Single Cell — Editorial Board Home

This is a new, experimental "Editorial Board Home" for a given topic. It is intended to provide a single place for maintainers and editorial board members to find out key information about their topic and identify action items.

Editorial Board

orcid logoFlorian Heyl avatar Florian Heylorcid logoMarisa Loach avatar Marisa Loachorcid logoWendi Bacon avatar Wendi BaconMehmet Tekman avatar Mehmet Tekmanorcid logoMorgan Howells avatar Morgan Howellsorcid logoPavankumar Videm avatar Pavankumar Videm

Action Items

Item Status Why you should do this
Summary Done ✅ Provide a sufficiently detailed summary of the topic to let learners know what they're learning about in this topic.
Sufficient Editorial Board Members Done ✅ (6 members) Having multiple people sharing the burden of being responsible for a specific topic can reduce board member burn-out in the long term.
Enable Subtopics Done ✅ Subtopics help organize the content and make it easier to navigate.
Annotate Funders Done ✅ (3 funders) By annotating the funders of your topic's materials, you make it easier to write your grant reports later
Learning Pathway CTA Pending ❌ By providing a Learning Pathway CTA, we can help guide learners to the best resources for learning about this topic.

Topic Materials

Material Contributions v2 Pre-requisites Follow up trainings Data on Zenodo Notebook Server Compatibility
An introduction to scRNA-seq data analysis ❌ ❌ ✅ ❌ ❌
Understanding Barcodes ❌ ❌ ❌ ✅ ❌
Plates, Batches, and Barcodes ❌ ❌ ❌ ❌ ❌
Single-cell Formats and Resources ❌ ✅ ❌ ✅ ❌
Trajectory analysis ❌ ✅ ❌ ✅ ❌
Automated Cell Annotation ❌ ✅ ❌ ✅ ❌
Pre-processing of 10X Single-Cell RNA Datasets ❌ ✅ ✅ ✅ ❌
Clustering 3K PBMCs with Scanpy ❌ ✅ ❌ ✅ ❌
Generating a single cell matrix using Alevin ✅ ✅ ✅ ✅ ❌
Combining single cell datasets after pre-processing ✅ ✅ ✅ ✅ ❌
Filter, plot and explore single-cell RNA-seq data with Scanpy ✅ ✅ ✅ ✅ ❌
Filter, plot, and explore single cell RNA-seq data with Seurat ✅ ✅ ❌ ✅ ❌
Inferring single cell trajectories with Scanpy ✅ ✅ ❌ ✅ ❌
Inferring single cell trajectories with Monocle3 ✅ ✅ ❌ ✅ ❌
Generating a single cell matrix using Alevin and combining datasets (bash + R) ✅ ✅ ✅ ✅ ✅
Filter, plot and explore single-cell RNA-seq data with Scanpy (Python) ✅ ✅ ✅ ✅ ✅
Filter, plot, and explore single cell RNA-seq data with Seurat (R) ✅ ✅ ❌ ✅ ✅
Inferring single cell trajectories with Scanpy (Python) ✅ ✅ ❌ ✅ ✅
Inferring single cell trajectories with Monocle3 (R) ✅ ✅ ❌ ✅ ✅
Pre-processing of Single-Cell RNA Data ❌ ✅ ✅ ✅ ❌
Downstream Single-cell RNA analysis with RaceID ✅ ✅ ✅ ✅ ❌
Analysis of plant scRNA-Seq Data with Scanpy ❌ ✅ ❌ ✅ ❌
Bulk RNA Deconvolution with MuSiC ❌ ✅ ✅ ✅ ❌
Comparing inferred cell compositions using MuSiC deconvolution ✅ ✅ ❌ ✅ ❌
Pre-processing of 10X Single-Cell ATAC-seq Datasets ❌ ✅ ✅ ✅ ❌
Single-cell ATAC-seq standard processing with SnapATAC2 ✅ ✅ ❌ ✅ ❌
Single-cell quality control with scater ❌ ✅ ✅ ✅ ❌
Removing the effects of the cell cycle ✅ ✅ ❌ ✅ ❌
Scanpy Parameter Iterator ✅ ✅ ❌ ✅ ❌
Converting between common single cell data formats ✅ ❌ ✅ ✅ ❌
Importing files from public atlases ✅ ✅ ✅ ✅ ❌
Converting NCBI Data to the AnnData Format ✅ ❌ ✅ ✅ ❌
Matrix Exchange Format to ESet | Creating a single-cell RNA-seq reference dataset for deconvolution ✅ ✅ ✅ ✅ ❌
Bulk matrix to ESet | Creating the bulk RNA-seq dataset for deconvolution ✅ ✅ ✅ ✅ ❌
GO Enrichment Analysis on Single-Cell RNA-Seq Data ✅ ✅ ❌ ✅ ❌

Topic Workflows

Material Workflow Updated Version Tests Reports Comments
Pre-processing of 10X Single-Cell RNA Datasets Preprocessing of 10X scRNA-seq data Dec 21, 2024 2 ✅ ✅ ❌
Clustering 3K PBMCs with Scanpy Clustering 3k PBMC with Scanpy Dec 21, 2024 2 ✅ ✅ ❌
Generating a single cell matrix using Alevin Generating a single cell matrix using Alevin Dec 21, 2024 2 ✅ ❌ ❌
Combining single cell datasets after pre-processing Combining datasets after pre-processing Dec 21, 2024 1 ✅ ❌ ❌
Filter, plot and explore single-cell RNA-seq data with Scanpy CS3_Filter, Plot and Explore Single-cell RNA-seq Data Dec 21, 2024 1 ✅ ✅ ❌
Filter, plot and explore single-cell RNA-seq data with Scanpy Filter, Plot and Explore Single-cell RNA-seq Data updated Dec 21, 2024 1 ✅ ❌ ❌
Filter, plot, and explore single cell RNA-seq data with Seurat Seurat Filter, Plot and Exlore tutorial Dec 21, 2024 1 ✅ ❌ ❌
Inferring single cell trajectories with Scanpy Inferring Trajectories with Scanpy Tutorial Workflow Dec 21, 2024 1 ✅ ❌ ❌
Inferring single cell trajectories with Monocle3 AnnData object to Monocle input files Dec 21, 2024 1 ❌ ❌ ❌
Inferring single cell trajectories with Monocle3 Monocle3 workflow Dec 21, 2024 1 ❌ ❌ ❌
Inferring single cell trajectories with Monocle3 Trajectory analysis using Monocle3 - full tutorial workflow Dec 21, 2024 1 ✅ ❌ ❌
Pre-processing of Single-Cell RNA Data CelSeq2: Multi Batch (mm10) Dec 21, 2024 1 ❌ ❌ ❌
Pre-processing of Single-Cell RNA Data CelSeq2: Single Batch (mm10) Dec 21, 2024 1 ❌ ❌ ❌
Downstream Single-cell RNA analysis with RaceID RaceID Workflow Dec 21, 2024 1 ✅ ✅ ❌
Analysis of plant scRNA-Seq Data with Scanpy scRNA Plant Analysis Dec 21, 2024 1 ❌ ❌ ❌
Analysis of plant scRNA-Seq Data with Scanpy scRNA Plant Analysis Dec 21, 2024 1 ✅ ✅ ❌
Bulk RNA Deconvolution with MuSiC MuSiC Workflow Dec 21, 2024 2 ❌ ❌ ❌
Comparing inferred cell compositions using MuSiC deconvolution MuSiC-Deconvolution: Compare Dec 21, 2024 1 ❌ ❌ ❌
Pre-processing of 10X Single-Cell ATAC-seq Datasets scATAC-seq Count Matrix Filtering Dec 21, 2024 1 ✅ ❌ ❌
Pre-processing of 10X Single-Cell ATAC-seq Datasets scATAC-seq FASTQ to Count Matrix Dec 21, 2024 1 ✅ ❌ ❌
Single-cell ATAC-seq standard processing with SnapATAC2 Workflow - Standard processing of 10X single cell ATAC-seq data with SnapATAC2 Dec 21, 2024 2 ✅ ✅ ✅
Single-cell quality control with scater Scater Dec 21, 2024 1 ❌ ❌ ❌
Removing the effects of the cell cycle Cell Cycle Regression Workflow Dec 21, 2024 1 ❌ ❌ ❌
Scanpy Parameter Iterator Scanpy Parameter Iterator workflow full (imported from URL) Dec 21, 2024 1 ✅ ❌ ❌
Converting between common single cell data formats AnnData to Cell Data Set (CDS) conversion Dec 21, 2024 1 ✅ ❌ ❌
Converting between common single cell data formats AnnData to Seurat conversion Dec 21, 2024 1 ✅ ❌ ❌
Converting between common single cell data formats AnnData to SingleCellExperiment (SCE) conversion Dec 21, 2024 1 ✅ ❌ ❌
Importing files from public atlases EBI SCXA to AnnData (Scanpy) or Seurat Object Dec 21, 2024 1 ✅ ❌ ❌
Converting NCBI Data to the AnnData Format NCBI to Anndata Dec 21, 2024 2 ✅ ✅ ✅
Matrix Exchange Format to ESet | Creating a single-cell RNA-seq reference dataset for deconvolution MuSiC-Deconvolution: Data generation | sc | matrix + ESet Dec 21, 2024 1 ❌ ❌ ❌
Matrix Exchange Format to ESet | Creating a single-cell RNA-seq reference dataset for deconvolution MuSiC-Deconvolution: Data generation | sc | metadata Dec 21, 2024 1 ❌ ❌ ❌
Bulk matrix to ESet | Creating the bulk RNA-seq dataset for deconvolution MuSiC-Deconvolution: Data generation | bulk | ESet Dec 21, 2024 1 ❌ ❌ ❌
GO Enrichment Analysis on Single-Cell RNA-Seq Data GO Enrichment Workflow Dec 21, 2024 1 ✅ ✅ ❌

Your topic's Workflow Testing Results

Coming Soon™

Learning Pathways using materials from this Topic

Image of cells in different coloured clusters
Applying single-cell RNA-seq analysis

Gone is the pre-annotated, high quality tutorial data - now you have real, messy data to deal with. You have decisions to make and parameters to decide. This learning pathway challenges you to replicate a published analysis as if this were your own dataset. You will be introduced to a few more tools available for scRNA-seq in Galaxy. Finally, if...

intermediate single-cell
Image of cells in different coloured clusters
Introduction to Galaxy and Single Cell RNA Sequence analysis

This learning path aims to teach you the basics of Galaxy and analysis of Single Cell RNA-seq data. You will learn how to use Galaxy for analysis, and an important Galaxy feature for iterative single cell analysis. You’ll tbe guided through the general theory of single analysis and then perform a basic analysis of 10X chromium data. For support throughout...

beginner single-cell
Image of cells in different coloured clusters
Applying single-cell RNA-seq analysis in Coding Environments

Gone is the pre-annotated, high quality tutorial data - now you have real, messy data to deal with. You have decisions to make and parameters to decide. This learning pathway challenges you to replicate a published analysis as if this were your own dataset. You will perform this analysis in coding environments hosted on Galaxy, instead of Galaxy’s button-based tool...

advanced single-cell
Statistics for your Learning Pathways
Stats powered by Plausible Analytics

Events using materials from this Topic

TODO once this is merged: https://github.com/galaxyproject/training-material/pull/4963

Statistics For Your Materials

Stats powered by Plausible Analytics