Description Details Author(s) References Examples
The package includes functions to retrieve the sequences around the peak, obtain enriched Gene Ontology (GO) terms, find the nearest gene, exon, miRNA or custom features such as most conserved elements and other transcription factor binding sites leveraging biomaRt, IRanges, Biostrings, BSgenome, GO.db, hypergeometric test phyper and multtest package.
Package: | ChIPpeakAnno |
Type: | Package |
Version: | 3.0.0 |
Date: | 2014-10-24 |
License: | LGPL |
LazyLoad: | yes |
Lihua Julie Zhu, Jianhong Ou, Hervé Pagès, Claude Gazin, Nathan Lawson, Simon Lin, David Lapointe and Michael Green
Maintainer: Jianhong Ou <jianhong.ou@umassmed.edu>, Lihua Julie Zhu <julie.zhu@umassmed.edu>
1. Y. Benjamini and Y. Hochberg (1995). Controlling the false
discovery rate: a practical and powerful approach to multiple testing. J. R.
Statist. Soc. B. Vol. 57: 289-300.
2. Y. Benjamini and D. Yekutieli
(2001). The control of the false discovery rate in multiple hypothesis
testing under dependency. Annals of Statistics. Accepted.
3. S. Durinck
et al. (2005) BioMart and Bioconductor: a powerful link between biological
biomarts and microarray data analysis. Bioinformatics, 21, 3439-3440.
4.
S. Dudoit, J. P. Shaffer, and J. C. Boldrick (Submitted). Multiple
hypothesis testing in microarray experiments.
5. Y. Ge, S. Dudoit, and
T. P. Speed. Resampling-based multiple testing for microarray data
hypothesis, Technical Report #633 of UCB Stat.
http://www.stat.berkeley.edu/~gyc
6. Y. Hochberg (1988). A sharper
Bonferroni procedure for multiple tests of significance, Biometrika. Vol.
75: 800-802.
7. S. Holm (1979). A simple sequentially rejective multiple
test procedure. Scand. J. Statist.. Vol. 6: 65-70.
8. N. L. Johnson,S.
Kotz and A. W. Kemp (1992) Univariate Discrete Distributions, Second
Edition. New York: Wiley
9. Zhu L.J. et al. (2010) ChIPpeakAnno: a
Bioconductor package to annotate ChIP-seq and ChIP-chip data. BMC
Bioinformatics 2010, 11:237doi:10.1186/1471-2105-11-237.
1 2 3 4 5 6 7 8 | if(interactive()){
data(myPeakList)
library(ensembldb)
library(EnsDb.Hsapiens.v75)
anno <- annoGR(EnsDb.Hsapiens.v75)
annotatedPeak <-
annotatePeakInBatch(myPeakList[1:6], AnnotationData=anno)
}
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.