Signal maps for mass spectrometry-based comparative proteomics.
about
Bioinformatics strategies for lipidomics analysis: characterization of obesity related hepatic steatosisThe proximal signaling network of the BCR-ABL1 oncogene shows a modular organizationAssessing bias in experiment design for large scale mass spectrometry-based quantitative proteomicsIdentification of small molecules that disrupt signaling between ABL and its positive regulator RIN1Quantitative Metaproteomics and Activity-Based Probe Enrichment Reveals Significant Alterations in Protein Expression from a Mouse Model of Inflammatory Bowel Disease.Enhanced peptide quantification using spectral count clustering and cluster abundance.Carbon Nanotubes in Biology and Medicine: In vitro and in vivo Detection, Imaging and Drug Delivery.Maximizing peptide identification events in proteomic workflows using data-dependent acquisition (DDA).Profile-Based LC-MS data alignment--a Bayesian approach.A flexible statistical model for alignment of label-free proteomics data--incorporating ion mobility and product ion informationIntelligent data acquisition blends targeted and discovery methods.Difference detection in LC-MS data for protein biomarker discovery.Mascot file parsing and quantification (MFPaQ), a new software to parse, validate, and quantify proteomics data generated by ICAT and SILAC mass spectrometric analyses: application to the proteomics study of membrane proteins from primary human endoA geometric approach for the alignment of liquid chromatography-mass spectrometry data.A dynamic programming approach for the alignment of signal peaks in multiple gas chromatography-mass spectrometry experiments.Critical assessment of alignment procedures for LC-MS proteomics and metabolomics measurements.LC-MSsim--a simulation software for liquid chromatography mass spectrometry dataPost analysis data acquisition for the iterative MS/MS sampling of proteomics mixturesIDEAL-Q, an automated tool for label-free quantitation analysis using an efficient peptide alignment approach and spectral data validation.DeepQuanTR: MALDI-MS-based label-free quantification of proteins in complex biological samples.Repeatability and reproducibility in proteomic identifications by liquid chromatography-tandem mass spectrometry.Global phosphoproteomics reveals crosstalk between Bcr-Abl and negative feedback mechanisms controlling Src signaling.Discussion on common data analysis strategies used in MS-based proteomics.LC-MS Based Detection of Differential Protein Expression.Network based transcription factor analysis of regenerating axolotl limbsPolyAlign: A Versatile LC-MS Data Alignment Tool for Landmark-Selected and -Automated Use.msCompare: a framework for quantitative analysis of label-free LC-MS data for comparative candidate biomarker studies.Using a spike-in experiment to evaluate analysis of LC-MS data.Combining peak- and chromatogram-based retention time alignment algorithms for multiple chromatography-mass spectrometry datasetsQuantitative strategies to fuel the merger of discovery and hypothesis-driven shotgun proteomics.Phosphorylation of the ATP-binding loop directs oncogenicity of drug-resistant BCR-ABL mutantsImage analysis tools and emerging algorithms for expression proteomics.Tyrosine phosphorylation of RAS by ABL allosterically enhances effector bindingGlucose deprivation activates a metabolic and signaling amplification loop leading to cell deathMetabolomic approaches to phenotype characterization and applications to complex diseases.Accurate mass measurements in proteomics.Informatics for peptide retention properties in proteomic LC-MS.Comparative LC-MS: a landscape of peaks and valleys.PEPPeR, a platform for experimental proteomic pattern recognition.Systems level modeling of the cell cycle using budding yeast.
P2860
Q21202801-ACA84E22-623A-4540-A9C1-E961AA77F39AQ24294830-3F29E9E9-DA8C-4F43-8283-3127E38421BDQ28235692-D8DD4B6E-202E-4072-9D73-72440BA08222Q28545055-00C999F0-1E76-46DB-AE40-95F2048AEFE6Q29169153-E10DBD66-C117-4B9D-8DC0-2FA366509217Q30429321-C16D8643-2106-4C67-A97A-8114A95DF6C8Q30483216-2C6AF0A5-F66F-440A-89F1-6B22EEE27594Q30652771-E781B22B-A3B9-4509-A089-8C4B7A333227Q30660549-4157AE4D-6734-4E09-9B28-CB9FD936458EQ30716329-086524FC-DB27-4540-981D-613CB08B05BBQ30773676-281A6EB3-D9CB-43C9-84F2-B5B869FB90DCQ31094462-F9F3AEAD-5DD2-415A-BDE9-0A3D431A34F0Q31113970-05E0AE7E-FC40-4386-9CC3-84FF13B3A06AQ31119518-37DFC7B2-43B1-45AE-9C5D-99A9EFC5BBE9Q33304061-6ACD6305-1215-4CB3-AB78-514A20C9BDB5Q33369565-CF901368-3E93-494F-BCDA-C5659ADF4381Q33374624-E4083433-FB6D-4FBE-95C9-3A789F3BFC16Q33414212-C38C45D0-A67A-4269-B4E2-33AD71CFF985Q33502940-16BCFFD7-9A0F-4055-A649-B842745133A2Q33573770-DDCD46FF-F291-450C-A14D-A4B943785C98Q33639352-AC094B24-87DC-40FC-B5C4-E834EE8AA1D6Q33753325-42BDFD63-6F2C-4743-AA07-8E0E53406A99Q33795085-14BA9EFA-F2C7-4864-BEE9-B93D118D3A92Q33841578-A8B46B40-669A-458C-8130-3383403F7C90Q33850285-E30955C5-11B9-4BFB-B366-5DE8EB3F6E1CQ34074727-4A6EEA44-2C7B-4D37-8EC6-EA7E49AED912Q34154113-26CA7F21-6581-44DC-BE90-9BA1F7C379DDQ34173486-3E894F31-24AD-4CAA-BA78-76D740AF121EQ34392856-0F1B0885-C3F4-4D83-90EA-EBE9D85D3B9FQ35017506-E5BC824C-0A5D-44EB-8DCE-75125CFDEE9DQ35221149-DAC16A1F-DD0C-4FA0-B41F-6FD9F82AA550Q35671298-AFE6DDAE-866A-4B17-BCA1-D2C329F5696EQ35997996-11B115D2-C91E-4392-81F6-EA58ED126AF1Q36096600-6B975C07-0F61-4E85-844E-4844C4DB2C20Q36528882-B48A54C6-F36A-437B-957A-922DFDA5B369Q36890553-389E5F8F-F6E1-4443-9C61-D5811399CDD2Q37063562-B85D59A9-B436-4767-8D4F-BD0AD7545C3DQ37093728-64F54C2C-C5F4-4A0A-B78A-9C73D7195287Q37113905-AA94CE72-5F45-49A7-AAAD-28B3C86E1EF2Q37175944-AAF22D51-8102-4E57-9C68-74B58B445297
P2860
Signal maps for mass spectrometry-based comparative proteomics.
description
2005 nî lūn-bûn
@nan
2005年の論文
@ja
2005年学术文章
@wuu
2005年学术文章
@zh
2005年学术文章
@zh-cn
2005年学术文章
@zh-hans
2005年学术文章
@zh-my
2005年学术文章
@zh-sg
2005年學術文章
@yue
2005年學術文章
@zh-hant
name
Signal maps for mass spectrometry-based comparative proteomics.
@en
Signal maps for mass spectrometry-based comparative proteomics.
@nl
type
label
Signal maps for mass spectrometry-based comparative proteomics.
@en
Signal maps for mass spectrometry-based comparative proteomics.
@nl
prefLabel
Signal maps for mass spectrometry-based comparative proteomics.
@en
Signal maps for mass spectrometry-based comparative proteomics.
@nl
P2093
P2860
P50
P1476
Signal maps for mass spectrometry-based comparative proteomics.
@en
P2093
Amanda Paulovich
Amol Prakash
Heidi Zhang
Jeffrey Whiteaker
Mark Flory
Parag Mallick
P2860
P304
P356
10.1074/MCP.M500133-MCP200
P577
2005-11-03T00:00:00Z