一种基于肽诊断猪原贝蛔虫感染的结构化软硬件体系结构（ICIAfS14）
A Structured Hardware Software Architecture for Peptide Based Diagnosis of Baylisascaris Procyonis Infection (ICIAfS14)
摘要：
在鸟枪法蛋白质组学工作流程中从复杂的肽鸡尾酒（生物样品的消化产物）推断蛋白质的问题在所需的非常高的处理通量、快速处理速率和结果的可靠性方面对计算资源提出了极端的要求。通常，由于存在该蛋白质的剪接变体和同种型，给定的蛋白质不能由固定的氨基酸序列定义，这一事实加剧了这种情况。因此，蛋白质推断问题可以被认为是一个识别具有一定限度耐受性的氨基酸序列的问题。在当前的文件中，一个结构化的和实用的推理方法的基于模型的硬件加速开发和验证的质谱实验的现实规模。与在用于协同设计的处理器上运行的类似纯软件工作流程相比，我们在协同设计工作流程中实现了10倍的最大速度提升。
英文摘要：
The problem of inferring proteins from complex peptide cocktails (digestion products of biological samples) in shotgun proteomic workflow sets extreme demands on computational resources in respect of the required very high processing throughputs, rapid processing rates and reliability of results. This is exacerbated by the fact that, in general, a given protein cannot be defined by a fixed sequence of amino acids due to the existence of splice variants and isoforms of that protein. Therefore, the problem of protein inference could be considered as one of identifying sequences of amino acids with some limited tolerance. In the current paper a model-based hardware acceleration of a structured and practical inference approach is developed and validated on a mass spectrometry experiment of realistic size. We have achieved 10 times maximum speed-up in the co-designed workflow compared to a similar software-only workflow run on the processor used for co-design.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
