Title :
A parallel programming framework with Markovian messaging for LC-MS peptide detection
Author :
Zhang, Zhenghao ; Sun, Youting ; Braga-Neto, Ulisses ; Dougherty, Edward ; Zhang, Jianqiu
Author_Institution :
Comput. Sci. Dept., Florida State Univ., Tallahassee, FL, USA
Abstract :
In this poster, we present our initial results on designing a parallel programing framework to support advanced signal processing algorithms for peak detection in Liquid Chromatography-Mass Spectrometry (LC-MS) data. We propose the PAMM programming model and implement a parallel LC-MS peak detection algorithm (BPDA2d) that requires Gibbs sampling. Our initial measurements show that the parallel code is able to achieve significant speedup while offering fault tolerance.
Keywords :
Markov processes; biology computing; chromatography; fault tolerant computing; mass spectroscopy; parallel programming; proteins; signal processing; Gibbs sampling; LC-MS peptide detection; Markovian messaging; PAMM programming model; fault tolerance; liquid chromatography-mass spectrometry data; parallel LC-MS peak detection algorithm; parallel programming framework; signal processing algorithms; Clustering algorithms; Fault tolerance; Fault tolerant systems; Mathematical model; Peptides; Random variables; Servers; fault tolerance; parallel processing;
Conference_Titel :
Bioinformatics and Biomedicine Workshops (BIBMW), 2011 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4577-1612-6
DOI :
10.1109/BIBMW.2011.6112559
