Contributions
The following list includes only slides and tutorials where the individual has been added to the contributor list. This may not include the sum total of their contributions to the training materials (e.g. GTN css or design, tutorial datasets, workflow development, etc.) unless described by a news post.
GitHub Activity
Tutorials
- Transcriptomics / Inferring Trajectories using Python (Jupyter Notebook) in Galaxy ✍️
- Transcriptomics / Clustering 3K PBMCs with Scanpy
- Transcriptomics / Bulk RNA Deconvolution with MuSiC
- Transcriptomics / Understanding Barcodes
- Transcriptomics / Pre-processing of 10X Single-Cell RNA Datasets
- Transcriptomics / Analysis of plant scRNA-Seq Data with Scanpy
- Transcriptomics / Downstream Single-cell RNA analysis with RaceID
- Transcriptomics / Pre-processing of Single-Cell RNA Data
Slides
- Transcriptomics / Clustering 3K PBMCs with Scanpy
- Transcriptomics / An introduction to scRNA-seq data analysis
- Transcriptomics / Plates, Batches, and Barcodes
- Transcriptomics / Dealing with Cross-Contamination in Fixed Barcode Protocols
- Transcriptomics / Introducción al análisis de datos de scRNA-seq
- Transcriptomics / Una introducción al análisis de datos scRNA-seq
News
Authors:
Single cell RNA-seq analysis is a cornerstone of developmental research and provides a great level of detail in understanding the underlying dynamic processes within tissues. In the context of plants, this highlights some of the key differentiation pathways that root cells undergo.
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