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\title{An Introduction to the GenomicAlignments Package}
\author{Herv\'{e} Pag\`{e}s}
\date{\today}

\begin{document}

\maketitle

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\tableofcontents

\section{Introduction}

The \Rpackage{GenomicAlignments} package serves as the foundation for
representing genomic alignments within the \software{Bioconductor}
project.  In the \software{Bioconductor} package hierarchy, it builds
upon the \Rpackage{GenomicRanges} (infrastructure) package and provides
support for many \software{Bioconductor} packages.

This package defines three classes: \Rclass{GAlignments},
\Rclass{GAlignmentPairs}, and \Rclass{GAlignmentsList}), which are used
to represent genomic alignments, pairs of genomic alignments, and groups
of genomic alignments.

The \Rpackage{GenomicAlignments} package is available at bioconductor.org
and can be downloaded via \Rfunction{biocLite}:

<<biocLite, eval=FALSE>>=
source("https://bioconductor.org/biocLite.R")
biocLite("GenomicAlignments")
@
<<initialize, results=hide>>=
library(GenomicAlignments)
@


%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\section{\Rclass{GAlignments}: Genomic Alignments} 

The \Rclass{GAlignments} class which is a container for storing a set of
genomic alignments. The class is intended to support alignments in general,
not only those coming from a 'Binary Alignment Map' or 'BAM' files.
Also alignments with gaps in the reference sequence (a.k.a.
\emph{gapped alignments}) are supported which, for example, makes
the class suited for storing junction reads from an RNA-seq experiment.

More precisely, a \Rclass{GAlignments} object is a vector-like
object where each element describes an \emph{alignment}, that is,
how a given sequence (called \emph{query} or \emph{read}, typically
short) aligns to a reference sequence (typically long).

As shown later in this document, a \Rclass{GAlignments} object
can be created from a 'BAM' file. In that case, each element in the
resulting object will correspond to a record in the file.
One important thing to note though is that not all the information
present in the BAM/SAM records is stored in the object. In particular,
for now, we discard the query sequences (SEQ field), the query ids
(QNAME field), the query qualities (QUAL), the mapping qualities (MAPQ)
and any other information that is not needed in order to support the
basic set of operations described in this document.
This also means that multi-reads (i.e. reads with multiple hits in the
reference) don't receive any special treatment i.e. the various SAM/BAM
records corresponding to a multi-read will show up in the \Rclass{GAlignments}
object as if they were coming from different/unrelated queries.
Also paired-end reads will be treated as single-end reads and the
pairing information will be lost. This might change in the future.


\subsection{Load a `BAM' file into a \Rclass{GAlignments} object}

First we use the \Rfunction{readGAlignments} function from the
\Rpackage{GenomicAlignments} package to load a toy `BAM' file into
a \Rclass{GAlignments} object:
<<readGAlignments>>=
library(GenomicAlignments)
aln1_file <- system.file("extdata", "ex1.bam", package="Rsamtools")
aln1 <- readGAlignments(aln1_file)
aln1
length(aln1)
@

3271 `BAM' records were loaded into the object.

Note that \Rfunction{readGAlignments} would have discarded
any `BAM' record describing an unaligned query (see description
of the <flag> field in the SAM Format Specification
\footnote{\url{http://samtools.sourceforge.net/SAM1.pdf}}
for more information).
The reader interested in tracking down these events can always
use the \Rfunction{scanBam} function but this goes beyond the scope
of this document.

\subsection{Simple accessor methods}

There is one accessor per field displayed by the \Rmethod{show} method
and it has the same name as the field. All of them return a vector or
factor of the same length as the object:
<<accessors>>=
head(seqnames(aln1))
seqlevels(aln1)
head(strand(aln1))
head(cigar(aln1))
head(qwidth(aln1))
head(start(aln1))
head(end(aln1))
head(width(aln1))
head(njunc(aln1))
@

\subsection{More accessor methods}

[coming soon...]


%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\section{\Rclass{GAlignmentPairs}: Pairs of Genomic Alignments} 

[coming soon...]


%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\section{\Rclass{GAlignmentsList}: Groups of Genomic Alignments} 

[coming soon...]


%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\section{Session Information}

All of the output in this vignette was produced under the following
conditions:

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sessionInfo()
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\end{document}
