How do you write a Bioconductor package?

But here are just a few tips for writing good Bioconductor packages.

  1. Write small functions.
  2. Don’t trust users to provide correct argument values.
  3. Write live examples for your manual pages and vignettes.
  4. Use toy data sets.

What can Bioconductor do?

Bioconductor provides access to powerful statistical and graphical methods for the analysis of genomic data. It also facilitates the integration of biological metadata like GenBank, GO, LocusLink and PubMed in the analysis of experimental data.

How do I find my Bioconductor version in R?

Remember, you can check the Bioconductor version using the function biocVersion() from the BiocInstaller package.

What is a Bioconductor package?

The Bioconductor project provides software for associating microarray and other genomic data in real time to biological metadata from web databases such as GenBank, LocusLink and PubMed (annotate package).

What is Bioconductor package in R?

Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, and an active user community. Bioconductor is also available as Docker images.

Where is Bioconductor located?

Roswell Park Comprehensive Cancer Center
The Bioconductor project started in 2001 and is overseen by a core team, based primarily at Roswell Park Comprehensive Cancer Center, and by other members coming from US and international institutions.

What is the meaning of Bioconductor?

Bioconductor is a free, open source and open development software project for the analysis and comprehension of genomic data generated by wet lab experiments in molecular biology. Bioconductor.

How install dplyr package in R?

You can install:

  1. the latest released version from CRAN with install.packages(“dplyr”)
  2. the latest development version from github with if (packageVersion(“devtools”) < 1.6) { install.packages(“devtools”) } devtools::install_github(“hadley/lazyeval”) devtools::install_github(“hadley/dplyr”)