored interactively. Step 1: Type a diseaseStep 3: Selecta compound classStep 2: Selectone compoundStep 5: Explore resultsStep 4: Select another disease from the Word Cloud Joiner SelectCondition/Disease View CompoundClasses Extract Compounds& Tested Diseases View Compounds andClinical Studies Joiner View overlap of testedcompounds for two diseases Get Data FromBigQuery Get more data View othertested diseases Google BigQueryConnector

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

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Created by: Martyna
Created at: 2019-05-17
On NodePit since: 2020-04-09
Last update: 2024-04-18
Created with KNIME version: v4.1.2
Tags: BigQuerySciWalkerclinical trialclinical studydisease

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