Proteogenomic database construction driven from large scale RNA-seq data.
about
Using Galaxy-P to leverage RNA-Seq for the discovery of novel protein variationsMaking proteomics data accessible and reusable: current state of proteomics databases and repositoriesProteogenomics: concepts, applications and computational strategiesA chromosome-based draft sequence of the hexaploid bread wheat (Triticum aestivum) genomeProteogenomic 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.A Pilot Proteogenomic Study with Data Integration Identifies MCT1 and GLUT1 as Prognostic Markers in Lung AdenocarcinomaChoosing an Optimal Database for Protein Identification from Tandem Mass Spectrometry Data.Integrating transcriptomic and proteomic data for accurate assembly and annotation of genomes.Annotation of the zebrafish genome through an integrated transcriptomic and proteomic analysis.An Analysis of the Sensitivity of Proteogenomic Mapping of Somatic Mutations and Novel Splicing Events in Cancer.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.Flexible and accessible workflows for improved proteogenomic analysis using the Galaxy frameworkMSProGene: integrative proteogenomics beyond six-frames and single nucleotide polymorphisms.Proteomics informed by transcriptomics for characterising active transposable elements and genome annotation in Aedes aegypti.Evaluating the effect of database inflation in proteogenomic search on sensitive and reliable peptide identificationProteogenomics: 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.A systematic approach for peptide characterization of B-cell receptor in chronic lymphocytic leukemia cells.Forty-four novel protein-coding loci discovered using a proteomics informed by transcriptomics (PIT) approach in rat male germ cells.Integrated Transcriptomic-Proteomic Analysis Using a Proteogenomic Workflow Refines Rat Genome AnnotationTranslational Research and Plasma Proteomic in Cancer.Identification of differentially expressed splice variants by the proteogenomic pipeline Splicify.Methods, Tools and Current Perspectives in Proteogenomics.A mass graph-based approach for the identification of modified proteoforms using top-down tandem mass spectra.Integrating transcriptome and proteome profiling: Strategies and applications.A proteogenomics approach integrating proteomics and ribosome profiling increases the efficiency of protein identification and enables the discovery of alternative translation start sites.Identification of Small Novel Coding Sequences, a Proteogenomics Endeavor.Proteogenomics for the Comprehensive Analysis of Human Cellular and Serum Antibody Repertoires.Polymorphism-aware protein databases - a prerequisite for an unbiased proteomic analysis of natural populations.ACTG: novel peptide mapping onto gene models.High-throughput parallel proteogenomics: a bacterial case study.Mining for Micropeptides.Advanced Proteogenomic Analysis Reveals Multiple Peptide Mutations and Complex Immunoglobulin Peptides in Colon Cancer.The antibody repertoire of colorectal cancer.Compact variant-rich customized sequence database and a fast and sensitive database search for efficient proteogenomic analyses.Computational identification of micro-structural variations and their proteogenomic consequences in cancer.
P2860
Q28246542-6D53E772-FCC5-4C1B-BF2F-92D7A90C7F46Q28648439-210A5996-EA1F-4FE8-8246-6520A27B970AQ28649850-A45B974C-5C0D-4AB1-B156-3F9B332A6AC2Q29029314-1EC9E547-4BB4-492C-B017-67B0F63E88ECQ30855664-11CA367A-C666-4157-9989-475878183186Q30855943-51DC6DDE-3872-4683-A827-D63A78FA2A81Q30863718-4BA96BBC-D30F-4515-8B3C-5221969E9183Q30870371-3E008C10-A9B5-49E1-BD43-FBD8534B1B91Q31018336-D9908F06-782B-4C19-B832-6DBC2FD418FDQ31148959-3D9EEFAA-1FBE-4BBE-9E8B-BFB1EC436923Q31150517-0B0E0217-88F5-422A-A57A-248F136563D9Q34468432-12DB9A1C-38B5-43B4-9CDC-39E6AF11DCDEQ34503941-2F429D26-D7CE-427E-B0D6-18CEC3AF8C5AQ34635017-19D8DA0A-68B0-4344-A81B-CDD4B5FF753CQ35162490-1BC027E0-0E17-4446-9BB2-0BB7ED11BEC0Q35319061-7DAAE600-EBD5-465D-9821-330C56B229EFQ35662983-6504C1AB-003D-494D-B83F-F54C24591CB8Q36254299-ABFBEB19-DDE8-47BB-9ED7-306CAD867CC6Q36268706-6686E8DA-E28A-4D7D-A707-55585978E3E6Q37190570-535CBC92-8CAF-4512-B26B-3E429A712B72Q37275719-651EECE9-96C2-4706-BD0C-D89F250C7D38Q38377249-A4E91587-898A-49DC-8A9E-2D6C58D8CC7CQ38423869-66E161B1-9A59-44FA-B24F-12F83F09025DQ38587601-E22B31A1-61B6-4CD9-A99E-04F3B8B8554CQ38610869-01AD2E50-54AD-46CA-AAD4-997D1F26243AQ38659439-0951DF0C-C522-4BFA-AEDC-12B5F072EDE6Q38812665-25423E6B-4C01-4DF6-956A-A3DC3E25060DQ38814563-C10B8F0B-B8F7-4AD4-B201-34462A19B947Q38876517-B3C49E5C-49D8-4B12-9A01-0CC223978AA2Q38962884-239A3AAA-4F9B-4ADA-87AE-1777F5E7CEB3Q38968213-8C04FAB3-3254-4EA0-8FA5-9407C654A68AQ38968219-0A4A4199-053F-4AA1-A449-8F0F2C6F0A88Q38994205-B10C8943-E24D-4156-AC99-A83F4027A2E9Q39057156-7D6FED3B-C55C-4E84-9AE8-4DE50D31FDB0Q39106371-E4ACA6FD-21B2-4F54-AE88-97AF69132BD0Q39320838-D880ACCA-02E2-4464-8ECC-053E924DB1C4Q40771944-9AEFC434-ECD4-4289-A2DB-83288E8C4A2BQ42695851-FAF2AEB8-5C9C-450F-BBDC-604AF580269DQ46826887-E235E4E9-2C7A-4CA1-B55B-A46686336C9BQ47264953-6E99ADE1-F09C-4A7B-9A64-5D8BAD4ADEF0
P2860
Proteogenomic database construction driven from large scale RNA-seq data.
description
2013 nî lūn-bûn
@nan
2013 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Proteogenomic database construction driven from large scale RNA-seq data.
@ast
Proteogenomic database construction driven from large scale RNA-seq data.
@en
type
label
Proteogenomic database construction driven from large scale RNA-seq data.
@ast
Proteogenomic database construction driven from large scale RNA-seq data.
@en
prefLabel
Proteogenomic database construction driven from large scale RNA-seq data.
@ast
Proteogenomic database construction driven from large scale RNA-seq data.
@en
P2093
P2860
P356
P1476
Proteogenomic database construction driven from large scale RNA-seq data.
@en
P2093
Clark Guest
Gennifer Merrihew
Natalie Castellana
Seong Won Cha
Sunghee Woo
P2860
P356
10.1021/PR400294C
P577
2013-07-17T00:00:00Z