C. Olson, Maria Kim, Cooper Clauson, B. Kogon, C. Ebeling, S. Hauck, W. L. Ruzzo
{"title":"短读映射的硬件加速","authors":"C. Olson, Maria Kim, Cooper Clauson, B. Kogon, C. Ebeling, S. Hauck, W. L. Ruzzo","doi":"10.1109/FCCM.2012.36","DOIUrl":null,"url":null,"abstract":"Bioinformatics is an emerging field with seemingly limitless possibilities for advances in numerous areas of research and applications. We propose a scalable FPGA-based solution to the short read mapping problem in DNA sequencing, which greatly accelerates the task of aligning short length reads to a known reference genome. We compare the runtime, power consumption, and sensitivity of the hardware system to the BFAST and Bowtie software tools. The hardware system demonstrates a 250X speedup versus BFAST and a 31X speedup versus Bowtie on eight CPU cores. Also, the hardware system is more sensitive than Bowtie, which aligns approximately 80% of the short reads, as compared to 91% aligned by the hardware.","PeriodicalId":226197,"journal":{"name":"2012 IEEE 20th International Symposium on Field-Programmable Custom Computing Machines","volume":"99 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"116","resultStr":"{\"title\":\"Hardware Acceleration of Short Read Mapping\",\"authors\":\"C. Olson, Maria Kim, Cooper Clauson, B. Kogon, C. Ebeling, S. Hauck, W. L. Ruzzo\",\"doi\":\"10.1109/FCCM.2012.36\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Bioinformatics is an emerging field with seemingly limitless possibilities for advances in numerous areas of research and applications. We propose a scalable FPGA-based solution to the short read mapping problem in DNA sequencing, which greatly accelerates the task of aligning short length reads to a known reference genome. We compare the runtime, power consumption, and sensitivity of the hardware system to the BFAST and Bowtie software tools. The hardware system demonstrates a 250X speedup versus BFAST and a 31X speedup versus Bowtie on eight CPU cores. Also, the hardware system is more sensitive than Bowtie, which aligns approximately 80% of the short reads, as compared to 91% aligned by the hardware.\",\"PeriodicalId\":226197,\"journal\":{\"name\":\"2012 IEEE 20th International Symposium on Field-Programmable Custom Computing Machines\",\"volume\":\"99 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-04-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"116\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE 20th International Symposium on Field-Programmable Custom Computing Machines\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FCCM.2012.36\",\"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 IEEE 20th International Symposium on Field-Programmable Custom Computing Machines","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FCCM.2012.36","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Bioinformatics is an emerging field with seemingly limitless possibilities for advances in numerous areas of research and applications. We propose a scalable FPGA-based solution to the short read mapping problem in DNA sequencing, which greatly accelerates the task of aligning short length reads to a known reference genome. We compare the runtime, power consumption, and sensitivity of the hardware system to the BFAST and Bowtie software tools. The hardware system demonstrates a 250X speedup versus BFAST and a 31X speedup versus Bowtie on eight CPU cores. Also, the hardware system is more sensitive than Bowtie, which aligns approximately 80% of the short reads, as compared to 91% aligned by the hardware.