Advanced NGS Course: RNA-seq data analysis
General Information
Registration for the 2012 edition has been closed. Please check the course overview to find out about the next course or use the pre-registration form to be on the waiting list for the next occasion (date to be determined).
Course Coordinators: Peter-Bram 't Hoen, Rutger Brouwer, Marcel Willemsen
Organiser: NBIC
For more information, please contact Patrick Koks.
Lecturers
Peter-Bram 't Hoen
Antoine van Kampen
Rutger Brouwer
a.o.
Locations
Amsterdam Medical Centre (AMC), Amsterdam,
Meibergdreef 9
PO Box 22700, 1100 DE Amsterdam
the Netherlands
Hogeschool van Amsterdam (HvA), Amsterdam
lying next to the AMC
Target audience
Participants for the RNA-seq course should preferably have participated in the general NGS course or otherwise have demonstrated hands-on experience with NGS data analysis. The course is aimed at PhD students and post-docs, but scientific programmers and data analysts with a background in biology and bioinformatics may also attend.
Course Description
NBIC and partners LUMC, AMC and EMC are organising a 3-day course on RNA-seq data analysis. This is an expert course for people with experience in NGS and a follow-up course on the general NBIC NGS data analysis course. The course consist of seminars and hands-on Galaxy and R practicals and focuses on data preprocessing, quality control, and statistical methods for detection of differential gene expression.
Course Programme
- RNA-seq experimental approaches
- Alignment and de novo assembly
- Statistics for differential gene expression
- QTL analysis and allele specific expression
- Software for RNA-seq data analysis
More information
The complete course programme and additional information will be made available here.
- RNA-seq_flyer_final_2012.pdf (93.22 kb)
Flyer RNA-seq 2012 (you're welcome to display this poster)
- RNAseq_final_program_121012.pdf (179.11 kb)
final programme 2012 edition (Oktober 12th)
- RNA-seq_course-info_travel_hotel.pdf (304.39 kb)
course-information, travel directions and hotels in Amsterdam
Lecture notes (slides) of the 2012 RNA-seq data analysis course in Nijmegen
Genomic Resequencing advanced NGS course lectures by NBIC are licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at NBIC.
Monday October 15th
- Day1_Hoen_NBIC_RNA-Seq_introduction_2012.pdf
slides Peter-Bram 't Hoen: Introduction RNA-seq techn. & sample preparation
- Day1_Simonis_Introduction_to_RNA-seq_analysis_2012.pdf
slides Marieke Simonis: introduction to RNA-seq analysis
- Day1_Hoen_NBIC_QC_2012.pdf
slides Peter-Bram 't Hoen: Quality Control
- Day1_VanKampen_RNA-seq-bias_2012.pdf
slides Antoine van Kampen: Biases in RNA-seq data
- Day1_Irina_RNAseq_alignment_2012.pdf
slides Irina Pulyakhina: Alignment tools for RNA-seq
- Day1_Laros_RNASeq_Galaxy_2012.pdf
slides Jeroen Laros: introduction to RNA-seq using Galaxy
- rnaseq_galaxy_handouts_2012.pdf
Practical data manipulation using Galaxy
Tuesday October 16th
- Day2_Goeman1_statistical_testing_2012.pdf
slides Jelle Goeman: Statsitical tests for differential expression
- Day2_Goeman2_testing_groups_2012.pdf
slides Jelle Goeman: Pathway testing in RNA-seq
- Day2_Philip_de_Groot_bioconductor_packages_2012.pdf
slides Philip de Groot: R/Bioconductor packages for RNA-seq
- Day2_Marks_Allele-specific_expression_public_part_2011.pdf
slides Hendrik Marks: Allele specific expression
- Day2_TilmanTodt_prokaryotesRNAseq.pdf
slides Tilman Todt: Analysis of RNA-seq in prokaryotes
- Day2_Bargsten_de_novo_rna-seq_assembly_2012.pdf
slides Joachim Bargsten: de novo Assembly in RNA-seq
- Instructions-HPC-Cloud-public.pdf
Login instructions for the practical (in cloud)
- R_reference_guide.pdf
short-short reference guide for the 'R' statistical language
- Practical_exon_and_gene_quantification_in_R.pdf
R Practical (morning) Exon & Gene Quantification & data Visualisation
- Practical_DiffExpr.pdf
R practical (afternoon) Differential Expression
Wednesday October 17th
- Day3_SzymonKielbasa_Detection_of_alternative_splicing_and_fusion_transcripts.pdf
slides Szymon M Kielbasa: Detection of alternative splicing and fusion transcripts


