BioModels Database: Quick tour
BioModels Database: Quick tour from http://www.ebi.ac.uk/training/online/course/biomodels-database-quick-tour.
BioModels Database: Quick tour
http://www.ebi.ac.uk/training/online/course/biomodels-database-quick-tour
http://tess.elixir-uk.org/materials/biomodels-database-quick-tour
BioModels Database: Quick tour from http://www.ebi.ac.uk/training/online/course/biomodels-database-quick-tour.
Systems
2016-06-14
Biomedical data: Ethical, legal and social implications
Biomedical data: Ethical, legal and social implications from http://www.ebi.ac.uk/training/online/course/biomedical-data-ethical-legal-and-social-implicati.
Biomedical data: Ethical, legal and social implications
http://www.ebi.ac.uk/training/online/course/biomedical-data-ethical-legal-and-social-implicati
http://tess.elixir-uk.org/materials/biomedical-data-ethical-legal-and-social-implications
Biomedical data: Ethical, legal and social implications from http://www.ebi.ac.uk/training/online/course/biomedical-data-ethical-legal-and-social-implicati.
Cross domain
2016-06-14
Biomacromolecular structures: An introduction to EMBL-EBI resources
Biomacromolecular structures: An introduction to EMBL-EBI resources from http://www.ebi.ac.uk/training/online/course/biomacromolecular-structures-introduction-ebi-reso.
Biomacromolecular structures: An introduction to EMBL-EBI resources
http://www.ebi.ac.uk/training/online/course/biomacromolecular-structures-introduction-ebi-reso
http://tess.elixir-uk.org/materials/biomacromolecular-structures-an-introduction-to-embl-ebi-resources
Biomacromolecular structures: An introduction to EMBL-EBI resources from http://www.ebi.ac.uk/training/online/course/biomacromolecular-structures-introduction-ebi-reso.
Proteins
2016-06-14
Biocuration: An introduction
Biocuration: An introduction from http://www.ebi.ac.uk/training/online/course/biocuration-introduction.
Keywords: Proteins, Cross domain
Biocuration: An introduction
http://www.ebi.ac.uk/training/online/course/biocuration-introduction
http://tess.elixir-uk.org/materials/biocuration-an-introduction
Biocuration: An introduction from http://www.ebi.ac.uk/training/online/course/biocuration-introduction.
Proteins, Cross domain
2016-06-14
ArrayExpress: Quick tour
This quick tour provides an overview of EMBL-EBI’s functional genomics database ArrayExpress.
This course was updated in December 2015.
An undergraduate-level understanding of biology is an advantage. You may wish to have a look at our Functional genomics: An introduction to EMBL-EBI...
Scientific topics: Gene expression, Gene expression and microarray, Functional genomics
Keywords: Gene Expression
ArrayExpress: Quick tour
http://www.ebi.ac.uk/training/online/course/arrayexpress-quick-tour-1
http://tess.elixir-uk.org/materials/arrayexpress-quick-tour
This quick tour provides an overview of EMBL-EBI’s functional genomics database ArrayExpress.
This course was updated in December 2015.
An undergraduate-level understanding of biology is an advantage. You may wish to have a look at our Functional genomics: An introduction to EMBL-EBI resources before taking this course.
Melissa Burke
Gene expression
Gene expression and microarray
Functional genomics
Gene Expression
Beginners
2016-06-14
Variant-calling
No description available
Keywords: Alignment, Annotation, BAM, BCF, De-novo-transcriptome-assembly, Exploratory-analysis, FASTQ, Pre-processing, QC, Statistical-model, Variant-calling, VCF
Variant-calling
https://microasp.upsc.se/ngs_trainers/Materials/tree/master/Content/Variant-calling/README.md
http://tess.elixir-uk.org/materials/variant-calling
No description available
Alignment, Annotation, BAM, BCF, De-novo-transcriptome-assembly, Exploratory-analysis, FASTQ, Pre-processing, QC, Statistical-model, Variant-calling, VCF
Guide to R swirl interactive lessons
This handout describes how to download the swirl package and start the basic interactive lessons to learn R.
Guide to R swirl interactive lessons
https://microasp.upsc.se/ngs_trainers/Materials/tree/master/Content/Prerequisite/Jenny_Drnevich/R_swirl_guide.md
http://tess.elixir-uk.org/materials/guide-to-r-swirl-interactive-lessons
This handout describes how to download the swirl package and start the basic interactive lessons to learn R.
Jenny Drnevich @jenny
R-programming
Day 4 - RNA-Seq Analysis
Day 4 focuses on the final steps after production of significant gene lists, including gene clustering, visualization, and annotation.
Keywords: Exploratory-analysis, Differential-expression, Statistical-model, Annotation
Day 4 - RNA-Seq Analysis
https://microasp.upsc.se/ngs_trainers/Materials/tree/master/Content/RNA-Seq/Jenny_Drnevich/Day4.md
http://tess.elixir-uk.org/materials/day-4-rna-seq-analysis
Day 4 focuses on the final steps after production of significant gene lists, including gene clustering, visualization, and annotation.
Jenny Drnevich @jenny
Radhika Khetani @radhika
Jessica Kirkpatrick krkptrc2@illinois.edu
Exploratory-analysis, Differential-expression, Statistical-model, Annotation
Statistics and RNA-Seq
This lecture and optional practical introduce the relevant statistical concepts along with its computational counterparts used on a common RNA-Seq data analysis workflow.
Keywords: FASTQ, Alignment, BAM, Differential-expression, Statistical-model, Exploratory-analysis
Statistics and RNA-Seq
https://microasp.upsc.se/ngs_trainers/Materials/tree/master/Content/RNA-Seq/Benilton_Carvalho/StatsRNASeq.md
http://tess.elixir-uk.org/materials/statistics-and-rna-seq
This lecture and optional practical introduce the relevant statistical concepts along with its computational counterparts used on a common RNA-Seq data analysis workflow.
Benilton Carvalho @benilton
FASTQ, Alignment, BAM, Differential-expression, Statistical-model, Exploratory-analysis
Introduction to RNA-seq analysis 2014
This lecture gives an overview how to perform an RNA-seq experiment. A general RNA-seq workflow is outlined when a good quality genome sequence is available for your species.
Keywords: Alignment, Differential-expression, Feature-summarisation, Pre-processing, QC
Introduction to RNA-seq analysis 2014
https://microasp.upsc.se/ngs_trainers/Materials/tree/master/Content/RNA-Seq/Frederik_Coppens/2014_RNAseq_intro.md
http://tess.elixir-uk.org/materials/introduction-to-rna-seq-analysis-2014
This lecture gives an overview how to perform an RNA-seq experiment. A general RNA-seq workflow is outlined when a good quality genome sequence is available for your species.
Frederik Coppens @frcop
Alignment, Differential-expression, Feature-summarisation, Pre-processing, QC
Introduction to R practice codes
These codes give an overview of R object types and programming language structure.
Introduction to R practice codes
https://microasp.upsc.se/ngs_trainers/Materials/tree/master/Content/Prerequisite/Jenny_Drnevich/introR.md
http://tess.elixir-uk.org/materials/introduction-to-r-practice-codes
These codes give an overview of R object types and programming language structure.
Jenny Drnevich @jenny
R-programming
RNA-seq training PSB 2013
This lecture gives an overview how to perform an RNA-seq experiment. First, the Illumina sequencing platform is briefly covered, followed by the different file formats in NGS. Next, an RNA-seq workflow is outlined, starting from the raw data up to differential expression. The recommended coverage...
Keywords: Alignment, Differential-expression, Feature-summarisation, Pre-processing, QC
RNA-seq training PSB 2013
https://microasp.upsc.se/ngs_trainers/Materials/tree/master/Content/RNA-Seq/Frederik_Coppens/2013_RNAseq_training.md
http://tess.elixir-uk.org/materials/rna-seq-training-psb-2013
This lecture gives an overview how to perform an RNA-seq experiment. First, the Illumina sequencing platform is briefly covered, followed by the different file formats in NGS. Next, an RNA-seq workflow is outlined, starting from the raw data up to differential expression. The recommended coverage and sequencing mode is touched upon as well as the effect on your analysis of divergence of your genotype compared to the reference.
Frederik Coppens @frcop
Alignment, Differential-expression, Feature-summarisation, Pre-processing, QC
Material for the course RNA-seq data analysis with Chipster
This material covers the whole RNA-seq data analysis pipeline, from quality control of raw reads to differential expression analysis.
Scientific topics: RNA-Seq
Keywords: RNA-Seq, FASTQ, QC, Pre-processing, Alignment, BAM, Expression-estimation, Feature-summarisation, Differential-expression, Statistical-model, Exploratory-analysis
Material for the course RNA-seq data analysis with Chipster
https://microasp.upsc.se/ngs_trainers/Materials/tree/master/Content/RNA-Seq/Eija_Korpelainen/RNAseq_data_analysis_with_Chipster_2015.md
http://tess.elixir-uk.org/materials/material-for-the-course-rna-seq-data-analysis-with-chipster
This material covers the whole RNA-seq data analysis pipeline, from quality control of raw reads to differential expression analysis.
Eija Korpelainen @eija, ekorpelainen@gmail.com
RNA-Seq
RNA-Seq, FASTQ, QC, Pre-processing, Alignment, BAM, Expression-estimation, Feature-summarisation, Differential-expression, Statistical-model, Exploratory-analysis
RNA-seq module Bert Overduin
All material concerning RNA-seq analysis
Scientific topics: RNA-Seq
Keywords: RNA-Seq, Pre-processing, QC, Alignment
RNA-seq module Bert Overduin
https://microasp.upsc.se/ngs_trainers/Materials/tree/master/Content/RNA-Seq/Bert_Overduin/README.md
http://tess.elixir-uk.org/materials/rna-seq-module-bert-overduin
All material concerning RNA-seq analysis
Bert Overduin, @bert
RNA-Seq
RNA-Seq, Pre-processing, QC, Alignment
Nicolas Delhomme and Bastian Schiffthaler
This merely lists the various courses at which we taught RNA-Seq data
Scientific topics: RNA-Seq
Keywords: FASTQ, GFF3, BAM, Populus-tremula, RNA-Seq, Pre-processing, QC, Alignment, Annotation, Expression-estimation, Differential-expression, R-programming
Nicolas Delhomme and Bastian Schiffthaler
https://microasp.upsc.se/ngs_trainers/Materials/tree/master/Content/RNA-Seq/Nicolas_Delhomme/README.md
http://tess.elixir-uk.org/materials/nicolas-delhomme-and-bastian-schiffthaler
This merely lists the various courses at which we taught RNA-Seq data
@delhomme
@bastian
RNA-Seq
FASTQ, GFF3, BAM, Populus-tremula, RNA-Seq, Pre-processing, QC, Alignment, Annotation, Expression-estimation, Differential-expression, R-programming
Expression estimation
This introduces how to summarise short read alignments by the annotation of interest to obtain a count-table; i.e. the structure necessary to most downstream expression based analyses. Here, the focus is put on gene-expression, but the aspects of transcript-expression are briefly addressed.
Scientific topics: RNA-Seq
Keywords: GFF3, BAM, Populus-tremula, RNA-Seq, Expression-estimation
Expression estimation
https://microasp.upsc.se/ngs_trainers/Materials/tree/master/Content/RNA-Seq/Nicolas_Delhomme/EMBO-Oct-2014/05_EMBO-October-2014-Expression-estimation.md
http://tess.elixir-uk.org/materials/expression-estimation
This introduces how to summarise short read alignments by the annotation of interest to obtain a count-table; i.e. the structure necessary to most downstream expression based analyses. Here, the focus is put on gene-expression, but the aspects of transcript-expression are briefly addressed.
Nicolas Delhomme @delhomme
Bastian Schiffthaler @bastian
RNA-Seq
GFF3, BAM, Populus-tremula, RNA-Seq, Expression-estimation
Example “Variant Calling”
Example “Variant Calling”
https://microasp.upsc.se/ngs_trainers/Materials/tree/master/Content/Variant-calling/Chiara_Batini/README.md
http://tess.elixir-uk.org/materials/example-variant-calling
No description available
Mapping Quality Control
Perform QC on aligned data
Keywords: Alignment, BAM, QC
Mapping Quality Control
https://microasp.upsc.se/ngs_trainers/Materials/tree/master/Content/RNA-Seq/Bert_Overduin/Introduction-to-RNA-seq-data-analysis-2014/05_Mapping_quality_control.md
http://tess.elixir-uk.org/materials/mapping-quality-control
Perform QC on aligned data
Bert Overduin @bert
Alignment, BAM, QC
Day 3 - RNA-Seq Analysis
Day 3 focuses on statistical analysis of RNA-Seq data and identification of differentiall expressed genes in multiple comparisons.
Keywords: QC, Exploratory-analysis, Differential-expression, Statistical-model, Pre-processing
Day 3 - RNA-Seq Analysis
https://microasp.upsc.se/ngs_trainers/Materials/tree/master/Content/RNA-Seq/Jenny_Drnevich/Day3.md
http://tess.elixir-uk.org/materials/day-3-rna-seq-analysis
Day 3 focuses on statistical analysis of RNA-Seq data and identification of differentiall expressed genes in multiple comparisons.
Jenny Drnevich @jenny
Radhika Khetani @radhika
Jessica Kirkpatrick krkptrc2@illinois.edu
QC, Exploratory-analysis, Differential-expression, Statistical-model, Pre-processing
RNA-Seq
RNA-Seq is an high throughput sequencing method commonly used to assess gene expression.
RNA-Seq
https://microasp.upsc.se/ngs_trainers/Materials/tree/master/Content/RNA-Seq/README.md
http://tess.elixir-uk.org/materials/keywords
RNA-Seq is an high throughput sequencing method commonly used to assess gene expression.
ChIP-Seq
No description available
Keywords: ChIP-Seq, Experimental-design, QC, ChIP-Seq-QC, Data-format, Alignment, Peak-calling, Differential-binding, Annotation
ChIP-Seq
https://microasp.upsc.se/ngs_trainers/Materials/tree/master/Content/ChIP-Seq/README.md
http://tess.elixir-uk.org/materials/chip-seq
No description available
ChIP-Seq, Experimental-design, QC, ChIP-Seq-QC, Data-format, Alignment, Peak-calling, Differential-binding, Annotation
Tutorial
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.
Scientific topics: RNA-Seq
Keywords: FASTQ, GFF3, BAM, Populus-tremula, RNA-Seq, Pre-processing, QC, Alignment, Annotation, Expression-estimation, R-programming
Tutorial
https://microasp.upsc.se/ngs_trainers/Materials/tree/master/Content/RNA-Seq/Nicolas_Delhomme/EMBO-Oct-2014/00_EMBO-October-2014-Tutorial.md
http://tess.elixir-uk.org/materials/tutorial
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.
Nicolas Delhomme @delhomme
Bastian Schiffthaler @bastian
RNA-Seq
FASTQ, GFF3, BAM, Populus-tremula, RNA-Seq, Pre-processing, QC, Alignment, Annotation, Expression-estimation, R-programming
Prerequisite
No description available
Scientific topics: Statistics and probability
Keywords: Unix, Linux, R-programming, Statistics
Prerequisite
https://microasp.upsc.se/ngs_trainers/Materials/tree/master/Content/Prerequisite/README.md
http://tess.elixir-uk.org/materials/prerequisite
No description available
Statistics and probability
Unix, Linux, R-programming, Statistics
Preprocessing RNA-Seq data
Quality assessment and preprocessing of RNA-seq data. Description of FastQ format
Preprocessing RNA-Seq data
https://microasp.upsc.se/ngs_trainers/Materials/tree/master/Content/RNA-Seq/Bert_Overduin/Introduction-to-RNA-seq-data-analysis-2014/03_Quality_control_and_data_preprocessing.md
http://tess.elixir-uk.org/materials/preprocessing
Quality assessment and preprocessing of RNA-seq data. Description of FastQ format
Bert Overduin @bert
Pre-processing
RNA-Seq Analysis with Biocluster and R
Sequencing of RNA (RNA-Seq) is the latest method to assess global gene expression because it
Scientific topics: RNA-Seq
Keywords: RNA-Seq, Alignment, Annotation, BAM, Differential-expression, Exploratory-analysis, Expression-estimation, FASTA, FASTQ, Feature-summarisation, Pre-processing, QC, Statistical-model
RNA-Seq Analysis with Biocluster and R
https://microasp.upsc.se/ngs_trainers/Materials/tree/master/Content/RNA-Seq/Jenny_Drnevich/README.md
http://tess.elixir-uk.org/materials/rna-seq-analysis-with-biocluster-and-r
Sequencing of RNA (RNA-Seq) is the latest method to assess global gene expression because it
Jenny Drnevich @jenny
Radhika Khetani @radhika
Jessica Kirkpatrick krkptrc2@illinois.edu
RNA-Seq
RNA-Seq, Alignment, Annotation, BAM, Differential-expression, Exploratory-analysis, Expression-estimation, FASTA, FASTQ, Feature-summarisation, Pre-processing, QC, Statistical-model
Material provided by Charlotte Soneson
This folder contains material provided by Charlotte Soneson. The following material is included:
Scientific topics: RNA-Seq
Keywords: RNA-Seq, Differential-expression, Statistical-model, Exploratory-analysis
Material provided by Charlotte Soneson
https://microasp.upsc.se/ngs_trainers/Materials/tree/master/Content/RNA-Seq/Charlotte_Soneson/README.md
http://tess.elixir-uk.org/materials/material-provided-by-charlotte-soneson
This folder contains material provided by Charlotte Soneson. The following material is included:
Charlotte Soneson @charlotte, charlottesoneson@gmail.com
RNA-Seq
RNA-Seq, Differential-expression, Statistical-model, Exploratory-analysis
Differential expression analysis
This lecture covers the process from count matrix to statistical analysis results (differential expression). More specifically, it covers experimental design, normalization, statistical modeling and parameter estimation, multiple hypothesis testing and a more detailed look at some of the most...
Keywords: Differential-expression, Statistical-model
Differential expression analysis
https://microasp.upsc.se/ngs_trainers/Materials/tree/master/Content/RNA-Seq/Charlotte_Soneson/differential_expression_lecture_2015.md
http://tess.elixir-uk.org/materials/differential-expression-analysis
This lecture covers the process from count matrix to statistical analysis results (differential expression). More specifically, it covers experimental design, normalization, statistical modeling and parameter estimation, multiple hypothesis testing and a more detailed look at some of the most common differential expression methods as well as a comparison between them.
Charlotte Soneson @charlotte, charlottesoneson@gmail.com
Differential-expression, Statistical-model
RNA-seq module Eija Korpelainen
All material concerning RNA-seq data analysis with Chipster
Keywords: FASTQ, QC, Pre-processing, Alignment, BAM, Expression-estimation, Feature-summarisation, Differential-expression, Statistical-model, Exploratory-analysis
RNA-seq module Eija Korpelainen
https://microasp.upsc.se/ngs_trainers/Materials/tree/master/Content/RNA-Seq/Eija_Korpelainen/README.md
http://tess.elixir-uk.org/materials/rna-seq-module-eija-korpelainen
All material concerning RNA-seq data analysis with Chipster
Eija Korpelainen, @eija
FASTQ, QC, Pre-processing, Alignment, BAM, Expression-estimation, Feature-summarisation, Differential-expression, Statistical-model, Exploratory-analysis
Populus tremula shows no evidence of sexual dimorphism
**Background:** Although the majority of plant species are co-sexual, being either monoecious or hermaphroditic, a significant number are dioecious, having separate male and female individuals. Evolutionary theory suggests that males and females may develop sexually dimorphic phenotypic and...
Scientific topics: RNA-Seq
Keywords: FASTQ, GFF3, BAM, Populus-tremula, RNA-Seq, Pre-processing, QC, Alignment, Annotation, Expression-estimation, Differential-expression
Populus tremula shows no evidence of sexual dimorphism
https://microasp.upsc.se/ngs_trainers/Materials/tree/master/Datasets/Robinson-Delhomme-Populus-tremula-shows-no-evidence-of-sexual-dimorphism.md
http://tess.elixir-uk.org/materials/populus-tremula-shows-no-evidence-of-sexual-dimorphism
**Background:** Although the majority of plant species are co-sexual, being either monoecious or hermaphroditic, a significant number are dioecious, having separate male and female individuals. Evolutionary theory suggests that males and females may develop sexually dimorphic phenotypic and biochemical traits concordant with each sex having different optimal strategies of resource investment to maximise reproductive success and fitness. The establishment of such sexual dimorphism would result in changes in gene expression patterns in non-floral organs.
Nicolas Delhomme @delhomme
Robinson K.
Mähler N.
Bastian Schiffthaler @bastian
Oenskog J.
Albrectsen B.
Ingvarsson P. K.
Hvidsten T. R.
Jansson S.
Street N. R.
RNA-Seq
FASTQ, GFF3, BAM, Populus-tremula, RNA-Seq, Pre-processing, QC, Alignment, Annotation, Expression-estimation, Differential-expression
Nicolas Delhomme - Bastian Schiffthaler - October 2014 EMBO course material
Material for the course held on EBI Campus, Welcome Trust Center, Hinxton, UK on 20-26th, October 2014. The material cover general RNA-Seq data pre-processing as described in these [guidelines](http://www.epigenesys.eu/en/protocols/bio-informatics/1283-guidelines-for-rna-seq-data-analysis) and...
Scientific topics: RNA-Seq
Keywords: FASTQ, GFF3, BAM, Populus-tremula, RNA-Seq, Pre-processing, QC, Alignment, Annotation, Expression-estimation, Differential-expression, R-programming
Nicolas Delhomme - Bastian Schiffthaler - October 2014 EMBO course material
https://microasp.upsc.se/ngs_trainers/Materials/tree/master/Content/RNA-Seq/Nicolas_Delhomme/EMBO-Oct-2014.md
http://tess.elixir-uk.org/materials/nicolas-delhomme-bastian-schiffthaler-october-2014-embo-course-material
Material for the course held on EBI Campus, Welcome Trust Center, Hinxton, UK on 20-26th, October 2014. The material cover general RNA-Seq data pre-processing as described in these [guidelines](http://www.epigenesys.eu/en/protocols/bio-informatics/1283-guidelines-for-rna-seq-data-analysis) and reproduces the Differential Expression analysis conducted in Robinson, Delhomme et al., 2014.
Nicolas Delhomme @delhomme
Bastian Schiffthaler @bastian
RNA-Seq
FASTQ, GFF3, BAM, Populus-tremula, RNA-Seq, Pre-processing, QC, Alignment, Annotation, Expression-estimation, Differential-expression, R-programming