TSSi
Transcription Start Site Identification
Bioconductor version: 2.10
Identify and normalize transcription start sites in high-throughput sequencing data.
Author: Clemens Kreutz, Julian Gehring
Maintainer: Julian Gehring <julian.gehring at embl.de>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("TSSi")
To cite this package in a publication, start R and enter:
citation("TSSi")
Documentation
| R Script | Introduction to the TSSi package: Identification of Transcription Start Sites | |
| Reference Manual | ||
| Text | LICENSE |
Details
| biocViews | Genetics, HighThroughputSequencing, Preprocessing, RNAseq, Sequencing, Software |
| Depends | R (>= 2.13.2) |
| Imports | methods, Hmisc, minqa, stats, Biobase, plyr, IRanges |
| Suggests | rtracklayer |
| System Requirements | |
| License | GPL-3 |
| URL | http://julian-gehring.github.com/TSSi/ |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Version | 1.2.0 |
| Since | Bioconductor 2.9 (R-2.14) |
Package Downloads
| Package Source | TSSi_1.2.0.tar.gz |
| Windows Binary | TSSi_1.2.0.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) binary | TSSi_1.2.0.tgz |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Annotation
- Variants
- Flow Cytometry and other assays
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