single-cell

Tutorials covering single-cell

Material

You can view the tutorial materials in different languages by clicking the dropdown icon next to the slides () and tutorial () buttons below.

Single Cell

Lesson Slides Hands-on Recordings Input dataset Workflows
An introduction to scRNA-seq data analysis
Bulk RNA Deconvolution with MuSiC
transcriptomics
Converting between common single cell data formats
data management data import
GO Enrichment Analysis on Single-Cell RNA-Seq Data
single cell GO enrichment
Generating a single cell matrix using Alevin
paper-replication MIGHTS
Generating a single cell matrix using Alevin and combining datasets (bash + R)
10x paper-replication MIGHTS jupyter-notebook
Pre-processing of 10X Single-Cell ATAC-seq Datasets
10x epigenetics
Pre-processing of 10X Single-Cell RNA Datasets
10x
Pseudobulk Analysis with Decoupler and EdgeR
transcriptomics pseudobulk
Clustering 3K PBMCs with Scanpy
10x
Combining single cell datasets after pre-processing
paper-replication MIGHTS
Comparing inferred cell compositions using MuSiC deconvolution
transcriptomics
Filter, plot and explore single-cell RNA-seq data with Scanpy (Python)
paper-replication MIGHTS jupyter-notebook
Filter, plot, and explore single cell RNA-seq data with Seurat (R)
paper-replication MIGHTS rmarkdown-notebook jupyter-notebook
Importing files from public atlases
data import data management
Removing the effects of the cell cycle
Single-cell ATAC-seq standard processing with SnapATAC2
10x epigenetics single-cell
Single-cell ATAC-seq standard processing with SnapATAC2
10x epigenetics single-cell
Understanding Barcodes
Analysis of plant scRNA-Seq Data with Scanpy
plants paper-replication
Clustering 3K PBMCs with Seurat
10x
Converting NCBI Data to the AnnData Format
data management data import
Evaluating Reference Data for Bulk RNA Deconvolution
transcriptomics
Filter, plot and explore single-cell RNA-seq data with Scanpy
paper-replication MIGHTS
Filter, plot, and explore single cell RNA-seq data with Seurat
paper-replication MIGHTS
Inferring single cell trajectories with Scanpy (Python)
paper-replication MIGHTS jupyter-notebook
Multi-sample batch correction with Harmony and SnapATAC2
10x epigenetics
Plates, Batches, and Barcodes
Scanpy Parameter Iterator
Inferring single cell trajectories with Monocle3 (R)
paper-replication MIGHTS rmarkdown-notebook jupyter-notebook
Inferring single cell trajectories with Scanpy
paper-replication MIGHTS
Matrix Exchange Format to ESet | Creating a single-cell RNA-seq reference dataset for deconvolution
data management
Single-cell Formats and Resources
Bulk matrix to ESet | Creating the bulk RNA-seq dataset for deconvolution
transcriptomics data management
Inferring single cell trajectories with Monocle3
paper-replication MIGHTS
Trajectory analysis
Automated Cell Annotation

Contributors

This material was contributed to by:

orcid logoKatarzyna Kamieniecka avatar Katarzyna Kamienieckaorcid logoMarisa Loach avatar Marisa Loachorcid logoAmirhossein Naghsh Nilchi avatar Amirhossein Naghsh Nilchiorcid logoHelena Rasche avatar Helena Rascheorcid logoWendi Bacon avatar Wendi Baconorcid logoAlex Ostrovsky avatar Alex Ostrovskyorcid logoAnthony Bretaudeau avatar Anthony Bretaudeauorcid logoBeatriz Serrano-Solano avatar Beatriz Serrano-Solanoorcid logoMartin Čech avatar Martin Čechorcid logoTeresa Müller avatar Teresa MüllerJonathan Manning avatar Jonathan Manningorcid logoSaskia Hiltemann avatar Saskia HiltemannDonny Vrins avatar Donny Vrinsorcid logoGraham Etherington avatar Graham Etheringtonorcid logoGraeme Tyson avatar Graeme TysonGildas Le Corguillé avatar Gildas Le Corguilléorcid logoCristóbal Gallardo avatar Cristóbal GallardoPablo Moreno avatar Pablo MorenoCamila Goclowski avatar Camila Goclowskiorcid logoHans-Rudolf Hotz avatar Hans-Rudolf Hotzorcid logoMohua Das avatar Mohua Dasorcid logoPavankumar Videm avatar Pavankumar VidemMatthias Bernt avatar Matthias Berntorcid logoNate Coraor avatar Nate CoraorDavid López avatar David Lópezorcid logoFlorian Heyl avatar Florian Heylorcid logoMorgan Howells avatar Morgan Howellsorcid logoLucille Delisle avatar Lucille Delisleorcid logoTimon Schlegel avatar Timon SchlegelMenna Gamal avatar Menna Gamalorcid logoBjörn Grüning avatar Björn Grüningorcid logoAnika Erxleben avatar Anika Erxlebenorcid logoBérénice Batut avatar Bérénice BatutSimon Bray avatar Simon BrayMehmet Tekman avatar Mehmet Tekmanorcid logoJulia Jakiela avatar Julia Jakielaorcid logoStéphanie Robin avatar Stéphanie Robinorcid logoDaniel Blankenberg avatar Daniel Blankenbergorcid logoNicola Soranzo avatar Nicola Soranzoorcid logoWolfgang Maier avatar Wolfgang MaierCarlos Chee Mendonça avatar Carlos Chee MendonçaMarius van den Beek avatar Marius van den Beekorcid logoDiana Chiang Jurado avatar Diana Chiang Juradoorcid logoArmin Dadras avatar Armin Dadras

Funding

These individuals or organisations provided funding support for the development of this resource

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EuroScienceGateway
EuroScienceGateway was funded by the European Union programme Horizon Europe (HORIZON-INFRA-2021-EOSC-01-04) under grant agreement number 101057388 and by UK Research and Innovation (UKRI) under the UK government’s Horizon Europe funding guarantee grant number 10038963.
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ELIXIR Europe
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de.NBI
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UFR
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DASH UK
This Fellowship was funded through the ELIXIR-UK DaSH project as part of the UKRI Innovation Scholars: Data Science Training in Health and Bioscience call (DaSH). (MR/V038966/1). The project aims to embed Research Data Management (RDM) know-how into UK universities and institutes by producing and delivering training in FAIR data stewardship using ELIXIR-UK knowledge and resources.
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EOSC-Life
EOSC-Life has received funding from the European Union’s Horizon 2020 programme under grant agreement number 824087
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de.KCD
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EPSRC/OU
The research internship was supported through EPSRC Training Grant DTP 2020-2021 Open University