Retention time alignment algorithms for LC/MS data must consider non-linear shifts. - Wikidata - awgldk - TriplyDB

Retention time alignment algorithms for LC/MS data must consider non-linear shifts.

Retention time alignment algorithms for LC/MS data must consider non-linear shifts.

http://www.wikidata.org/entity/Q33403711

about

Proteomics, lipidomics, metabolomics: a mass spectrometry tutorial from a computer scientist's point of view xMSanalyzer: automated pipeline for improved feature detection and downstream analysis of large-scale, non-targeted metabolomics data Maximizing peptide identification events in proteomic workflows using data-dependent acquisition (DDA).Profile-Based LC-MS data alignment--a Bayesian approach.Drift time-specific collision energies enable deep-coverage data-independent acquisition proteomics.Label-free quantification in ion mobility-enhanced data-independent acquisition proteomics.MetMatch: A Semi-Automated Software Tool for the Comparison and Alignment of LC-HRMS Data from Different Metabolomics Experiments Visualization, Quantification, and Alignment of Spectral Drift in Population Scale Untargeted Metabolomics Data.Generic workflow for quality assessment of quantitative label-free LC-MS analysis.Smith-Waterman peak alignment for comprehensive two-dimensional gas chromatography-mass spectrometry.A new method for alignment of LC-MALDI-TOF data Retention time alignment of LC/MS data by a divide-and-conquer algorithm.EasyLCMS: an asynchronous web application for the automated quantification of LC-MS data.Combining peak- and chromatogram-based retention time alignment algorithms for multiple chromatography-mass spectrometry datasets An adaptive alignment algorithm for quality-controlled label-free LC-MS.Incorporating peak grouping information for alignment of multiple liquid chromatography-mass spectrometry datasets Warpgroup: increased precision of metabolomic data processing by consensus integration bound analysis A Two-stage Peak Alignment Algorithm for Two-Dimensional Gas Chromatography Time-of-Flight Mass Spectrometry-Based Metabolomics.Current technological challenges in biomarker discovery and validation.Joint Bounding of Peaks Across Samples Improves Differential Analysis in Mass Spectrometry-Based Metabolomics.Peek a peak: a glance at statistics for quantitative label-free proteomics.Comparative mass spectrometry-based metabolomics strategies for the investigation of microbial secondary metabolites.Predictive chromatography of peptides and proteins as a complementary tool for proteomics.Protein biomarker quantification by mass spectrometry.Assigning significance in label-free quantitative proteomics to include single-peptide-hit proteins with low replicates.A combinatorial approach to the peptide feature matching problem for label-free quantification.CAMS-RS: Clustering Algorithm for Large-Scale Mass Spectrometry Data Using Restricted Search Space and Intelligent Random Sampling.

P2860

Q28655356-058AC90A-5B6C-41FB-B9F1-5F95520DE865 Q30586234-72CD3593-B81B-41CA-92F9-F3976F4FECC7 Q30652771-C7FE076E-55B9-4C21-91A8-DC4288A63F16 Q30660549-8AF73600-A4C1-4CEB-855D-ED3F50DDF443 Q30714634-F41C995D-983D-4D85-B9B3-C7E018E48347 Q31062688-BC0D35CA-3583-4A5C-B313-FBB0C3414664 Q31141580-F1E11429-772C-4BDD-8E7B-094B2E9B2992 Q31162552-268DCD8A-C9A9-4919-8C4E-FAEBDF44D1BA Q33813841-FA61EEAC-D421-494B-A9AB-99B0E29F7E44 Q33933704-87892FBF-4D7C-4D5A-9D9D-F9EF4C64BE06 Q34099872-D0E70872-8AFE-4C31-B681-96E539A4C0A2 Q34148727-7F000110-182F-4AFE-8238-630FCBB8DE32 Q34376126-36182765-348F-4B02-BD41-3EFF71F48DF0 Q34392856-B5FC261F-FA52-4657-BCB9-E620986F7E84 Q34544039-2ECBAA2F-EDE2-4C95-94A7-209A446FBF6C Q35554842-18CD04C0-DCA8-41C2-AFF3-9C97EBD407A1 Q35794630-222EE879-CC1C-4E46-8507-0274DF5E1513 Q37655163-9C25ACA2-97EE-4E96-A6C9-6CD8AEC3F937 Q37672093-88A0640B-7AF8-49D7-AB47-F2EB5EF06BC2 Q37717073-C7AA7572-E317-4B92-B8D8-4053F854855B Q37727197-79208796-805A-486B-9861-EAC1AA80092A Q38823592-C09172FF-2376-4D81-A37F-4C2632B7EC5C Q38897634-FBABC481-5031-4E46-AD55-5438BC4D4E79 Q39913983-EF184837-6692-4F96-AD24-68E55CADD343 Q41191647-16A80192-3AD2-4247-892D-342C0BD86DA4 Q44648932-973A083D-8450-42B0-8CC1-730AE0A9C7A8 Q51128848-628BFCE8-E495-47E2-BFB1-8C9D7C18E9CF

P2860

Retention time alignment algorithms for LC/MS data must consider non-linear shifts.

http://www.wikidata.org/entity/Q33403711

description

2009 nî lūn-bûn

@nan

2009 թուականի Յունուարին հրատարակուած գիտական յօդուած

@hyw

2009 թվականի հունվարին հրատարակված գիտական հոդված

@hy

2009年の論文

@ja

2009年論文

@yue

2009年論文

@zh-hant

2009年論文

@zh-hk

2009年論文

@zh-mo

2009年論文

@zh-tw

2009年论文

@wuu

name

Retention time alignment algorithms for LC/MS data must consider non-linear shifts.

@ast

Retention time alignment algorithms for LC/MS data must consider non-linear shifts.

@en

type

label

Retention time alignment algorithms for LC/MS data must consider non-linear shifts.

@ast

Retention time alignment algorithms for LC/MS data must consider non-linear shifts.

@en

prefLabel

Retention time alignment algorithms for LC/MS data must consider non-linear shifts.

@ast

Retention time alignment algorithms for LC/MS data must consider non-linear shifts.

@en

P1433

Q33403711-760FC153-3B31-4D05-8421-5895E1B12938

P1476

Q33403711-B272684E-2A2F-4FB0-A901-EA37B4FB5B4D

P2093

Q33403711-4FD2F4B9-4179-474D-9218-2AF27508EEB0

Q33403711-578162B9-D81E-4543-854B-248676C627E1

Q33403711-5FB5DF72-ECEA-4D3A-92F9-1F7052F7BAC6

Q33403711-64EB4E1D-C040-4C1A-910B-BE271D223E7E

Q33403711-80F41471-21A1-4E0B-926B-C318F0FABDC2

Q33403711-910E93D3-64CE-448C-9F89-ACF1CAF4279A

Q33403711-B10F0F29-B588-4F7F-B983-1AE2A44E1624

Q33403711-E8FC59F5-7998-440A-9A6D-FAD6D62079C9

Q33403711-EAE426C7-77DB-46E0-BFF5-7286DBA4132D

Q33403711-EF55C085-BEFE-4309-8CB6-A1C62CD4F7E2

P304

Q33403711-52488E7C-1991-4F44-8474-57D15E0F6DDF

P31

Q33403711-FA38F3A4-B23A-4A86-B813-7418253A063A

P356

Q33403711-D7C997EE-A870-4946-9C86-48B0DA1C4B71

P407

Q33403711-1E222EDD-D916-4CB5-8AB1-AA61EAA3512B

P433

Q33403711-5D6779AC-9B51-4C80-8A5E-DC71EB4BEBD0

P478

Q33403711-9DCE34D3-0463-43C8-A267-16014352ABFB

P50

Q33403711-350F5876-2A5E-42C7-AE85-979C2DA7ED33

Q33403711-D98346AB-E35E-49A3-A44A-B9CE601E993E

P577

Q33403711-17112641-104D-4A6F-82B8-1B001045F460

P5875

Q33403711-C1C37880-48F7-444C-9341-9F6E14C6D355

P698

Q33403711-0B72B494-CD25-457E-B629-61E565267BA6

P356

P1433

P1476

Retention time alignment algorithms for LC/MS data must consider non-linear shifts.

@en

P2093

Arno Fritsch

http://www.w3.org/2001/XMLSchema#string

Barbara Sitek

http://www.w3.org/2001/XMLSchema#string

Christian Stephan

http://www.w3.org/2001/XMLSchema#string

Daniel C Chamrad

http://www.w3.org/2001/XMLSchema#string

Helmut E Meyer

http://www.w3.org/2001/XMLSchema#string

Kai Stühler

http://www.w3.org/2001/XMLSchema#string

Katharina Podwojski

http://www.w3.org/2001/XMLSchema#string

Katja Ickstadt

http://www.w3.org/2001/XMLSchema#string

Wolfgang Paul

http://www.w3.org/2001/XMLSchema#string

Wolfgang Urfer

http://www.w3.org/2001/XMLSchema#string

P304

758-764

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1093/BIOINFORMATICS/BTP052

http://www.w3.org/2001/XMLSchema#string

P407

P433

6

http://www.w3.org/2001/XMLSchema#string

P478

25

http://www.w3.org/2001/XMLSchema#string

P50

Jörg Rahnenführer

P577

2009-01-28T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P5875

23956834

http://www.w3.org/2001/XMLSchema#string

P698

19176558

http://www.w3.org/2001/XMLSchema#string