DNA-Seq 2: visualisation and quality assessment of variant calls

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.

Scientific topics: Sequencing

Authors: Paul Theodor Pyl

External resources:
DNA-Seq 2: visualisation and quality assessment of variant calls https://tess.elixir-europe.org/materials/dna-seq-2-visualisation-and-quality-assessment-of-variant-calls 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. Sequencing