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        <title>Open Research Computation - Most accessed articles</title>
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        <description>The most accessed research articles published by Open Research Computation</description>
        <dc:date>2012-03-07T00:00:00Z</dc:date>
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        <title>bio-samtools: Ruby bindings for SAMtools, a library for accessing BAM files containing high-throughput sequence alignments</title>
        <description>Background:
The SAMtools utilities comprise a very useful and widely used suite of software for manipulating files and alignments in the SAM and BAM format, used in a wide range of genetic analyses. The SAMtools utilities are implemented in C and provide an API for programmatic access, to help make this functionality available to programmers wishing to develop in the high level Ruby language we have developed bio-samtools, a Ruby binding to the SAMtools library.
Results:
The utility of SAMtools is encapsulated in 3 main classes, Bio::DB::Sam, representing the alignment files and providing access to the data in them, Bio::DB::Alignment, representing the individual read alignments inside the files and Bio::DB::Pileup, representing the summarised nucleotides of reads over a single point in the nucleotide sequence to which the reads are aligned.
Conclusions:
bio-samtools is a flexible and easy to use interface that programmers of many levels of experience can use to access the information in the popular and common SAM/BAM format.</description>
        <link>http://www.openresearchcomputation.com/content/1/1/1</link>
                <dc:creator>Ricardo Ramirez-Gonzalez</dc:creator>
                <dc:creator>Raoul Bonnal</dc:creator>
                <dc:creator>Mario Caccamo</dc:creator>
                <dc:creator>Daniel MacLean</dc:creator>
                <dc:source>Open Research Computation 2012, null:1</dc:source>
        <dc:date>2012-03-07T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/2042-5767-1-1</dc:identifier>
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