| no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
| 1 |
A causal network analysis in an observational study identifies metabolomics pathways influencing plasma triglyceride levels
|
Yazdani, Azam
|
|
2016
|
12 |
6 |
p. 1-7
|
article
|
| 2 |
Altered plasma acylcarnitine and amino acid profiles in type 2 diabetic kidney disease
|
Chuang, Wen-Han
|
|
2016
|
12 |
6 |
p. 1-11
|
article
|
| 3 |
Fruit metabolite networks in engineered and non-engineered tomato genotypes reveal fluidity in a hormone and agroecosystem specific manner
|
Fatima, Tahira
|
|
2016
|
12 |
6 |
p. 1-15
|
article
|
| 4 |
1H NMR based metabolomic approach to monitoring of the head and neck cancer treatment toxicity
|
Boguszewicz, Ł.
|
|
2016
|
12 |
6 |
p. 1-15
|
article
|
| 5 |
Identification of serum metabolic markers for diagnosis of women with dormant genital tuberculosis
|
Subramani, Elavarasan
|
|
2016
|
12 |
6 |
p. 1-9
|
article
|
| 6 |
Improved metabolite identification with MIDAS and MAGMa through MS/MS spectral dataset-driven parameter optimization
|
Verdegem, Dries
|
|
2016
|
12 |
6 |
p. 1-16
|
article
|
| 7 |
LacaScore: a novel plasma sample quality control tool based on ascorbic acid and lactic acid levels
|
Trezzi, Jean-Pierre
|
|
2016
|
12 |
6 |
p. 1-11
|
article
|
| 8 |
LC–MS-based metabolome analysis on steroid metabolites from the starfish Patiria (=Asterina) pectinifera in conditions of active feeding and stresses
|
Popov, Roman S.
|
|
2016
|
12 |
6 |
p. 1-17
|
article
|
| 9 |
Metabolic profile of Mycobacterium smegmatis reveals Mce4 proteins are relevant for cell wall lipid homeostasis
|
Santangelo, María Paz
|
|
2016
|
12 |
6 |
p. 1-11
|
article
|
| 10 |
Metabolic profiling of maternal urine can aid clinical management of gestational diabetes mellitus
|
Pinto, Joana
|
|
2016
|
12 |
6 |
p. 1-12
|
article
|
| 11 |
NMR analysis of the CSF and plasma metabolome of rigorously matched amyotrophic lateral sclerosis, Parkinson’s disease and control subjects
|
Wu, Junfang
|
|
2016
|
12 |
6 |
p. 1-13
|
article
|
| 12 |
Serum metabolomic markers for traumatic brain injury: a mouse model
|
Bahado-Singh, Ray O.
|
|
2016
|
12 |
6 |
p. 1-12
|
article
|
| 13 |
Where imaging mass spectrometry stands: here are the numbers
|
Palmer, Andrew
|
|
2016
|
12 |
6 |
p. 1-3
|
article
|
Journal description