Icon

05. Database

Database

"Database" exercise for basic Life Science User Training
- Writing data into a database
- Reading data from a database
- Filtering data in a database
- Joining data in a database
- Reading data in a database into a KNIME table






Activity: Databases- Drag & drop the malariahts_DB.sqlite file into your workspace- Connect malariahts_DB.sqlite to the two DB Table Selector nodes to read the "malariahts_experiment" and"malariahts_molecules_feature" table, respectively- Filter the Column called "Pf3D7_pEC50" in the "malariahts_experiment" table with the Database Column Filter node- Join the two tables together with the DB Joiner node using "Sample" column- Read the data into KNIME using the DB Reader node.- Write the data into a csv file Node 1malariahts_experiementNode 3Node 5Node 6Node 7Node 8 SQLite Connector DB Table Selector DB Table Selector DB Column Filter DB Joiner DB Reader CSV Writer Activity: Databases- Drag & drop the malariahts_DB.sqlite file into your workspace- Connect malariahts_DB.sqlite to the two DB Table Selector nodes to read the "malariahts_experiment" and"malariahts_molecules_feature" table, respectively- Filter the Column called "Pf3D7_pEC50" in the "malariahts_experiment" table with the Database Column Filter node- Join the two tables together with the DB Joiner node using "Sample" column- Read the data into KNIME using the DB Reader node.- Write the data into a csv file Node 1malariahts_experiementNode 3Node 5Node 6Node 7Node 8 SQLite Connector DB Table Selector DB Table Selector DB Column Filter DB Joiner DB Reader CSV Writer

Nodes

Extensions

Links

Download

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

Download Workflow
Created by: knime
Created at: 2014-06-17
On NodePit since: 2022-05-05
Last update: 2024-11-18
Created with KNIME version: v4.5.2
Tags: databasedatabase preprocessingeducationsqllife science

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.

Try NodePit Runner!