Peptide Mass Fingerprinting Using Field-Programmable Gate Arrays
Peptide Mass Fingerprinting Using Field-Programmable Gate Arrays
复制标题
使用现场可编程门阵列进行肽质量指纹分析
DOI：
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复制
发表时间：
2009
影响因子：
5.1
通讯作者：
R. Beynon
中科院分区：
文献类型：
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作者：
I. Bogdán;D. Coca;R. Beynon
可重构计算范式利用了现场可编程门阵列（FPGA）的灵活性和多功能性，已成为加速时间关键算法的强大解决方案。本文介绍了一种用于处理MALDI-TOF仪器产生的原始质谱数据的可重构计算解决方案。硬件实现的去噪、基线校正、峰值识别和去同位素算法在Xilinx Virtex-2 FPGA上以180 MHz运行，生成的质量指纹比在双3 GHz Xeon服务器上运行的C编写的等效算法快100倍以上。使用FPGA实现所获得的结果几乎相同的商业软件包MassLynx所产生的。
The reconfigurable computing paradigm, which exploits the flexibility and versatility of field-programmable gate arrays (FPGAs), has emerged as a powerful solution for speeding up time-critical algorithms. This paper describes a reconfigurable computing solution for processing raw mass spectrometric data generated by MALDI-TOF instruments. The hardware-implemented algorithms for denoising, baseline correction, peak identification, and deisotoping, running on a Xilinx Virtex-2 FPGA at 180 MHz, generate a mass fingerprint that is over 100 times faster than an equivalent algorithm written in C, running on a Dual 3-GHz Xeon server. The results obtained using the FPGA implementation are virtually identical to those generated by a commercial software package MassLynx.