An R framework for quality control
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README.md

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A General Framework for Quality Control Metrics

About

The qcmetrics package provides a general framework to develope quality control (QC) pipelines for any type of data that can be imported into R. The application of qcmetrics can be summarised in 5 points

  1. Identify a set of quality metrics of interest and implement them and their visualisation method into individual QcMetric instances.
  2. Bundles the QcMetric items into a QcMetrics instance.
  3. Automatically generate reports in pdf of html using the qcReport function using the QcMetrics object of step 2 as input.
  4. Optionally, reports can be customised.
  5. Wrap the above steps into a wrapper function or a new QC package for production use.

QC pipelines and packages will be described and disseminated through the wiki.

Installation

qcmetrics is a Bioconductor package and should in installed with

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("qcmetrics")

Bugs and question

Either file a GitHub issue or use the Bioconductor support forum.