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3 materials found

Contributors: Mikko Rautiainen  or Eija Korpelainen @eija, eko... 


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) 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. 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) 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. 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 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