@article {441,
	title = {Highly sensitive and ultrafast read mapping for RNA-seq analysis.},
	journal = {DNA Res},
	volume = {23},
	year = {2016},
	month = {2016 Apr},
	pages = {93-100},
	abstract = {<p>As sequencing technologies progress, the amount of data produced grows exponentially, shifting the bottleneck of discovery towards the data analysis phase. In particular, currently available mapping solutions for RNA-seq leave room for improvement in terms of sensitivity and performance, hindering an efficient analysis of transcriptomes by massive sequencing. Here, we present an innovative approach that combines re-engineering, optimization and parallelization. This solution results in a significant increase of mapping sensitivity over a wide range of read lengths and substantial shorter runtimes when compared with current RNA-seq mapping methods available.</p>},
	keywords = {Genomics, High-Throughput Nucleotide Sequencing, Humans, Sensitivity and Specificity, Sequence Analysis, RNA, Transcriptome},
	issn = {1756-1663},
	doi = {10.1093/dnares/dsv039},
	author = {Medina, I and T{\'a}rraga, J and Mart{\'\i}nez, H and Barrachina, S and Castillo, M I and Paschall, J and Salavert-Torres, J and Blanquer-Espert, I and Hern{\'a}ndez-Garc{\'\i}a, V and Quintana-Ort{\'\i}, E S and Dopazo, J}
}
