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Single cell updates

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data.
Bioconductor uses the R statistical programming language, and is open source and open development.
It has two releases each year, 1560 software packages, and an active user community.
Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images.

After completing this course, you will be able to:

  • synthesise http://edamontology.org/operation_2990 using rnaseqcomp

Before attending this course, you should be able to:

  • produce http://edamontology.org/operation_0337 using Cytoscape.js

Resource type: Talk

Authors: Aaron Lun

External resources:
Single cell updates https://tess.oerc.ox.ac.uk/materials/single-cell-updates Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images.