Maximilian Hanussek, Felix Bartusch, Jens Krüger, O. Kohlbacher
{"title":"BOOTABLE: Bioinformatics Benchmark Tool Suite","authors":"Maximilian Hanussek, Felix Bartusch, Jens Krüger, O. Kohlbacher","doi":"10.1109/CCGRID.2019.00027","DOIUrl":null,"url":null,"abstract":"The interest in analyzing biological data on a large scale has grown over the last years. Bioinformatic applications play an important role when it comes to the analysis of huge amounts of data. Due to the large amount of biological data and/or large problem spaces a considerable amount of computing resources is required to answer the raised research questions. In order to estimate which underlying hardware might be the most suitable for the bioinformatic tools applied, a well-defined benchmark suite is required. Such a benchmark suite can get useful in the case of purchasing hardware and even further for larger projects with the goal to establish a bioinformatics compute infrastructure. With this paper we present BOOTABLE, our bioinformatic benchmark suite. BOOTABLE currently contains six popular and widely used bioinformatic applications representing a broad spectrum of usage characteristics. It further includes an automated installation procedure and all required datasets. BOOTABLE is available from our Github repository (https://github.com/MaximilianHanussek/BOOTABLE) in various formats.","PeriodicalId":234571,"journal":{"name":"2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCGRID.2019.00027","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 interest in analyzing biological data on a large scale has grown over the last years. Bioinformatic applications play an important role when it comes to the analysis of huge amounts of data. Due to the large amount of biological data and/or large problem spaces a considerable amount of computing resources is required to answer the raised research questions. In order to estimate which underlying hardware might be the most suitable for the bioinformatic tools applied, a well-defined benchmark suite is required. Such a benchmark suite can get useful in the case of purchasing hardware and even further for larger projects with the goal to establish a bioinformatics compute infrastructure. With this paper we present BOOTABLE, our bioinformatic benchmark suite. BOOTABLE currently contains six popular and widely used bioinformatic applications representing a broad spectrum of usage characteristics. It further includes an automated installation procedure and all required datasets. BOOTABLE is available from our Github repository (https://github.com/MaximilianHanussek/BOOTABLE) in various formats.