{"title":"Hadoop在生物信息学中的应用","authors":"Li Xubin, Wen-Rui Jiang, Jiang Yi, Zou Quan","doi":"10.1109/OCS.2012.40","DOIUrl":null,"url":null,"abstract":"Bioinformatics is in a dilemma that traditional analysis tools work hard on the large-scale data from the high-throughout sequencing. In recent years, the open source Apache Hadoop project, which adopts MapReduce framework and distributed file system, brings bioinformatics researchers opportunities to obtain a scalable, efficient and reliable computing performance on Linux clusters and Cloud Computing Service. In this paper, we present Hadoop-based applications employed in bioinformatics, covering next-generation sequencing and other biological domains. In addition, we discuss obstacles and future works about Hadoop in bioinformatics.","PeriodicalId":244833,"journal":{"name":"2012 7th Open Cirrus Summit","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"27","resultStr":"{\"title\":\"Hadoop Applications in Bioinformatics\",\"authors\":\"Li Xubin, Wen-Rui Jiang, Jiang Yi, Zou Quan\",\"doi\":\"10.1109/OCS.2012.40\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Bioinformatics is in a dilemma that traditional analysis tools work hard on the large-scale data from the high-throughout sequencing. In recent years, the open source Apache Hadoop project, which adopts MapReduce framework and distributed file system, brings bioinformatics researchers opportunities to obtain a scalable, efficient and reliable computing performance on Linux clusters and Cloud Computing Service. In this paper, we present Hadoop-based applications employed in bioinformatics, covering next-generation sequencing and other biological domains. In addition, we discuss obstacles and future works about Hadoop in bioinformatics.\",\"PeriodicalId\":244833,\"journal\":{\"name\":\"2012 7th Open Cirrus Summit\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-06-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"27\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 7th Open Cirrus Summit\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/OCS.2012.40\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 7th Open Cirrus Summit","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OCS.2012.40","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Bioinformatics is in a dilemma that traditional analysis tools work hard on the large-scale data from the high-throughout sequencing. In recent years, the open source Apache Hadoop project, which adopts MapReduce framework and distributed file system, brings bioinformatics researchers opportunities to obtain a scalable, efficient and reliable computing performance on Linux clusters and Cloud Computing Service. In this paper, we present Hadoop-based applications employed in bioinformatics, covering next-generation sequencing and other biological domains. In addition, we discuss obstacles and future works about Hadoop in bioinformatics.