{"title":"使用Hadoop进行生物交互的分布式处理","authors":"B. Antal, B. Auer","doi":"10.1109/COGINFOCOM.2015.7390586","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a software to support the functional genomics community in experiment design by allowing them the processing of large-scale gene or protein interactions. The software is written in Python and uses Apache Hadoop as a distributed environment. We show how the software was implemented as well as how it scales with exponentially growing amount of data. The software is open source and is freely available at https://github.com/benauer/Biogrid-Hadoop.","PeriodicalId":377891,"journal":{"name":"2015 6th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Distributed processing of biological interactions using Hadoop\",\"authors\":\"B. Antal, B. Auer\",\"doi\":\"10.1109/COGINFOCOM.2015.7390586\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose a software to support the functional genomics community in experiment design by allowing them the processing of large-scale gene or protein interactions. The software is written in Python and uses Apache Hadoop as a distributed environment. We show how the software was implemented as well as how it scales with exponentially growing amount of data. The software is open source and is freely available at https://github.com/benauer/Biogrid-Hadoop.\",\"PeriodicalId\":377891,\"journal\":{\"name\":\"2015 6th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 6th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/COGINFOCOM.2015.7390586\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 6th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COGINFOCOM.2015.7390586","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Distributed processing of biological interactions using Hadoop
In this paper, we propose a software to support the functional genomics community in experiment design by allowing them the processing of large-scale gene or protein interactions. The software is written in Python and uses Apache Hadoop as a distributed environment. We show how the software was implemented as well as how it scales with exponentially growing amount of data. The software is open source and is freely available at https://github.com/benauer/Biogrid-Hadoop.