The following Bioinformatics Training events, taking place at the University of Cambridge, are currently open for booking. Although some of them are already fully booked, we encourage registering as you will be added to the waiting list and notified when a place becomes available.
  • Please note that these courses are only free for University of Cambridge students.All other participants will be charged a registration fee in some form.
  • It is the participant’s responsibility to acquire approval from their line manager/supervisor to attend any of these courses.
  • Please review full charging policy at the end of this email. 



2-3 May
Focuses on methods for the analysis of small non-coding RNA data obtained from high-throughput sequencing (HTS) applications (small RNA-seq). During the course, approaches to the investigation of all classes of small non-coding RNAs will be presented, in all organisms.
 
2 May
The Ensembl Project provides a comprehensive and integrated source of annotation of, mainly vertebrate, genome sequences. This workshop offers a comprehensive practical introduction to the use of the Ensembl genome browser as well as essential background information.
 
4-5 May
Provides an introduction to the tools available through the Bioconductor project for manipulating and analysing bulk RNA-seq data.


15-16 May
This course aims to give you an introduction to the basics of Matlab. During the two day course we will use a practical based approach to give you the confidence to start using Matlab in your own work.
 
15-16 May
Provides an introduction to the R programming language and software environment for statistical computing and graphics. A variety of examples with a biological theme will be presented.
 
17 May
Guides novice users through the process of analysing interaction networks – that allow biologists to map and characterise signalling pathways and to predict the function of unknown proteins.
 
18-19 May
Provides an introduction to the analysis of human genome sequence variation with next generation sequencing data (NGS). 


25-26 May
This workshop is aimed at researchers and developers interested in exploring Ensembl beyond the website. The workshop covers using the REST API to query the core, variation, compara and functional genomics (regulation) databases.


12-13 June
Provides a practical introduction to the writing of Python programs for the complete novice. Participants are lead through the core aspects of Python illustrated by a series of example programs.
 
14 June
Covers all aspects of the analysis of DNA methylation using sequencing, including primary analysis, mapping and quality control of BS-Seq data, common pitfalls and complications.
 
15-16 June
Provides an introduction to the R programming language and software environment for statistical computing and graphics. A variety of examples with a biological theme will be presented.

19-20 June
Provides an overview of metabolomics and its applications in life sciences, clinical and environmental settings.


21 June
This course will cover concepts and strategies for working more effectively with Python with the aim of writing reusable code.


22-23 June
Familiarizes the participants with the primary analysis of datasets generated through two popular high-throughput sequencing (HTS) assays: ChIP-seq and RNA-seq.
 
26-28 June
Focuses on computational methods for analysing cellular images and extracting quantitative data from them. The aim of this course is to familiarise the participants with computational image analysis methodologies, and to provide hands-on training in running quantitative analysis pipelines.
 
10-11 July
Covers data resources and analytical approaches for the discovery and interpretation of bio-macromolecular structures.


12-14 July
Focuses on the core steps involved in calling variants with the Broad’s Genome Analysis Toolkit, using the “Best Practices” developed by the GATK team. You will learn why each step is essential to the variant discovery process, what are the operations performed on the data at each step, and how to use the GATK tools to get the most accurate and reliable results out of your dataset.
 
All scheduled courses can be found at: http://training.csx.cam.ac.uk/bioinformatics/Event-timetable

Registration charges:
  • Free for University of Cambridge students.
  • £ 50/day for all University of Cambridge staff, including postdocs, and participants from Affiliated Institutions. Please note that these charges are recovered by us at the Institutional level.
  • It remains the participant's responsibility to acquire prior approval from the relevant group leader, line manager or budget holder to attend the course. It is requested that people booking only do so with the agreement of the relevant party as costs will be charged back to your Lab Head or Group Supervisor.
  • £ 50/day for all other academic participants from External Institutions and Charitable Organizations. These charges must be paid at registration.
  • £ 100/day for all Industry participants. These charges must be paid at registration.

Full details of our charging policy can be found at:http://training.csx.cam.ac.uk/bioinformatics/info/charging

Please note that it is the participant’s responsibility to acquire approval from their line manager/supervisor to attend any of these courses.
Category: 
Where: 
Downing Street, University of Cambridge
Cambridge
CB2 3EH
United Kingdom