A face in the crowd: recognizing peptides through database search
about
Quantitative affinity purification mass spectrometry: a versatile technology to study protein-protein interactionsComputational phosphoproteomics: from identification to localizationTrans-Proteomic Pipeline, a standardized data processing pipeline for large-scale reproducible proteomics informaticsOpen source libraries and frameworks for mass spectrometry based proteomics: a developer's perspectiveQuantitative proteomic analysis of histone modificationsCurrent 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 analyzersBuilding high-quality assay libraries for targeted analysis of SWATH MS data.Preprocessing and Analysis of LC-MS-Based Proteomic DataPlatforms and Pipelines for Proteomics Data Analysis and Management.Exosomal Proteome Profiling: A Potential Multi-Marker Cellular Phenotyping Tool to Characterize Hypoxia-Induced Radiation Resistance in Breast Cancer.N-terminal Proteomics Assisted Profiling of the Unexplored Translation Initiation Landscape in Arabidopsis thalianaUnravelling the proteomic profile of rice meiocytes during early meiosisExhaustive database searching for amino acid mutations in proteomes.JUMP: a tag-based database search tool for peptide identification with high sensitivity and accuracy.Proteomic analysis of colon and rectal carcinoma using standard and customized databasesreSpect: software for identification of high and low abundance ion species in chimeric tandem mass spectraBRG1 interacts with GLI2 and binds Mef2c gene in a hedgehog signalling dependent manner during in vitro cardiomyogenesisThe SEQUEST family tree.Using SEQUEST with theoretically complete sequence databasesPeptide identification by tandem mass spectrometry with alternate fragmentation modes.A proteomics search algorithm specifically designed for high-resolution tandem mass spectra.A chemical proteomics approach to profiling the ATP-binding proteome of Mycobacterium tuberculosis.Combining results of multiple search engines in proteomics.Neutron encoded labeling for peptide identification.Tiered Human Integrated Sequence Search Databases for Shotgun ProteomicsSoftware eyes for protein post-translational modifications.Mass spectrometry-driven phosphoproteomics: patterning the systems biology mosaic.Is label-free LC-MS/MS ready for biomarker discovery?TUBEs-Mass Spectrometry for Identification and Analysis of the Ubiquitin-Proteome.Proteogenomics of rare taxonomic phyla: A prospective treasure trove of protein coding genes.Proteogenomics: Key Driver for Clinical Discovery and Personalized Medicine.MSFragger: ultrafast and comprehensive peptide identification in mass spectrometry-based proteomicsIntegrating transcriptome and proteome profiling: Strategies and applications.Chemical Glycoproteomics.Learning score function parameters for improved spectrum identification in tandem mass spectrometry experiments.A degradation fragment of type X collagen is a real-time marker for bone growth velocity.Quality control in mass spectrometry-based proteomics.Doubling down on phosphorylation as a variable peptide modification.
P2860
Q26799971-114B4F8D-1142-4716-A10A-763E1E1C0AD9Q27005933-9365D3A5-E90B-45AC-BB97-67AE0F1D201BQ28646890-9D68B882-3859-48A2-9376-E1B50FFC0C25Q28660368-631A7D1A-244B-4E4D-B52F-FE53E186D3E6Q30375585-FE9E96BB-CFEA-4CC1-94BF-2B8CB056DECFQ30577060-A9187D1E-E27A-48BA-8CD6-E37FC3AD1304Q30621030-B6A3671B-09A2-4FEC-A623-5B8A6E19FF41Q30891496-2CC4C9CA-7EC1-447B-AE04-593D636A75EEQ31013864-51401518-80B4-45B7-8CAE-A87395ABE32FQ31148953-8F9EB246-0C1D-40AC-9E33-994C7C1B88C8Q33644570-D978BA97-E5E6-475C-8B57-9A05D53A3C2EQ33771026-B9887C3B-2954-4177-9878-FB1B7D7597F7Q33944134-CB119095-60E4-41FB-9F54-D77A2CDE3CB6Q34267246-9E76BFCE-D519-4D9B-A56C-3ACB0246C8A6Q34635037-010D4C30-9DD2-4F1E-B62C-9C2F3318E649Q35770780-C84AD6DE-D1F5-4E4C-8BE6-45A74A3CC738Q35792448-62354E1B-B908-4ED4-A678-B9830DD0D29FQ36093041-DEA3C8B8-E4B8-4157-8F7C-DE64E1B33D36Q36167004-D1E354FD-BA17-49EC-98CE-AA67F1987D85Q36167218-A41D984F-A57F-4173-98A2-34E2C653E3A2Q36211835-9F76794E-D8A4-4E01-A126-D6814F7D3B40Q36650680-ADECF5CD-7D96-4196-BA83-09F45439D135Q36910805-62B6D331-ED4C-4CDB-B220-04C72A6EA611Q37160902-AFE5C5A8-3975-4119-B3B6-D5E228C8DC9DQ37308204-377D0E09-4734-4756-9343-4F36E4021D66Q37395945-54785333-6B25-4CC6-84CD-ABCFC7834C3FQ38217001-E62E8058-1A06-4B70-BD7C-5671859793ADQ38217990-1049F3FC-FC63-4B64-AC6E-5A20B10B8BF2Q38345838-23E5E536-760B-42C4-B3DF-FB138D040C2AQ38442888-96616780-EBF1-47AA-B573-459B76A5432DQ38698565-6D2D065F-8BB9-4289-BBB6-CB22F08BD2B4Q38743141-00199CAF-218A-4D86-9F18-A0D0D48945D2Q38844572-2A69628B-2E78-4515-9867-80E249395FA0Q38876517-FCF1E5C7-2712-48F5-9971-C1B60A344359Q39037656-42567F1A-26F0-4B75-9060-02A98523EFB3Q42324063-5D2954EF-0524-4EB2-A29D-D3B378228563Q46111572-77B2FE8F-8032-4450-8951-8F586859149EQ46153154-B4242E93-B1BB-41EA-8261-E843EB5AD70BQ50642417-9A25F69C-786D-4500-B30F-4349D16C1F81
P2860
A face in the crowd: recognizing peptides through database search
description
2011 nî lūn-bûn
@nan
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
2011年论文
@zh
2011年论文
@zh-cn
name
A face in the crowd: recognizing peptides through database search
@ast
A face in the crowd: recognizing peptides through database search
@en
type
label
A face in the crowd: recognizing peptides through database search
@ast
A face in the crowd: recognizing peptides through database search
@en
prefLabel
A face in the crowd: recognizing peptides through database search
@ast
A face in the crowd: recognizing peptides through database search
@en
P2860
P50
P356
P1476
A face in the crowd: recognizing peptides through database search
@en
P2093
Brian C Searle
P2860
P304
R111.009522
P356
10.1074/MCP.R111.009522
P577
2011-08-29T00:00:00Z