Protein identification using customized protein sequence databases derived from RNA-Seq data.
about
Proteogenomic characterization of human colon and rectal cancerUsing Galaxy-P to leverage RNA-Seq for the discovery of novel protein variationsDemonstration of Protein-Based Human Identification Using the Hair Shaft ProteomeProteogenomics: concepts, applications and computational strategiesCurrent algorithmic solutions for peptide-based proteomics data generation and identificationProteogenomic database construction driven from large scale RNA-seq data.customProDB: an R package to generate customized protein databases from RNA-Seq data for proteomics search.Identification of gene fusions from human lung cancer mass spectrometry dataProteogenomic strategies for identification of aberrant cancer peptides using large-scale next-generation sequencing data.Leveraging the complementary nature of RNA-Seq and shotgun proteomics data.Integration of mass spectrometry and RNA-Seq data to confirm human ab initio predicted genes and lncRNAs.Identification of rare alternative splicing events in MS/MS data reveals a significant fraction of alternative translation initiation sites.Improving protein identification from tandem mass spectrometry data by one-step methods and integrating data from other platforms.Proteogenomic convergence for understanding cancer pathways and networks.Pepitome: evaluating improved spectral library search for identification complementarity and quality assessment.Utility of RNA-seq and GPMDB protein observation frequency for improving the sensitivity of protein identification by tandem MSMicrobiology and proteomics, getting the best of both worlds!An Analysis of the Sensitivity of Proteogenomic Mapping of Somatic Mutations and Novel Splicing Events in Cancer.Protein analysis by shotgun/bottom-up proteomicsMutation spectrum in human colorectal cancers and potential functional relevance.Proteogenomics of Gammarus fossarum to document the reproductive system of amphipods.Integrating genomic, transcriptomic, and interactome data to improve Peptide and protein identification in shotgun proteomics.PROTEOFORMER: deep proteome coverage through ribosome profiling and MS integrationCMPD: cancer mutant proteome database.Flexible and accessible workflows for improved proteogenomic analysis using the Galaxy frameworkMSProGene: integrative proteogenomics beyond six-frames and single nucleotide polymorphisms.Proteomic analysis of colon and rectal carcinoma using standard and customized databasesComplex Behavior of ALDH1A1 and IGFBP1 in Liver Metastasis from a Colorectal Cancer.PyQuant: A Versatile Framework for Analysis of Quantitative Mass Spectrometry Data.PGA: an R/Bioconductor package for identification of novel peptides using a customized database derived from RNA-Seq.Improvement of peptide identification with considering the abundance of mRNA and peptideOnco-proteogenomics identifies urinary S100A9 and GRN as potential combinatorial biomarkers for early diagnosis of hepatocellular carcinoma.A bioinformatics approach for integrated transcriptomic and proteomic comparative analyses of model and non-sequenced anopheline vectors of human malaria parasites.Decoding neuroproteomics: integrating the genome, translatome and functional anatomyEffective Leveraging of Targeted Search Spaces for Improving Peptide Identification in Tandem Mass Spectrometry Based Proteomics.Integrative subcellular proteomic analysis allows accurate prediction of human disease-causing genes.Deep proteome coverage based on ribosome profiling aids mass spectrometry-based protein and peptide discovery and provides evidence of alternative translation products and near-cognate translation initiation eventsDiscovery and mass spectrometric analysis of novel splice-junction peptides using RNA-SeqProteogenomics: Integrating Next-Generation Sequencing and Mass Spectrometry to Characterize Human Proteomic VariationJUMPg: An Integrative Proteogenomics Pipeline Identifying Unannotated Proteins in Human Brain and Cancer Cells.
P2860
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P2860
Protein identification using customized protein sequence databases derived from RNA-Seq data.
description
2011 nî lūn-bûn
@nan
2011 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Protein identification using c ...... ses derived from RNA-Seq data.
@ast
Protein identification using c ...... ses derived from RNA-Seq data.
@en
Protein identification using c ...... ses derived from RNA-Seq data.
@nl
type
label
Protein identification using c ...... ses derived from RNA-Seq data.
@ast
Protein identification using c ...... ses derived from RNA-Seq data.
@en
Protein identification using c ...... ses derived from RNA-Seq data.
@nl
prefLabel
Protein identification using c ...... ses derived from RNA-Seq data.
@ast
Protein identification using c ...... ses derived from RNA-Seq data.
@en
Protein identification using c ...... ses derived from RNA-Seq data.
@nl
P2093
P2860
P356
P1476
Protein identification using c ...... ses derived from RNA-Seq data.
@en
P2093
Bing Zhang
Patrick J Halvey
Robbert J C Slebos
Xiaojing Wang
P2860
P304
P356
10.1021/PR200766Z
P577
2011-12-14T00:00:00Z