TeSS (Training eSupport System)

Training materials

Keywords: Bioinformatics or NGS or Populations or introduction or jupyter-notebook

128 materials found

hands-on tutorial

Filter, plot and explore single-cell RNA-seq data with Scanpy (Python)

• beginner
10x Python Single Cell jupyter-notebook paper-replication
hands-on tutorial

Generating a single cell matrix using Alevin and combining datasets (bash + R)

• beginner
10x Single Cell jupyter-notebook paper-replication
hands-on tutorial

Filter, plot, and explore single cell RNA-seq data with Seurat (R)

• beginner
10x R Single Cell jupyter-notebook paper-replication rmarkdown-notebook
hands-on tutorial

Introduction to sequencing with Python (part two)

• beginner
Software engineering Foundations of Data Science jupyter-notebook
hands-on tutorial

Introduction to sequencing with Python (part three)

• beginner
Software engineering Foundations of Data Science jupyter-notebook
hands-on tutorial

Introduction to sequencing with Python (part one)

• beginner
Software engineering Foundations of Data Science jupyter-notebook
hands-on tutorial

Data visualisation Olympics - Visualization in R

• beginner
Software engineering Foundations of Data Science R cyoa jupyter-notebook rmarkdown-notebook
hands-on tutorial

Data manipulation with Pandas

• beginner
Software engineering Foundations of Data Science jupyter-notebook
hands-on tutorial

Introduction to sequencing with Python (part four)

• beginner
Software engineering Foundations of Data Science jupyter-notebook
hands-on tutorial

Data Manipulation Olympics - SQL

• beginner
Software engineering Foundations of Data Science cyoa jupyter-notebook sql

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Training materials

Filter, plot and explore single-cell RNA-seq data with Scanpy (Python)

Generating a single cell matrix using Alevin and combining datasets (bash + R)

Filter, plot, and explore single cell RNA-seq data with Seurat (R)

Introduction to sequencing with Python (part two)

Introduction to sequencing with Python (part three)

Introduction to sequencing with Python (part one)

Data visualisation Olympics - Visualization in R

Data manipulation with Pandas

Introduction to sequencing with Python (part four)

Data Manipulation Olympics - SQL