To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("BRAIN")
In most cases, you don't need to download the package archive at all.
BRAIN
Baffling Recursive Algorithm for Isotope distributioN calculations
Bioconductor version: 2.14
Package for calculating aggregated isotopic distribution and exact center-masses for chemical substances (in this version composed of C, H, N, O and S). This is an implementation of the BRAIN algorithm described in the paper by J. Claesen, P. Dittwald, T. Burzykowski and D. Valkenborg.
Author: Piotr Dittwald, with contributions of Dirk Valkenborg and Jurgen Claesen
Maintainer: Piotr Dittwald <piotr.dittwald at mimuw.edu.pl>
Citation (from within R,
enter citation("BRAIN")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("BRAIN")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("BRAIN")
| R Script | BRAIN Usage | |
| Reference Manual |
Details
| biocViews | MassSpectrometry, Proteomics, Software |
| Version | 1.10.1 |
| In Bioconductor since | BioC 2.10 (R-2.15) |
| License | GPL-2 |
| Depends | R (>= 2.8.1), PolynomF, Biostrings, lattice |
| Imports | |
| Suggests | |
| System Requirements | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | cleaver, RforProteomics |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | BRAIN_1.10.1.tar.gz |
| Windows Binary | BRAIN_1.10.1.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | BRAIN_1.10.1.tgz |
| Mac OS X 10.9 (Mavericks) | BRAIN_1.10.1.tgz |
| Browse/checkout source | (username/password: readonly) |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Counting Reads for Differential Expression (parathyroideSE vignette)
- Annotation
- Annotating Variants
- Annotating Ranges
- Flow Cytometry and other assays
- Candidate Binding Sites for Known Transcription Factors
- Cloud-enabled cis-eQTL search and annotation
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