A Scalable Approach for Protein False Discovery Rate Estimation in Large Proteomic Data Sets.
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The Human Skeletal Muscle Proteome Project: a reappraisal of the current literatureHuman Proteome Project Mass Spectrometry Data Interpretation Guidelines 2.1.Fast and Accurate Protein False Discovery Rates on Large-Scale Proteomics Data Sets with Percolator 3.0.Integrating transcriptomic and proteomic data for accurate assembly and annotation of genomes.An Optimized Shotgun Strategy for the Rapid Generation of Comprehensive Human Proteomes.Metrics for the Human Proteome Project 2015: Progress on the Human Proteome and Guidelines for High-Confidence Protein Identification.Identification of Maturation-Specific Proteins by Single-Cell Proteomics of Human Oocytes.Improving GENCODE reference gene annotation using a high-stringency proteogenomics workflow.The potential clinical impact of the release of two drafts of the human proteome.State of the Human Proteome in 2014/2015 As Viewed through PeptideAtlas: Enhancing Accuracy and Coverage through the AtlasProphetMI-PVT: A Tool for Visualizing the Chromosome-Centric Human ProteomeGenic insights from integrated human proteomics in GeneCards.Progress in the Chromosome-Centric Human Proteome Project as Highlighted in the Annual Special Issue IV.The Combination of RNA and Protein Profiling Reveals the Response to Nitrogen Depletion in Thalassiosira pseudonanaStatistical control of peptide and protein error rates in large-scale targeted data-independent acquisition analyses.Expanding Proteome Coverage with CHarge Ordered Parallel Ion aNalysis (CHOPIN) Combined with Broad Specificity Proteolysis.Covariation of Peptide Abundances Accurately Reflects Protein Concentration Differences.Building ProteomeTools based on a complete synthetic human proteome.GAPP: A Proteogenomic Software for Genome Annotation and Global Profiling of Post-translational Modifications in Prokaryotes.How to talk about protein-level false discovery rates in shotgun proteomics.Systematic Errors in Peptide and Protein Identification and Quantification by Modified Peptides.Posttranslational Protein Modifications in Plant Metabolism.Isoelectric point-based fractionation by HiRIEF coupled to LC-MS allows for in-depth quantitative analysis of the phosphoproteome.iTRAQ-based proteomic profiling of a Microbacterium sp. strain during benzo(a)pyrene removal under anaerobic conditions.Comparative proteomics reveals signature metabolisms of exponentially growing and stationary phase marine bacteria.Optimization of Experimental Parameters in Data-Independent Mass Spectrometry Significantly Increases Depth and Reproducibility of Results.ProteomicsDB.Plasma proteomics reveals coagulation, inflammation, and metabolic shifts in H-type hypertension patients with and without acute ischemic stroke.Advances in the Chromosome-Centric Human Proteome Project: looking to the future.Synaptic markers of cognitive decline in neurodegenerative diseases: a proteomic approach.Systematic analysis of protein turnover in primary cells.From mystery to mechanism: can proteomics build systems-level understanding of our gut microbes?Discovery of coding regions in the human genome by integrated proteogenomics analysis workflow.Cost-effective generation of precise label-free quantitative proteomes in high-throughput by microLC and data-independent acquisition.iTRAQ-Based Proteomic Analysis Reveals Potential Regulation Networks of IBA-Induced Adventitious Root Formation in Apple.Distinct sperm nucleus behaviors between genotypic and temperature-dependent sex determination males are associated with replication and expression-related pathways in a gynogenetic fish.Extracellular nanovesicles released from the commensal yeast Malassezia sympodialis are enriched in allergens and interact with cells in human skin.Discovery of novel plasma biomarkers for future incident venous thromboembolism by untargeted synchronous precursor selection mass spectrometry proteomicsMetabolic reprogramming of acute lymphoblastic leukemia cells in response to glucocorticoid treatmentComplementary iTRAQ-based proteomic and RNA sequencing-based transcriptomic analyses reveal a complex network regulating pomegranate (Punica granatum L.) fruit peel colour
P2860
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P2860
A Scalable Approach for Protein False Discovery Rate Estimation in Large Proteomic Data Sets.
description
2015 nî lūn-bûn
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2015 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2015 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
name
A Scalable Approach for Protei ...... in Large Proteomic Data Sets.
@ast
A Scalable Approach for Protei ...... in Large Proteomic Data Sets.
@en
type
label
A Scalable Approach for Protei ...... in Large Proteomic Data Sets.
@ast
A Scalable Approach for Protei ...... in Large Proteomic Data Sets.
@en
prefLabel
A Scalable Approach for Protei ...... in Large Proteomic Data Sets.
@ast
A Scalable Approach for Protei ...... in Large Proteomic Data Sets.
@en
P2093
P2860
P356
P1476
A Scalable Approach for Protei ...... in Large Proteomic Data Sets.
@en
P2093
Hannes Hahne
Marcus Bantscheff
Mikhail M Savitski
P2860
P304
P356
10.1074/MCP.M114.046995
P577
2015-05-17T00:00:00Z