This couse provides both a biological and technical introduction to Biological Big Data. It is divided into three, day-long sessions where participants learn about the available big data resources, what they mean, and how to use them. There are extensive practicals to give time for people to familiarise themselves with the sites they are shown.
Number of course hours : 24
Level: Beginners
Topics Covered:
Course Content:
- Day1: Central Dogma Data Resources - a refresher on the main biological concepts surround the central dogma, and an introduction to the data resources which allow you to access the current state of knowledge about your genes of interest
- Day2: Experimental Techniques, Datatypes and Resources. An introduction to the technologies and equipment which allows us to expermentally measure relevant data at scale. We cover both the generation of new data, but also the repositories of existing public data which can be re-used.
- Day3: Practical Computation for Bioinformatics. Finally we look at the practicalities of processing and analysing the data coming from high throughput experiments. We look at both hardware and software platforms and introduce the main techniques, languages and frameworks which are commonly used for large scale data analysis.