Bioconductor version: 2.10
The procoil package allows to predict whether a coiled coil sequence (amino acid sequence plus heptad register) is more likely to form a dimer or more likely to form a trimer. The predict function not only computes the prediction itself, but also a profile which allows to determine the strengths to which the individual residues are indicative for either class. Profiles can also be plotted and exported to files.
Author: Ulrich Bodenhofer
Maintainer: Ulrich Bodenhofer <bodenhofer at bioinf.jku.at>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("procoil")
To cite this package in a publication, start R and enter:
citation("procoil")
R Script | PrOCoil - A Web Service and an R Package for Predicting the Oligomerization of Coiled-Coil Proteins | |
Reference Manual | ||
Text | NEWS |
biocViews | Classification, Proteomics, Software |
Depends | R (>= 2.10.1), methods |
Imports | methods, stats, graphics, utils |
Suggests | Biostrings |
System Requirements | |
License | GPL (>= 2) |
URL | http://www.bioinf.jku.at/software/procoil/ |
Depends On Me | |
Imports Me | |
Suggests Me | |
Version | 1.6.0 |
Since | Bioconductor 2.8 (R-2.13) |
Package Source | procoil_1.6.0.tar.gz |
Windows Binary | procoil_1.6.0.zip (32- & 64-bit) |
MacOS 10.5 (Leopard) binary | procoil_1.6.0.tgz |
Package Downloads Report | Download Stats |
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