Jose M. Herruzo, S. González-Navarro, P. Ibáñez, V. Viñals, Jesús Alastruey-Benedé, O. Plata
{"title":"Boosting Backward Search Throughput for FM-Index Using a Compressed Encoding","authors":"Jose M. Herruzo, S. González-Navarro, P. Ibáñez, V. Viñals, Jesús Alastruey-Benedé, O. Plata","doi":"10.1109/DCC.2019.00089","DOIUrl":null,"url":null,"abstract":"The rapid development of DNA sequencing technologies has demanded for compressed data structures supporting fast pattern matching queries. FM-index is a widely-used compressed data structure that also supports fast pattern matching queries. It is common for the exact matching algorithm to be memory bound, resulting in poor performance. We propose a new data-layout of FM-index that compacts all data needed to perform the searching process. This results in an improvement of the search computing time for genomic data.","PeriodicalId":167723,"journal":{"name":"2019 Data Compression Conference (DCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Data Compression Conference (DCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCC.2019.00089","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The rapid development of DNA sequencing technologies has demanded for compressed data structures supporting fast pattern matching queries. FM-index is a widely-used compressed data structure that also supports fast pattern matching queries. It is common for the exact matching algorithm to be memory bound, resulting in poor performance. We propose a new data-layout of FM-index that compacts all data needed to perform the searching process. This results in an improvement of the search computing time for genomic data.