Comparative evaluation of tandem MS search algorithms using a target-decoy search strategy.
about
MUMAL: multivariate analysis in shotgun proteomics using machine learning techniquesIdentifying novel biomarkers through data mining-a realistic scenario?Popular computational methods to assess multiprotein complexes derived from label-free affinity purification and mass spectrometry (AP-MS) experimentsUbiquitin-dependent proteasomal degradation of human liver cytochrome P450 2E1: identification of sites targeted for phosphorylation and ubiquitinationDecoy Methods for Assessing False Positives and False Discovery Rates in Shotgun ProteomicsProteomic insights into an expanded cellular role for cytoplasmic lipid droplets.Current algorithmic solutions for peptide-based proteomics data generation and identificationEvaluation and optimization of mass spectrometric settings during data-dependent acquisition mode: focus on LTQ-Orbitrap mass analyzersMASSyPup--an 'out of the box' solution for the analysis of mass spectrometry data.MSDA, a proteomics software suite for in-depth Mass Spectrometry Data Analysis using grid computing.Coherent pipeline for biomarker discovery using mass spectrometry and bioinformatics.Experimental-confirmation and functional-annotation of predicted proteins in the chicken genome.OMSSAGUI: An open-source user interface component to configure and run the OMSSA search engine.A compatible exon-exon junction database for the identification of exon skipping events using tandem mass spectrum data.Improved results in proteomics by use of local and peptide-class specific false discovery rates.Deterministic protein inference for shotgun proteomics data provides new insights into Arabidopsis pollen development and function.Elective affinities--bioinformatic analysis of proteomic mass spectrometry data.DirecTag: accurate sequence tags from peptide MS/MS through statistical scoringUltrafast ultraviolet photodissociation at 193 nm and its applicability to proteomic workflows.αB-crystallin is elevated in highly infiltrative apoptosis-resistant glioblastoma cells.PEPPI: a peptidomic database of human protein isoforms for proteomics experiments.Identification of ejaculated proteins in the house mouse (Mus domesticus) via isotopic labeling.Evaluation of the Consensus of Four Peptide Identification Algorithms for Tandem Mass Spectrometry Based Proteomics.Identification of alternative splice variants in Aspergillus flavus through comparison of multiple tandem MS search algorithms.Target-decoy search strategy for mass spectrometry-based proteomics.Multisite phosphorylation of human liver cytochrome P450 3A4 enhances Its gp78- and CHIP-mediated ubiquitination: a pivotal role of its Ser-478 residue in the gp78-catalyzed reaction.Cutting edge: Evidence for a dynamically driven T cell signaling mechanism.Targeted tissue proteomic analysis of human astrocytomas.Computational approaches to protein inference in shotgun proteomics.Mass spectrometry-based protein identification by integrating de novo sequencing with database searchingCOMPASS: a suite of pre- and post-search proteomics software tools for OMSSASelection on plant male function genes identifies candidates for reproductive isolation of yellow monkeyflowers.Filtering of MS/MS data for peptide identificationIntegrating omics technologies to study pulmonary physiology and pathology at the systems level.Screening for protein phosphorylation using nanoscale reactions on microdroplet arrays.Proteomic analyses of apoplastic proteins from germinating Arabidopsis thaliana pollen.Target-decoy approach and false discovery rate: when things may go wrong.Co-compartmentalization of the astroglial glutamate transporter, GLT-1, with glycolytic enzymes and mitochondriaMass spectrometry-based proteomics: qualitative identification to activity-based protein profiling.Cross-linking measurements of the Potato leafroll virus reveal protein interaction topologies required for virion stability, aphid transmission, and virus-plant interactions.
P2860
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P2860
Comparative evaluation of tandem MS search algorithms using a target-decoy search strategy.
description
2007 nî lūn-bûn
@nan
2007 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
name
Comparative evaluation of tand ...... target-decoy search strategy.
@ast
Comparative evaluation of tand ...... target-decoy search strategy.
@en
type
label
Comparative evaluation of tand ...... target-decoy search strategy.
@ast
Comparative evaluation of tand ...... target-decoy search strategy.
@en
prefLabel
Comparative evaluation of tand ...... target-decoy search strategy.
@ast
Comparative evaluation of tand ...... target-decoy search strategy.
@en
P2093
P2860
P1476
Comparative evaluation of tand ...... target-decoy search strategy.
@en
P2093
P2860
P304
P356
10.1074/MCP.M600469-MCP200
P577
2007-05-28T00:00:00Z