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KNIME: Practical introduction to KNIME Analytics platform and its application in bioinformatics

Description

This event introduces participants to the KNIME Analytics Platform, an open source data science platform with a visual workflow editor, that can be used by users without prior programming experience or integrated with existing scripts written in R or Python.

These sessions are aimed towards anyone who has an interest in building data science workflows with different kinds of life science data. The sessions will cover how to aggregate data from different sources (e.g., files, databases, web services), how to calculate simple statistics (e.g., for data exploration), network mining (e.g., protein-protein interactions) and big data analytics (e.g., next-generation sequencing data).

The webinar will combine practical and taught content to demonstrate how users can use KNIME to design and utilise reproducible data science workflows, such as analytics tasks, and better explore and understand their data.

 

Prerequisites

  • This hands-on event is suitable for anyone who has an interest in building data science workflows with different kinds of life science data.
  • Some prior knowledge of basic genetics and molecular biology is desirable.
  • This course is aimed at KNIME beginners. No programmatic skills required.

For additional information, follow this link.

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