9 materials found
Keywords:
RNA-Seq
ADER19F - Analysis of Differential Expression with RNAseq (First course in 2019)
Training material for an introductory course that covers practical aspects of the analysis of differential gene expression by RNAseq.
Keywords: RNA-Seq, Genomics, RNA
Resource type: Documentation, Exercise, Handout, Scripts
ADER19F - Analysis of Differential Expression with RNAseq (First course in 2019)
https://gtpb.github.io/ADER19F/
http://tess.elixir-uk.org/materials/ader19f-analysis-of-differential-expression-with-rnaseq-first-course-in-2019
Training material for an introductory course that covers practical aspects of the analysis of differential gene expression by RNAseq.
The Gulbenkian Training Programme in Bioinformatics
Daniel Sobral
Daniel Faria
Daniel Neves
RNA-Seq, Genomics, RNA
Academia/ Research Institution
Industry
Non-Profit Organisation
Healthcare
ADER18S - Analysis of Differential Expression with RNAseq (Second course in 2018)
Training material for introductory course that covers practical aspects of the analysis of differential gene expression by RNAseq.
Keywords: RNA-Seq, Genomics, RNA
Resource type: Documentation, Exercise, Handout, Scripts
ADER18S - Analysis of Differential Expression with RNAseq (Second course in 2018)
https://gtpb.github.io/ADER18S/
http://tess.elixir-uk.org/materials/ader18s-analysis-of-differential-expression-with-rnaseq-second-course-in-2018
Training material for introductory course that covers practical aspects of the analysis of differential gene expression by RNAseq.
The Gulbenkian Training Programme in Bioinformatics
Daniel Sobral
Daniel Faria
Daniel Neves
RNA-Seq, Genomics, RNA
Academia/ Research Institution
Industry
Non-Profit Organisation
Healthcare
ADER18F - Analysis of Differential Expression with RNAseq (First course in 2018)
Training material for an introductory course that covers practical aspects of the analysis of differential gene expression by RNAseq.
Keywords: RNA-Seq, Genomics, RNA
Resource type: Documentation, Exercise, Handout, Scripts
ADER18F - Analysis of Differential Expression with RNAseq (First course in 2018)
https://gtpb.github.io/ADER18F/
http://tess.elixir-uk.org/materials/ader18f-analysis-of-differential-expression-with-rnaseq-first-course-in-2018
Training material for an introductory course that covers practical aspects of the analysis of differential gene expression by RNAseq.
The Gulbenkian Training Programme in Bioinformatics
Daniel Sobral
Daniel Faria
Daniel Neves
RNA-Seq, Genomics, RNA
Academia/ Research Institution
Industry
Non-Profit Organisation
Healthcare
Single cell RNA-seq data analysis with R
This international hands-on course covers several aspects of single cell RNA-seq data analysis, ranging from clustering and differential gene expression analysis to trajectories, cell type identification and spatial transcriptomics. The course is kindly sponsored by the ELIXIR EXCELERATE...
Scientific topics: RNA-Seq
Keywords: RNA-Seq, Single Cell technologies, scRNA-seq
Resource type: course materials
Single cell RNA-seq data analysis with R
https://www.csc.fi/web/training/-/scrnaseq
http://tess.elixir-uk.org/materials/single-cell-rna-seq-data-analysis-with-r-26ec3ec0-8f43-47db-9788-7f8f63eb447b
This international hands-on course covers several aspects of single cell RNA-seq data analysis, ranging from clustering and differential gene expression analysis to trajectories, cell type identification and spatial transcriptomics. The course is kindly sponsored by the ELIXIR EXCELERATE project.
Note: You can find all the course material including the R code and data files in the course [GitHub](https://github.com/NBISweden/excelerate-scRNAseq) repository, and the lecture videos are available as a [YouTube playlist](https://www.youtube.com/playlist?list=PLjiXAZO27elC_xnk7gVNM85I2IQl5BEJN).
Eija Korpelainen @eija, ekorpelainen@gmail.com
RNA-Seq
RNA-Seq, Single Cell technologies, scRNA-seq
bioinformaticians
Biologists
RNA-seq data analysis using Chipster
Materials from the ELIXIR tutorial “RNA-seq data analysis using Chipster”, Jan 31, 2017
Scientific topics: Transcriptomics, Genomics
Keywords: transcriptomics, RNA-Seq, eLearning, EeLP
Resource type: course materials, Training materials, Slides, Video
RNA-seq data analysis using Chipster
https://elixir.mf.uni-lj.si/course/view.php?id=9
http://tess.elixir-uk.org/materials/rna-seq-data-analysis-using-chipster
Materials from the ELIXIR tutorial “RNA-seq data analysis using Chipster”, Jan 31, 2017
Eija Korpelainen
Maria Lehtivaara
Eija Korpelainen
Maria Lehtivaara
Transcriptomics
Genomics
transcriptomics, RNA-Seq, eLearning, EeLP
Researchers
Single cell RNA-seq data analysis with R
This hands-on course introduces the participants to single cell RNA-seq data analysis concepts and popular tools and R packages. It covers the preprocessing steps from raw sequence reads to expression matrix as well as clustering, cell type identification, differential expression analysis and...
Scientific topics: RNA-Seq
Keywords: RNA-Seq, Single Cell technologies, scRNA-seq
Resource type: course materials
Single cell RNA-seq data analysis with R
https://www.csc.fi/en/web/training/-/single-cell-rnaseq-r-2018
http://tess.elixir-uk.org/materials/single-cell-rna-seq-data-analysis-with-r
This hands-on course introduces the participants to single cell RNA-seq data analysis concepts and popular tools and R packages. It covers the preprocessing steps from raw sequence reads to expression matrix as well as clustering, cell type identification, differential expression analysis and pseudotime analysis.
Heli Pessa
Bishwa Ghimire
Eija Korpelainen
RNA-Seq
RNA-Seq, Single Cell technologies, scRNA-seq
bioinformaticians
Biologists
Single cell RNA-seq data analysis with Chipster
This course introduces single cell RNA-seq data analysis methods, tools and file formats. It covers the preprocessing steps of DropSeq data from raw reads to a digital gene expression matrix (DGE), and how to find sub-populations of cells using clustering with the Seurat tools. You will also...
Scientific topics: RNA-Seq
Keywords: RNA-Seq, Single Cell technologies, scRNA-seq
Resource type: course materials, Video
Single cell RNA-seq data analysis with Chipster
https://chipster.csc.fi/manual/courses.html#single-cell
http://tess.elixir-uk.org/materials/single-cell-rna-seq-data-analysis-with-chipster-6cc8f0fb-1c92-444b-ab19-b04fe6454430
This course introduces single cell RNA-seq data analysis methods, tools and file formats. It covers the preprocessing steps of DropSeq data from raw reads to a digital gene expression matrix (DGE), and how to find sub-populations of cells using clustering with the Seurat tools. You will also learn how to compare two samples and detect conserved cluster markers and differentially expressed genes in them. The user-friendly Chipster software is used in the exercises, so no Unix or R experience is required and the course is thus suitable for everybody.
Eija Korpelainen
Maria Lehtivaara
Eija Korpelainen
RNA-Seq
RNA-Seq, Single Cell technologies, scRNA-seq
Biologists
bioinformaticians
LXDE RStudio with support for bioconductor tools
An LXDE Rstudio with pre-loaded Bioconductor tools for rna-seq DE analysis & visualisation
Keywords: RNA-Seq, IFR, Institute of Food Research, Quadram Institute
LXDE RStudio with support for bioconductor tools
https://hub.docker.com/r/foodresearch/ifr_rstudio_bioc/
http://tess.elixir-uk.org/materials/lxde-rstudio-with-support-for-bioconductor-tools
An LXDE Rstudio with pre-loaded Bioconductor tools for rna-seq DE analysis & visualisation
Mark Fernandes
RNA-Seq, IFR, Institute of Food Research, Quadram Institute
IFR Dockerised version of the EBI's Introduction to RNA-seq course
This is basically the EBI RNA-seq course bundled up in a Docker container using LXDE via TightVNC to provide a graphical environment. The material has been repackaged to use an Ipython Notebook as the learning environment which can be annotated by the learner.
Keywords: RNA-Seq, IFR, Institute of Food Research, Quadram Institute
IFR Dockerised version of the EBI's Introduction to RNA-seq course
https://hub.docker.com/r/foodresearch/ifr_rnaseq_course/
http://tess.elixir-uk.org/materials/ifr-dockerised-version-of-the-ebi-s-introduction-to-rna-seq-course
This is basically the EBI RNA-seq course bundled up in a Docker container using LXDE via TightVNC to provide a graphical environment. The material has been repackaged to use an Ipython Notebook as the learning environment which can be annotated by the learner.
Mark Fernandes
RNA-Seq, IFR, Institute of Food Research, Quadram Institute