| dc.contributor.author | Expósito, Roberto R. | |
| dc.contributor.author | Veiga, Jorge | |
| dc.contributor.author | González-Domínguez, Jorge | |
| dc.contributor.author | Touriño, Juan | |
| dc.date.accessioned | 2018-07-04T14:48:36Z | |
| dc.date.issued | 2017 | |
| dc.identifier.citation | Roberto R. Expósito, Jorge Veiga, Jorge González-Domínguez, Juan Touriño; MarDRe: efficient MapReduce-based removal of duplicate DNA reads in the cloud, Bioinformatics, Volume 33, Issue 17, 1 September 2017, Pages 2762–2764, https://doi.org/10.1093/bioinformatics/btx307 | es_ES |
| dc.identifier.issn | 1367-4803 | |
| dc.identifier.issn | 1367-4811 | |
| dc.identifier.uri | http://hdl.handle.net/2183/20848 | |
| dc.description | This is a pre-copyedited, author-produced version of an article accepted for publication in Bioinformatics following peer review. The version of record Roberto R. Expósito, Jorge Veiga, Jorge González-Domínguez, Juan Touriño; MarDRe: efficient MapReduce-based removal of duplicate DNA reads in the cloud, Bioinformatics, Volume 33, Issue 17, 1 September 2017, Pages 2762–2764 is available online at: https://doi.org/10.1093/bioinformatics/btx307 | es_ES |
| dc.description.abstract | [Abstract] This article presents MarDRe, a de novo cloud-ready duplicate and near-duplicate removal tool that can process single- and paired-end reads from FASTQ/FASTA datasets. MarDRe takes advantage of the widely adopted MapReduce programming model to fully exploit Big Data technologies on cloud-based infrastructures. Written in Java to maximize cross-platform compatibility, MarDRe is built upon the open-source Apache Hadoop project, the most popular distributed computing framework for scalable Big Data processing. On a 16-node cluster deployed on the Amazon EC2 cloud platform, MarDRe is up to 8.52 times faster than a representative state-of-the-art tool. | es_ES |
| dc.description.sponsorship | Ministerio de Economia y Competitividad; TIN2016-75845-P | es_ES |
| dc.description.sponsorship | Ministerio de Educación; FPU014/02805 | es_ES |
| dc.language.iso | eng | es_ES |
| dc.publisher | Oxford University Press | es_ES |
| dc.relation.uri | https://doi.org/10.1093/bioinformatics/btx307 | es_ES |
| dc.subject | MarDRe | es_ES |
| dc.subject | Apache Hadoop | es_ES |
| dc.subject | Big Data | es_ES |
| dc.subject | Cloud platform | es_ES |
| dc.subject | MapReduce | es_ES |
| dc.subject | Cloud-ready duplicate | es_ES |
| dc.title | MarDRe: efficient MapReduce-based removal of duplicate DNA reads in the cloud | es_ES |
| dc.type | info:eu-repo/semantics/article | es_ES |
| dc.rights.access | info:eu-repo/semantics/embargoedAccess | es_ES |
| dc.date.embargoEndDate | 2018-09-02 | es_ES |
| dc.date.embargoLift | 2018-09-02 | |
| UDC.journalTitle | Bioinformatics | es_ES |
| UDC.volume | 33 | es_ES |
| UDC.issue | 17 | es_ES |
| UDC.startPage | 2762 | es_ES |
| UDC.endPage | 2764 | es_ES |
| dc.identifier.doi | 10.1093/bioinformatics/btx307 | |
