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 deconvolution
Converting between common single cell data formats
data management data import sc_formats
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
Clustering 3K PBMCs with Scanpy
10x
Combining single cell datasets after pre-processing
paper-replication MIGHTS
Comparing inferred cell compositions using MuSiC deconvolution
transcriptomics deconvolution
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 sc_formats
Removing the effects of the cell cycle
Drop-seq
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
single-cell
Understanding Barcodes
single-cell
Analysis of plant scRNA-Seq Data with Scanpy
plants paper-replication 10x
Clustering 3K PBMCs with Seurat
10x
Converting NCBI Data to the AnnData Format
data management data import sc_formats
Evaluating Reference Data for Bulk RNA Deconvolution
transcriptomics deconvolution
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
single-cell
Scanpy Parameter Iterator
single-cell
Batch Correction and Integration with Seurat or Scanpy
10x
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 deconvolution
Single-cell Formats and Resources
Bulk matrix to ESet | Creating the bulk RNA-seq dataset for deconvolution
transcriptomics data management deconvolution
Inferring single cell trajectories with Monocle3
paper-replication MIGHTS
Trajectory analysis
Automated Cell Annotation
GO Enrichment Analysis on Single-Cell RNA-Seq Data
single-cell GO enrichment
GO Enrichment Analysis on Single-Cell RNA-Seq Data
single-cell GO enrichment
Pseudobulk Analysis with Decoupler and EdgeR
transcriptomics pseudobulk
Spatial transcriptomics analysis of a primary dermal melanoma section from Xenium
single-cell spatial-transcriptomics xenium melanoma 10x
Spatial transcriptomics analysis of a primary dermal melanoma section from Xenium
single-cell spatial-transcriptomics xenium melanoma 10x

Contributors

This material was contributed to by:

orcid logoMohua Das avatar Mohua DasCarlos Chee Mendonça avatar Carlos Chee Mendonçaorcid logoKatarzyna Kamieniecka avatar Katarzyna Kamienieckaorcid logoKhaled Jum'ah avatar Khaled Jum'ahorcid logoBeatriz Serrano-Solano avatar Beatriz Serrano-SolanoGildas Le Corguillé avatar Gildas Le CorguilléDavid López avatar David Lópezorcid logoHans-Rudolf Hotz avatar Hans-Rudolf HotzCamila Goclowski avatar Camila Goclowskiorcid logoCristóbal Gallardo avatar Cristóbal Gallardoorcid logoAmirhossein Naghsh Nilchi avatar Amirhossein Naghsh Nilchiorcid logoMatthias Bernt avatar Matthias Berntorcid logoTeresa Müller avatar Teresa Müllerorcid logoMorgan Howells avatar Morgan Howellsorcid logoMartin Čech avatar Martin Čechorcid logoPavankumar Videm avatar Pavankumar Videmorcid logoKrzysztof Poterlowicz avatar Krzysztof Poterlowiczorcid logoTimon Schlegel avatar Timon SchlegelMehmet Tekman avatar Mehmet TekmanSimon Bray avatar Simon Brayorcid logoFlorian Heyl avatar Florian Heylorcid logoJulia Jakiela avatar Julia JakielaDonny Vrins avatar Donny Vrinsorcid logoNate Coraor avatar Nate Coraororcid logoWolfgang Maier avatar Wolfgang Maierorcid logoDaniel Blankenberg avatar Daniel Blankenbergorcid logoMyrthe van Baardwijk avatar Myrthe van BaardwijkJonathan Manning avatar Jonathan Manningorcid logoAnthony Bretaudeau avatar Anthony Bretaudeauorcid logoBjörn Grüning avatar Björn GrüningMenna Gamal avatar Menna Gamalorcid logoMarius van den Beek avatar Marius van den Beekorcid logoAlex Ostrovsky avatar Alex Ostrovskyorcid logoMarisa Loach avatar Marisa Loachorcid logoGraeme Tyson avatar Graeme Tysonorcid logoBérénice Batut avatar Bérénice Batutorcid logoStéphanie Robin avatar Stéphanie Robinorcid logoHelena Rasche avatar Helena Rascheorcid logoNicola Soranzo avatar Nicola Soranzoorcid logoDiana Chiang Jurado avatar Diana Chiang Juradoorcid logoAnika Erxleben avatar Anika Erxlebenorcid logoArmin Dadras avatar Armin DadrasPablo Moreno avatar Pablo Morenoorcid logoWendi Bacon avatar Wendi Baconorcid logoGraham Etherington avatar Graham Etheringtonorcid logoSaskia Hiltemann avatar Saskia Hiltemannorcid logoLucille Delisle avatar Lucille Delisle

Funding

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

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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
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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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BioFAIR
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de.NBI
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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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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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ELIXIR Europe
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UFR