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biocLite("apComplex")
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apComplex
Estimate protein complex membership using AP-MS protein data
Bioconductor version: 3.0
Functions to estimate a bipartite graph of protein complex membership using AP-MS data.
Author: Denise Scholtens <dscholtens at northwestern.edu>
Maintainer: Denise Scholtens <dscholtens at northwestern.edu>
Citation (from within R,
enter citation("apComplex")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("apComplex")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("apComplex")
| R Script | apComplex | |
| Reference Manual |
Details
| biocViews | GraphAndNetwork, MassSpectrometry, NetworkInference, Software |
| Version | 2.32.0 |
| In Bioconductor since | BioC 1.6 (R-2.1) or earlier |
| License | LGPL |
| Depends | R (>= 2.10), graph, RBGL |
| Imports | Rgraphviz, stats, org.Sc.sgd.db |
| LinkingTo | |
| Suggests | |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | ScISI |
| Imports Me | |
| Suggests Me | BiocCaseStudies |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | apComplex_2.32.0.tar.gz |
| Windows Binary | apComplex_2.32.0.zip |
| Mac OS X 10.6 (Snow Leopard) | apComplex_2.32.0.tgz |
| Mac OS X 10.9 (Mavericks) | apComplex_2.32.0.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
- RNA-Seq workflow: gene-level exploratory analysis and differential expression
- Changing genomic coordinate systems with rtracklayer::liftOver
- Mass spectrometry and proteomics data analysis
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