Below is a list of tutorials on general computational biology issues for use by computational biologists and bench scienists in this time of added digital education activities. The are two lists;
- A list of tutorials presented at recent ISMB meetings
- A list of tutorials submitted by ISCB members.
To submit a tutorial to be added to the collection use the submission form.
|Tutorial Title||Suggested By|
|Description and Reason for Suggesting|
|Bioinformatics for Benched Biologists||Lior Pachter
|Bioinformatics for Benched Biologists II (R Edition)||Lior Pachter
|This workshop demonstrates an analysis of a single-cell RNA-seq dataset starting from the reads. It was designed for an online 1-2 hour Zoom workshop and uses an R notebook that runs on Google Colab.|
|GPU-Accelerated Single-Cell Analysis with RAPIDS||Avantika Lal
|This tutorial demonstrates how to accelerate single-cell RNA-seq analysis using GPUs (Graphics Processing Units). RAPIDS, a free and open-source software suite for GPU-accelerated data science, is used to perform preprocessing, clustering, visualization and differential expression analysis of single cells, 5-100x faster than on CPUs. A demonstration is provided in the form of a Jupyter notebook.
Single-cell RNA-seq is essential for Covid-19 research, e.g. identifying susceptible cells. Analysis requires speed and interactivity but tools are slow. This GPU pipeline performs scRNA-seq analysis 4-90 times faster than standard tools.