• No results found

Metabolomics of biofluids : from analytical tools to data interpretation Nevedomskaya, E.

N/A
N/A
Protected

Academic year: 2021

Share "Metabolomics of biofluids : from analytical tools to data interpretation Nevedomskaya, E."

Copied!
2
0
0

Bezig met laden.... (Bekijk nu de volledige tekst)

Hele tekst

(1)

Metabolomics of biofluids : from analytical tools to data interpretation

Nevedomskaya, E.

Citation

Nevedomskaya, E. (2011, November 23). Metabolomics of biofluids : from analytical tools to data interpretation. Retrieved from

https://hdl.handle.net/1887/18135

Version: Corrected Publisher’s Version

License: Licence agreement concerning inclusion of doctoral thesis in the Institutional Repository of the

University of Leiden

Downloaded from: https://hdl.handle.net/1887/18135

Note: To cite this publication please use the final published version (if applicable).

(2)

PROPOSITIONS belonging to the thesis

Metabolomics of biofluids: from analytical tools to data interpretation

1. The reproducibility of migration time is a serious issue in capillary electrophoresis but it can be conquered (this thesis).

2. It is hard to imagine more opposite processes than prolonged life and accelerated aging, yet similar metabolic processes might be involved (this thesis).

3. Carefully designing the study prior to the experiment enriches the results of a metabolomics study and its interpretation (this thesis).

4. Different analytical technologies uncover different biological processes (this thesis).

5. The power of statistics is easy to abuse. Both non-statisticians, who use statistical tools as “black boxes”, and statisticians, who create complex models that are impossible to criticize, do it.

6. The human body contains ten times more bacteria than human cells: the impact they have on many processes ranging from sensitivity to paracetamol to hyperactivity in children deserves more attention.

7. Current metabolic, as well as genetic and protein, maps provide information about the correlation between their components, but not about the causality of the events in biological systems. (Science 2002, 295:1662-1664)

8. The lack of agreement for the total number of human metabolites shows the gap between the fields of genomics and metabolomics.

9. People do not think about others as a mosaic of characteristics: instead we see each person as roughly good or roughly bad.

10. Well-behaved women seldom make history (Laurel Ulrich).

11. Thursday is better than Sunday. Because on Sunday tomorrow is Monday and on Thursday tomorrow is Friday.

12. Oost west……… Moscow is the best.

Referenties

GERELATEERDE DOCUMENTEN

ABI: application binary interface; API: application programming interface; AWS: Amazon web services; CI: continuous integra- tion; CPU: central processing unit; CRE: cloud

With the use of various statistical methods available for the analysis of such a design it is possible to go further and look at the different levels of biological variation present

samples: application to accelerated aging TTD mice 65 Chapter 4 Metabolic profiling of accelerated aging ERCC1 d/- mice 83. PART III Application to

These factors have been shown to have a large effect on metabolic profiles.(4;5) It also has been shown that the differences due to the fact that samples are collected in

License: Licence agreement concerning inclusion of doctoral thesis in the Institutional Repository of the University of Leiden. Downloaded

Nomenclature in Evaluation of Analytical Methods Including Detection and Quantification Capabilities (Iupac Recommendations 1995). Automated GC-MS analysis of free amino acids

Previously published algorithm was developed for alignment of LC–MS and LC–MS/MS data generated by two different mass analyzers (for example, high resolution data of FTICR and

As a core organiser of the launch of the node for FAIR data 33 in metabolomics as part of the goFAIR initia- tive, the PhenoMeNal consortium made another necessary step to