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# System prepended metadata

title: 'Resources, Tutorials and relevant information'

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# Resources, Tutorials and relevant information

## Computational

* Paulo's exercises
    * [Single cell course Exercises (Åsa and Paulo, 2021)](https://nbisweden.github.io/workshop-scRNAseq/exercises)
    * [Dimensionality reduction recorded lecture (Paulo, 2019)](https://www.youtube.com/watch?v=qcLJ_JO6bn8&list=PLjiXAZO27elC_xnk7gVNM85I2IQl5BEJN&index=6&t=138s)
    * [Trajectory inference analysis recorded lecture (Paulo, 2019)](https://www.youtube.com/watch?v=XmHDexCtjyw&list=PLjiXAZO27elC_xnk7gVNM85I2IQl5BEJN&index=10)
* BB2255 and CB2050 Exercises
    * Link: https://github.com/almaan/genetech
    * Description : Four exercises in R, starting with basic R skills, RNA-bulk sequencing, single cell RNA-seq analysis and Spatial Transcriptomics. Designed for the course masters courses BB2255 and CB2040
    * By : Alma, Ludvig and Sami
* Spatial Transcriptomics exercises for "Advanced topics in single-cell transcriptomics" 
    * Link : https://github.com/fmicompbio/adv_scrnaseq_2020/tree/master/spatial
    * Description : 3 sets of Python exercises for analyzing spatial transcriptomics data
    * By : Alma
* [Automatically curated single-cell / spatial omics repository](https://docs.google.com/spreadsheets/d/1En7-UV0k0laDiIfjFkdn7dggyR7jIk3WH8QgXaMOZF0/edit#gid=0)
* Awesome Single-cell
    * Link: https://github.com/seandavi/awesome-single-cell
    * Description: HUGE List of software packages for single-cell data analysis, including RNA-seq, ATAC-seq, etc.


## Experimental


## Misc.