Tutorial
Tutorial
Keywords
FASTQ, GFF3, BAM, Populus-tremula, RNA-Seq, Pre-processing, QC, Alignment, Annotation, Expression-estimation, R-programming
Authors
- Nicolas Delhomme (@delhomme)
- Bastian Schiffthaler (@bastian)
Type
- Practical
| Top | Keywords | Authors | Type | Description | Aims | Prerequisites | Target audience | Learning objectives | Materials | Data | Timing | Content stability | Technical requirements | Literature references |
Description
This file describes the main tutorial PDF file. Almost all tutorials and hands-on practices are indeed collated in a single document. In addition to this PDF, R code excerpts and installation instructions are also provided.
Aims
Irrelevant here, see above
Prerequisites
- Irrelevant here, see above
Target audience
Irrelevant here, see above
Learning objectives
- Irrelevant here, see above
| Top | Keywords | Authors | Type | Description | Aims | Prerequisites | Target audience | Learning objectives | Materials | Data | Timing | Content stability | Technical requirements | Literature references |
Materials
- Tutorial PDF: Generated from the companion R package
- Code source from chapter 4: R code extracted from Chapter 4 to avoid too much typing from the trainees
- Code source from chapter 5: Same as above for chapter 5,
- Code source from chapter 6: chapter 6
- Code source from chapter 7: and chapter 7.
- Installation HTML document: A set of instructions for trainees to install the R package and its dependencies prior to the course on their own laptops.
- Installation R script: the R script which knitted output is the HTML file above
Data
- The data availability is described in the Dataset section
Timing
Irrelevant here, see above
Content stability
Stable. The data and analyses are public. The analysis has been conducted using the Populus trichocarpa sister species and might only get updated once the Populus tremula genome sequence and annotation are released, which may happen by the end of 2015.
Technical requirements
- Best is to use our Docker (a self contained environment) based on the Bioconductor NGS Docker that can be used to setup the course machines (physical or in the cloud)
- Otherwise:
- a UNIX OS
- FastQC
- SortMeRna (>= 1.9)
- Trimmomatic (>=0.32)
- STAR (>=2.4.0)
- R (>=3.1), Bioconductor(>=3.0)
Literature references
- Robinson, Delhomme et al.
- SortMeRna
- Trimmomatic
- STAR
- Bioconductor
| Top | Keywords | Authors | Type | Description | Aims | Prerequisites | Target audience | Learning objectives | Materials | Data | Timing | Content stability | Technical requirements | Literature references |
Keywords: FASTQ, GFF3, BAM, Populus-tremula, RNA-Seq, Pre-processing, QC, Alignment, Annotation, Expression-estimation, R-programming
Scientific topics: RNA-Seq
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