IMPORTANT DATES for TA-AFADM14
Deadline for applications: September 26th 2014
Notification of acceptance dates:
EARLY: Sept 19th 2014 (on special request, see Application)
NORMAL: September 26th 2014
Course date: October 6th - October 9th 2014
The Gulbenkian Training Programme in Bioinformatics is plesed to announce that the applications for the hands-on Bioinformatics training course
Transcriptome Assembly, Automatic Annotation and Data Mining
are now OPEN. Please have a look at our website here:
Course duration: 4 days
Course fee: Euro 320.00
We will have Stefan Goetz and Riccardo Alese Cigliano as instructors.
This course has already been run here several times with a great deal of success, as revealed by very positive feedback reports and subsequent recruitment by word of mouth by satisfied attendees.
This is a combined course in RNA-seq and functional annotation aimed at scientists working in next generation sequencing transcriptomics who want to extract the best possible information from their data. The course covers all aspects of RNA-seq analysis, from quality control, to mapping, reconstruction of transcripts and differential expression. Participants will learn how to deal with RNA-seq data both in the presence and absence of a reference genome.
The second part of the course is a practical workshop on Blast2GO, the most popular framework for functional annotation of sequence data. Participants will learn how to generate de novo functional labels, such as GO terms and KEGG pathways, for their sequence data and how to extract relevant information from these annotations, i.e. visualisation and enrichment analysis using the Gene Ontology. This part will be based on the use of the Blast2GO application and will mainly comprise exercises and practical cases. Participants may bring their own data.
Who should attend? Experimentalists and bioinformaticians working on EST, NextGeneration Sequencing and microarray design projects, specially (but not exclusively) of non-model species. No programming knowledge is required.