Bioconductor version: Release (3.6)
hiReadsProcessor contains set of functions which allow users to process LM-PCR products sequenced using any platform. Given an excel/txt file containing parameters for demultiplexing and sample metadata, the functions automate trimming of adaptors and identification of the genomic product. Genomic products are further processed for QC and abundance quantification.
Author: Nirav V Malani <malnirav at gmail.com>
Maintainer: Nirav V Malani <malnirav at gmail.com>
Citation (from within R,
enter citation("hiReadsProcessor")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("hiReadsProcessor")
HTML | R Script | Using hiReadsProcessor |
Reference Manual | ||
Text | NEWS |
biocViews | Preprocessing, Sequencing, Software |
Version | 1.14.0 |
In Bioconductor since | BioC 3.0 (R-3.1) (3.5 years) |
License | GPL-3 |
Depends | Biostrings, GenomicAlignments, BiocParallel, hiAnnotator, R (>= 3.0) |
Imports | sonicLength, dplyr, BiocGenerics, GenomicRanges, rSFFreader, readxl, methods |
LinkingTo | |
Suggests | knitr, testthat |
SystemRequirements | BLAT, UCSC hg18 in 2bit format for BLAT |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | hiReadsProcessor_1.14.0.tar.gz |
Windows Binary | |
Mac OS X 10.11 (El Capitan) | hiReadsProcessor_1.14.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/hiReadsProcessor |
Package Short Url | http://bioconductor.org/packages/hiReadsProcessor/ |
Package Downloads Report | Download Stats |
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