CPANG19 - Computational PANGenomics (2019)
Training Material aimed in the exploration of modern bioinformatic tools that allow researchers to use pangenomes as their reference system when engaging in studies of organisms of all types.
Keywords: Genomics
Resource type: Documentation, Exercise, Handout, Scripts
CPANG19 - Computational PANGenomics (2019)
https://gtpb.github.io/CPANG19/
http://tess.elixir-uk.org/materials/cpang19-computational-pangenomics-2019
Training Material aimed in the exploration of modern bioinformatic tools that allow researchers to use pangenomes as their reference system when engaging in studies of organisms of all types.
The Gulbenkian Training Programme in Bioinformatics
Erik Garrison
Mikko Rautiainen
Genomics
Academia/ Research Institution
Industry
Non-Profit Organisation
Healthcare
CPANG18 - Computational PANGenomics (2018)
Training Material aimed in the exploration of modern bioinformatic tools that allow researchers to use pangenomes as their reference system when engaging in studies of organisms of all types.
Keywords: Genomics
Resource type: Documentation, Exercise, Handout, Scripts
CPANG18 - Computational PANGenomics (2018)
https://gtpb.github.io/CPANG18/
http://tess.elixir-uk.org/materials/cpang18-computational-pangenomics-2018
Training Material aimed in the exploration of modern bioinformatic tools that allow researchers to use pangenomes as their reference system when engaging in studies of organisms of all types.
The Gulbenkian Training Programme in Bioinformatics
Erik Garrison
Mikko Rautiainen
Jordan Eizenga
Genomics
Academia/ Research Institution
Industry
Non-Profit Organisation
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
