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\begin{document}
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\title{
{\bf miRNAtap.db}: microRNA Targets - Aggregated Predictions database use}
\author{Maciej Pajak, T. Ian Simpson}
\date{\today}

\maketitle
\tableofcontents
\newpage


\section{Introduction}
{\tt miRNAtap.db} package provides annotation data for 
{\tt miRNAtap} performing target prediction aggregation.
Aggregation of commonly used prediction algorithm outputs in a way that 
improves on performance of every single one of them on their own when compared 
against experimentally derived targets.

Targets are aggregated from 4 most commonly cited prediction algorithms: DIANA 
\citep{Maragkakis2011}, Miranda \citep{Enright2003}, PicTar \citep{Lall2006} 
and TargetScan \citep{Friedman2009}.

To read more about miRNA target prediction methods used refer to the 
{\tt miRNAtap} package vignette available 
from http://www.bioconductor.org .


\section{Installation}

This section briefly describes the necessary steps to get 
{\tt miRNAtap.db} running on your system. We assume that the user has 
the R program (see the R project at http://www.r-project.org) already 
installed and is familiar with it. 
You will need to have R 3.0.0 or later to be able to install and run 
{\tt miRNAtap.db}.
The miRNAtap package is available from the Bioconductor repository 
at http://www.bioconductor.org To be
able to install the package one needs first to install the core Bioconductor 
packages. If you have already
installed Bioconductor packages on your system then you can skip 
the two lines below.

<<eval = FALSE>>=
source("http://bioconductor.org/biocLite.R")
biocLite()
@

Once the core Bioconductor packages are installed, we can install the 
miRNAtap package by

<<eval = FALSE>>=
source("http://bioconductor.org/biocLite.R")
biocLite("miRNAtap.db")
@

\section{Workflow}
For the information about how to use the miRNA target data refer to the 
{\tt miRNAtap} package vignette available from 
http://www.bioconductor.org.


\section{Session Information}

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\addcontentsline{toc}{section}{References} \label{references}


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