水星系统的生物序列相似性搜索。

Praveen Krishnamurthy, Jeremy Buhler, Roger Chamberlain, Mark Franklin, Kwame Gyang, Arpith Jacob, Joseph Lancaster
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引用次数: 0

摘要

生物序列相似性搜索是现代分子生物学的重要应用。搜索算法的目的是识别序列的集合,其外延相似性表明一个共同的进化起源或功能。最广泛使用的生物序列相似性搜索工具是BLAST,这是一个用于将查询序列与数据库进行比较的程序。在这里,我们提出了BLASTN的设计,BLAST的版本,搜索DNA序列,在水星系统上,一个架构,支持大容量,高通量的数据移动从数据存储到可重构的硬件。在Mercury系统上部署应用程序的一个重要组成部分是将应用程序分解到可重构硬件和传统处理器上。介绍了Mercury BLASTN的应用设计和性能分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Biosequence Similarity Search on the Mercury System.

Biosequence similarity search is an important application in modern molecular biology. Search algorithms aim to identify sets of sequences whose extensional similarity suggests a common evolutionary origin or function. The most widely used similarity search tool for biosequences is BLAST, a program designed to compare query sequences to a database. Here, we present the design of BLASTN, the version of BLAST that searches DNA sequences, on the Mercury system, an architecture that supports high-volume, high-throughput data movement off a data store and into reconfigurable hardware. An important component of application deployment on the Mercury system is the functional decomposition of the application onto both the reconfigurable hardware and the traditional processor. Both the Mercury BLASTN application design and its performance analysis are described.

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