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利用现场可编程门阵列进行肽质量指纹图谱分析。

Peptide mass fingerprinting using field-programmable gate arrays.

出版信息

IEEE Trans Biomed Circuits Syst. 2009 Jun;3(3):142-9. doi: 10.1109/TBCAS.2008.2010945.

Abstract

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.

摘要

可重构计算范式利用现场可编程门阵列(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。本文描述了一种用于处理 MALDI-TOF 仪器生成的原始质谱数据的可重构计算解决方案。在 180 MHz 的 Xilinx Virtex-2 FPGA 上运行的硬件实现算法,用于去噪、基线校正、峰识别和解卷积,生成的质量指纹比等效的 C 语言算法在双 3GHz Xeon 服务器上运行时快 100 多倍。FPGA 实现获得的结果与商业软件包 MassLynx 生成的结果几乎完全相同。

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