SparkBWA is a new tool that exploits the capabilities of a Big Data technology as Apache Spark to boost the performance of one of the most widely adopted DNA sequence aligner, the Burrows-Wheeler Aligner (BWA).
Citation: José M. Abuín, Juan C. Pichel, Tomás F. Pena and Jorge Amigo. SparkBWA: Speeding Up the Alignment of High-Throughput DNA Sequencing Data.
PLoS ONE, Vol. 11, Issue 5, pp. 1-21, 2016.
Citation: José M. Abuín, Juan C. Pichel, Tomás F. Pena and Jorge Amigo. BigBWA: Approaching the Burrows-Wheeler Aligner to Big Data Technologies.
Bioinformatics, Vol. 31, Issue 24, pp. 4003-4005, 2015.
Perldoop automatically translates Hadoop-ready Perl scripts into its Java counterparts, which can be directly executed on a Hadoop cluster while improving their performance significantly.
Citation: José M. Abuín, Juan C. Pichel, Tomás F. Pena, Pablo Gamallo and Marcos García. Perldoop: Efficient Execution of Perl Scripts on Hadoop Clusters. IEEE Int. Conference on Big Data (IEEE Big Data), pp. 766-771, 2014.