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 / Pre-processing of Single-Cell RNA Data
- Transcriptomics / Trajectory Analysis using Python (Jupyter Notebook) in Galaxy
- Transcriptomics / Clustering 3K PBMCs with Scanpy
- Transcriptomics / Bulk RNA Deconvolution with MuSiC
- Transcriptomics / Analysis of plant scRNA-Seq Data with Scanpy
- Transcriptomics / Understanding Barcodes
- Transcriptomics / Pre-processing of 10X Single-Cell RNA Datasets
- Transcriptomics / Downstream Single-cell RNA analysis with RaceID
Slides
- Transcriptomics / Dealing with Cross-Contamination in Fixed Barcode Protocols
- Transcriptomics / Plates, Batches, and Barcodes
- Transcriptomics / An introduction to scRNA-seq data analysis
- Transcriptomics / Clustering 3K PBMCs with Scanpy
- Transcriptomics / Introducción al análisis de datos de scRNA-seq
- Transcriptomics / Una introducción al análisis de datos scRNA-seq
News
Mehmet Tekman
Beatriz Serrano-SolanoSingle 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.
Full Story