Optimizing 2D gas chromatography mass spectrometry for robust tissue, serum and urine metabolite profiling. - Wikidata - awgldk - TriplyDB

Optimizing 2D gas chromatography mass spectrometry for robust tissue, serum and urine metabolite profiling.

Optimizing 2D gas chromatography mass spectrometry for robust tissue, serum and urine metabolite profiling.

http://www.wikidata.org/entity/Q37627939

about

Proteo-metabolomics reveals compensation between ischemic and non-injured contralateral kidneys after reperfusion.

P2860

Q54961171-E96F2066-9D2F-4DB1-A828-E6DD516171F0

P2860

Optimizing 2D gas chromatography mass spectrometry for robust tissue, serum and urine metabolite profiling.

http://www.wikidata.org/entity/Q37627939

description

article científic

@ca

article scientifique

@fr

articolo scientifico

@it

artigo científico

@pt

bilimsel makale

@tr

scientific article published on 07 January 2017

@en

vedecký článok

@sk

vetenskaplig artikel

@sv

videnskabelig artikel

@da

vědecký článek

@cs

name

Optimizing 2D gas chromatograp ...... nd urine metabolite profiling.

@en

Optimizing 2D gas chromatograp ...... nd urine metabolite profiling.

@nl

type

label

Optimizing 2D gas chromatograp ...... nd urine metabolite profiling.

@en

Optimizing 2D gas chromatograp ...... nd urine metabolite profiling.

@nl

prefLabel

Optimizing 2D gas chromatograp ...... nd urine metabolite profiling.

@en

Optimizing 2D gas chromatograp ...... nd urine metabolite profiling.

@nl

P1433

Q37627939-23F56EE7-DF00-4FF0-A4AB-05E86FFCA2F7

P1476

Q37627939-2A846107-B9A0-4E79-AFE6-94472827CB68

P2093

Q37627939-11B1C37B-3F86-412B-B900-0B06899CB53F

Q37627939-138F04D6-648B-47B9-A0BF-C564668D047E

Q37627939-2BCA7F91-DD7F-49F4-A5A0-658B6B765625

Q37627939-45A4143A-1A2D-4817-B65C-1DBF16436E8F

Q37627939-4D7A0485-1E36-4C14-A9BD-4BEB14E83393

Q37627939-9609A4E2-0895-4E54-861D-55E280945D16

Q37627939-E5D99F10-6876-440C-8B60-FF4535CCF0CA

P2860

Q37627939-0588BD03-3EB4-4EFB-B700-87D8EEE51983

Q37627939-36F9A848-463E-4D40-B2CE-5CC5EEFD1A13

Q37627939-3B91BE9D-812D-4220-AC9E-89138E4E479A

Q37627939-450C929E-1408-4E8B-A732-AF899A9D717D

Q37627939-4E838FD9-B6BF-4CA8-A096-DE482C47F695

Q37627939-788554F1-4678-4BEF-A658-AD34A68E23B2

Q37627939-87A2B7D7-05D9-4F79-81B9-5C7EDF674C3F

Q37627939-8D2B6DC4-13F3-491F-AF50-C3F7B38AD5D8

Q37627939-9C728F9B-D6FE-4C49-B418-F7ACD38350F5

Q37627939-A75E1B27-B63C-44DA-857B-1CFFCCA96798

P304

Q37627939-077F1B53-B345-4C03-B875-5289EAB2D14F

P31

Q37627939-83EF1F1D-9AB2-4797-9076-0424931FF03E

P356

Q37627939-51E17383-7430-4867-9709-DA75608F8620

P407

Q37627939-B4FCB229-AAFE-4A1C-9992-663B8829EAD1

P478

Q37627939-E2A2BA03-75EA-485A-9FF6-BDB28C47F973

P50

Q37627939-6C9F0038-E354-4C1E-AF6B-B18B6EDDBE26

P577

Q37627939-A02B8F66-C99E-48F9-9350-B829555138D3

P698

Q37627939-D2252FAF-601C-48C0-BCF1-79B29178C8A6

P932

Q37627939-64908792-A151-45A6-9FE8-6783C5846C50

P356

J.TALANTA.2017.01.003

P1433

P1476

Optimizing 2D gas chromatograp ...... nd urine metabolite profiling.

@en

P2093

Alan Northage

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

Alexander Reim

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

Dianne Jackson

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

Honglei Huang

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

Ian Parry

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

Philip D Charles

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

Zhanru Yu

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

P2860

Hallmarks of Cancer: The Next Generation

Spectral deconvolution for gas chromatography mass spectrometry-based metabolomics: current status and future perspectives

Defining the metabolome: size, flux, and regulation

Improving the quality of biomarker candidates in untargeted metabolomics via peak table-based alignment of comprehensive two-dimensional gas chromatography-mass spectrometry data.

A peaklet-based generic strategy for the untargeted analysis of comprehensive two-dimensional gas chromatography mass spectrometry data sets.

Development of GCxGC/TOF-MS metabolomics for use in ecotoxicological studies with invertebrates.

An automated GCxGC-TOF-MS protocol for batch-wise extraction and alignment of mass isotopomer matrixes from differential 13C-labelling experiments: a case study for photoautotrophic-mixotrophic grown Chlamydomonas reinhardtii cells.

An efficient post-hoc integration method improving peak alignment of metabolomics data from GCxGC/TOF-MS.

Comparison of GC-MS and GC×GC-MS in the analysis of human serum samples for biomarker discovery.

MetPP: a computational platform for comprehensive two-dimensional gas chromatography time-of-flight mass spectrometry-based metabolomics.

P304

685-691

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

P31

scholarly article

P356

10.1016/J.TALANTA.2017.01.003

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

P407

P478

165

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

P50

Benedikt M. Kessler

P577

2017-01-07T00:00:00Z

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

P698

28153317

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

P932

5294743

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