What is Bioconductor?
Bioconductor is a free, open source and open development software project for the analysis and comprehension of genomic data generated by lab experiments in molecular biology.
What is R statistical environment?
R Project for Statistical Computing or "R" is an open source language and environment for statistical computing and graphics.
R was created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand, and is now developed by the R Development Core Team. It is named partly after the first names of the first two R authors (Robert Gentleman and Ross Ihaka), and partly as a play on the name of S.
S is a statistical programming language developed primarily by Bell Laboratories.
R provides a wide variety of statistical (linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, and others) and graphical techniques. R, like S, is designed around a true computer language, and it allows users to add additional functionality by defining new functions.
The Bioconductor project, which started in the fall of 2001, provides R packages for the analysis of genomic data.
Bioconductor is a free, open source and open development software project for the analysis and comprehension of genomic data generated by lab experiments in molecular biology.
What is R statistical environment?
R Project for Statistical Computing or "R" is an open source language and environment for statistical computing and graphics.
R was created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand, and is now developed by the R Development Core Team. It is named partly after the first names of the first two R authors (Robert Gentleman and Ross Ihaka), and partly as a play on the name of S.
S is a statistical programming language developed primarily by Bell Laboratories.
R provides a wide variety of statistical (linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, and others) and graphical techniques. R, like S, is designed around a true computer language, and it allows users to add additional functionality by defining new functions.
The Bioconductor project, which started in the fall of 2001, provides R packages for the analysis of genomic data.