Tempest: GPU-CPU computing for high-throughput database spectral matching.
about
Next generation distributed computing for cancer researchCurrent algorithmic solutions for peptide-based proteomics data generation and identificationDistributed computing and data storage in proteomics: many hands make light work, and a stronger memory.Accelerating the scoring module of mass spectrometry-based peptide identification using GPUs.The SEQUEST family tree.SILAC surrogates: rescue of quantitative information for orphan analytes in spike-in SILAC experiments.A deeper look into Comet--implementation and features.Tempest: Accelerated MS/MS Database Search Software for Heterogeneous Computing Platforms.Anatomy and evolution of database search engines-a central component of mass spectrometry based proteomic workflows.
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P2860
Tempest: GPU-CPU computing for high-throughput database spectral matching.
description
2012 nî lūn-bûn
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2012年の論文
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2012年論文
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2012年論文
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2012年論文
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2012年論文
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2012年論文
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2012年论文
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2012年论文
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name
Tempest: GPU-CPU computing for high-throughput database spectral matching.
@ast
Tempest: GPU-CPU computing for high-throughput database spectral matching.
@en
type
label
Tempest: GPU-CPU computing for high-throughput database spectral matching.
@ast
Tempest: GPU-CPU computing for high-throughput database spectral matching.
@en
prefLabel
Tempest: GPU-CPU computing for high-throughput database spectral matching.
@ast
Tempest: GPU-CPU computing for high-throughput database spectral matching.
@en
P2860
P356
P1476
Tempest: GPU-CPU computing for high-throughput database spectral matching.
@en
P2093
Brendan K Faherty
Jeffrey A Milloy
P2860
P304
P356
10.1021/PR300338P
P577
2012-06-08T00:00:00Z