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» NITPICK: peak identification for mass spectrometry data
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BMCBI
2008
173views more  BMCBI 2008»
13 years 5 months ago
Improved machine learning method for analysis of gas phase chemistry of peptides
Background: Accurate peptide identification is important to high-throughput proteomics analyses that use mass spectrometry. Search programs compare fragmentation spectra (MS/MS) o...
Allison Gehrke, Shaojun Sun, Lukasz A. Kurgan, Nat...
BMCBI
2008
129views more  BMCBI 2008»
13 years 5 months ago
A unified approach to false discovery rate estimation
Background: False discovery rate (FDR) methods play an important role in analyzing highdimensional data. There are two types of FDR, tail area-based FDR and local FDR, as well as ...
Korbinian Strimmer
BMCBI
2008
82views more  BMCBI 2008»
13 years 5 months ago
Envelope: interactive software for modeling and fitting complex isotope distributions
Background: An important aspect of proteomic mass spectrometry involves quantifying and interpreting the isotope distributions arising from mixtures of macromolecules with differe...
Michael T. Sykes, James R. Williamson
BMCBI
2004
174views more  BMCBI 2004»
13 years 5 months ago
Implications for domain fusion protein-protein interactions based on structural information
Background: Several in silico methods exist that were developed to predict protein interactions from the copious amount of genomic and proteomic data. One of these methods is Doma...
Jer-Ming Chia, Prasanna R. Kolatkar
BMCBI
2008
214views more  BMCBI 2008»
13 years 5 months ago
Accelerating String Set Matching in FPGA Hardware for Bioinformatics Research
Background: This paper describes techniques for accelerating the performance of the string set matching problem with particular emphasis on applications in computational proteomic...
Yoginder S. Dandass, Shane C. Burgess, Mark Lawren...