Maria Luiza Mondelli, Marcelo Galheigo, V´ıvian Medeiros, Bruno F. Bastos, A. A. Gomes, M. Mattoso, A. T. Vasconcelos, Luiz M. R. Gadelha
{"title":"Integrating Scientific Workflows with Scientific Gateways: A Bioinformatics Experiment in the Brazilian National High-Performance Computing Network","authors":"Maria Luiza Mondelli, Marcelo Galheigo, V´ıvian Medeiros, Bruno F. Bastos, A. A. Gomes, M. Mattoso, A. T. Vasconcelos, Luiz M. R. Gadelha","doi":"10.5753/bresci.2016.9124","DOIUrl":null,"url":null,"abstract":"Bioinformatics experiments are rapidly and constantly evolving due improvements in sequencing technologies. These experiments usually demand high performance computation and produce huge quantities of data. They also require different programs to be executed in a certain order, allowing the experiments to be modeled as workflows. However, users do not always have the infrastructure needed to perform these experiments. Our contribution is the integration of scientific workflow management systems and grid-enabled scientific gateways, providing the user with a transparent way to run these workflows in geographically distributed computing resources. The availability of the workflow through the gateway allows for a better usability of these experiments.","PeriodicalId":306675,"journal":{"name":"Anais do Brazilian e-Science Workshop (BreSci)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Anais do Brazilian e-Science Workshop (BreSci)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5753/bresci.2016.9124","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
Bioinformatics experiments are rapidly and constantly evolving due improvements in sequencing technologies. These experiments usually demand high performance computation and produce huge quantities of data. They also require different programs to be executed in a certain order, allowing the experiments to be modeled as workflows. However, users do not always have the infrastructure needed to perform these experiments. Our contribution is the integration of scientific workflow management systems and grid-enabled scientific gateways, providing the user with a transparent way to run these workflows in geographically distributed computing resources. The availability of the workflow through the gateway allows for a better usability of these experiments.