KNIME: Practical introduction to KNIME Analytics platform and its application in bioinformatics (Webinar)
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.
Please note that if you are not eligible for a University of Cambridge Raven account you will need to book or register your interest by linking here.
- This hands-on event is suitable for anyone who has an interest in building data science workflows with different kinds of life science data.
- Graduate students, Postdocs and Staff members from the University of Cambridge, Affiliated Institutions and other external Institutions or individuals
- There is no fee charged for this event
- Further details regarding eligibility criteria are available here
- Some prior knowledge of basic genetics and molecular biology is desirable.
- This course is aimed at KNIME beginners. No programmatic skills required.
Number of sessions: 2
| # | Date | Time | Venue | Trainers |
|---|---|---|---|---|
| 1 | Wed 29 Jul 2020 14:00 - 16:00 | 14:00 - 16:00 | Bioinformatics Training Facility - Webinar (Time Zone = BST in Summer, GMT in Winter) | Jeanette Prinz, Temesgen H. Dadi |
| 2 | Thu 30 Jul 2020 14:00 - 16:00 | 14:00 - 16:00 | Bioinformatics Training Facility - Webinar (Time Zone = BST in Summer, GMT in Winter) | Jeanette Prinz, Temesgen H. Dadi |
Bioinformatics, Data handling, Data visualisation
After this course you should be able to:
- Create your own data analytics workflow
- Know how to search for most commonly used operators (Nodes)
- Know how to find help and further training material
- Find reusable workflows shared by the KNIME community
During this course you will learn about:
- KNIME Analytics platform and its applications to life science data
Presentations, demonstrations and practical
| Day 1 | Topics |
| Session 1 | Introduction |
| Session 2 | Importing Data and Data Manipulation |
| Session 3 | Interactive Visualizations |
| Session 4 | Network Mining |
| Optional | Do you need help with the exercise? The trainers will be available online for dedicated assistance for an extra 30 minutes |
| Day 2 | Topics |
| Session 1 | Databases |
| Session 2 | Intergrating External Tools |
| Session 3 | Community Extensions |
| Session 4 | NGS Data Analysis |
| Session 5 | Use Cases |
| Optional | Do you need help with the exercise? The trainers will be available online for dedicated assistance for an extra 30 minutes |
2 Hours per session
Booking / availability