Bioinformatics: Introductory Statistics and Experimental Design for Genomics New
”To consult the statistician after an experiment is finished is often merely to ask him to conduct a post mortem examination. He can perhaps say what the experiment died of.” - R.A. Fisher
Modern genomics technologies are able to deliver an unprecedented amount of data rapidly. However, without due care and attention early in the experimental process, such data are meaningless if they cannot adequately answer the intended research question. This course is aimed at those planning high-throughput genomics experiments and highlights the kinds of questions they should be asking themselves. We we also review key statistical concepts that underpin the design process and are referred to throughout further Bioinformatics training courses.
Timetable
- 12:30 - 13:30 - Introductory Statistics (Lecture) - Mark Dunning
- 13:30 - 14:15 - Exploratory data analysis (Discussion) - Mark Dunning
- 14:30 - 15:30 - Experimental Design (Lecture) - Roslin Russell
- 15:30 - 17:00 - Experimental Design (Discussion) Roslin Russell, Mark Dunning
Please note that if you are not eligible for a University of Cambridge Raven account you will need to book by linking here.
- Our courses are open to all who might benefit
- Booking priority is given to people from Cambridge University and Collaborating Institutes
Number of sessions: 1
| # | Date | Time | Venue | Trainers | |
|---|---|---|---|---|---|
| 1 | Tue 2 Sep 2014 12:30 - 17:00 | 12:30 - 17:00 | Bioinformatics Training Room, Craik-Marshall Building | map | Roslin Russell, Mark Dunning |
- Review basic concepts in statistics and hypothesis testing
- Highlight the key experimental design issues that researchers should address whilst planning their experiment
- To enable researchers to interpret statistics and graphs that are commonly-used in Genomics publications
Presentations and practicals
1
A number of times per year
- Bioinformatics: Analysis of High-throughput sequencing data with Bioconductor
- Bioinformatics: Microarray Analysis with Bioconductor
- Bioinformatics: Next Generation Sequencing data analysis
- Bioinformatics: Analysing mapped NGS data with SeqMonk
- Bioinformatics: Whole Exome Sequencing and RNA-sequence data analysis
Booking / availability