1. rNA: a fast and accurate short reads numerical aligner
- Author
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Cristian Del Fabbro, Francesco Vezzi, Alexandru I. Tomescu, and Alberto Policriti
- Subjects
Statistics and Probability ,Source code ,Computer science ,media_common.quotation_subject ,High-Throughput Nucleotide Sequencing ,RNA ,Sequence Analysis, DNA ,computer.file_format ,computer.software_genre ,Biochemistry ,Computer Science Applications ,Computational Mathematics ,ComputingMethodologies_PATTERNRECOGNITION ,Computational Theory and Mathematics ,Feature (computer vision) ,Humans ,Data mining ,Executable ,Sequence Alignment ,Molecular Biology ,computer ,Software ,Reference genome ,media_common - Abstract
Summary: The advent of high-throughput sequencers (HTS) introduced the need of new tools in order to analyse the large amount of data that those machines are able to produce. The mandatory first step for a wide range of analyses is the alignment of the sequences against a reference genome. We present a major update to our rNA (randomized Numerical Aligner) tool. The main feature of rNA is the fact that it achieves an accuracy greater than the majority of other tools in a feasible amount of time. rNA executables and source codes are freely downloadable at http://iga-rna.sourceforge.net/. Contact: vezzi@appliedgenomics.org; delfabbro@appliedgenomics.org Supplementary information: Supplementary data are available at Bioinformatics online. more...
- Published
- 2011
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