See the foot of the page for general information such as pricing and how to book.
Details of the next Command Line & NGS course will be finalised in due course.
Many powerful bioinformatics applications do not come packaged with an easy-to-use graphical user interface. Since many people are unfamiliar and uncomfortable with the command-line interface that is necessary to get such applications to work, they are unable to unlock the full potential of the valuable data they are generating. The aim of this course is to enable scientists with no prior exposure to a command-line interface to get up and running with this kind of work, and provide them with the fundamentals to use any command-line application. We will start from the basics (not assuming any prior knowledge), and will move through popular bioinformatics tools such as BLAST. The second and third days of the course will focus on tools for the analysis of high-throughput (or “next generation”) sequencing data.
- Linux Basics
- What is Linux?
- What is it good for?
- An introduction to `ls`, `cp`, `man`, `grep`, and many other tools that we’ll build upon throughout the rest of the course
- Multiple Sequence Alignments
- Introduction to sequencing technologies
- Common file formats
- SAM & BAM
- Quality Control
- De novo High Throughput Sequence Assembly
- High Throughput Sequence Alignment (mapping to a reference genome)
- Tools for RNA-Seq Analysis
- Batch processing with High-Performance Computing
This is a five day intensive course on R and Bioconductor. The course will be a mixture of lectures and computer practicals. The final day provides participants an opportunity to analyse their own data.
No prior programming knowledge of any kind is assumed.
This course will be structured as follows:
- Day 1: Introduction to R
- Standard R data types
- Manipulating data
- Base graphics
- Day 2: Bioconductor input/output
- Object oriented programming in R
- What is Bioconductor?
- Installing packages
- Loading Affymetrix and Illumina data into R
- Day 3: Finding differentially expressed genes
- Data quality checks
- Microarray data analysis with Limma
- Day 4: Functional Analysis and Data Integration
- GO stats
- Day 5: RNA-Seq and Analysis of participants’ data
- Introduction to RNA-Seq
- Analysis with DESeq2 and Limma Voom
- Dr Colin Gillespie, Statistics Lecturer in the School of Mathematics & Statistics.
- Dr Simon Cockell, Newcastle Bioinformatics Support Unit
- John Casement, Newcastle Bioinformatics Support Unit
Spaces can be reserved for the High Throughput Sequence Analysis course by clicking on the links in the table below, spaces on all other courses and for external people can be reserved by emailing Simon Cockell. The Bioconductor course is booked via the school of Mathematics and Statistics. All courses are subject to a fee.
Costs for Newcastle University Faculty of Medical Sciences attendees are subsidised, except for the Bioconductor course (which is run in conjunction with the school of Mathematics and Statistics).
|Booking links (Cost)|
|Course||Length||Newcastle University - FMS||Newcastle University - Other||External - Academic/NHS/Charity||External - Commercial|
||3 days||Date tba||Date tba||Date tba||Date tba|
|Bioconductor||5 days||Date tba||Date tba||Date tba||Date tba|
Cancellations up to 14 days before the course start date will incur a 30 per cent cancellation fee. For later cancellations, or non attendance, the full course fee will be charged.