Conception, Implementation and Operation of Large-Scale Metabolic Phenotyping Centres: Phenome Centres

Author(s):  
Frank W. Bonner ◽  
Lynn Maslen ◽  
John C. Lindon ◽  
Matthew R. Lewis ◽  
Jeremy K. Nicholson
2015 ◽  
Vol 14 (6) ◽  
pp. 2714-2721 ◽  
Author(s):  
Nicola Gray ◽  
Matthew R. Lewis ◽  
Robert S. Plumb ◽  
Ian D. Wilson ◽  
Jeremy K. Nicholson

2019 ◽  
Vol 35 (24) ◽  
pp. 5359-5360 ◽  
Author(s):  
Caroline J Sands ◽  
Arnaud M Wolfer ◽  
Gonçalo D S Correia ◽  
Noureddin Sadawi ◽  
Arfan Ahmed ◽  
...  

Abstract Summary As large-scale metabolic phenotyping studies become increasingly common, the need for systemic methods for pre-processing and quality control (QC) of analytical data prior to statistical analysis has become increasingly important, both within a study, and to allow meaningful inter-study comparisons. The nPYc-Toolbox provides software for the import, pre-processing, QC and visualization of metabolic phenotyping datasets, either interactively, or in automated pipelines. Availability and implementation The nPYc-Toolbox is implemented in Python, and is freely available from the Python package index https://pypi.org/project/nPYc/, source is available at https://github.com/phenomecentre/nPYc-Toolbox. Full documentation can be found at http://npyc-toolbox.readthedocs.io/ and exemplar datasets and tutorials at https://github.com/phenomecentre/nPYc-toolbox-tutorials.


2014 ◽  
Vol 86 (19) ◽  
pp. 9887-9894 ◽  
Author(s):  
Anthony C. Dona ◽  
Beatriz Jiménez ◽  
Hartmut Schäfer ◽  
Eberhard Humpfer ◽  
Manfred Spraul ◽  
...  

2009 ◽  
Vol 81 (12) ◽  
pp. 4847-4856 ◽  
Author(s):  
Leon M. Smith ◽  
Anthony D. Maher ◽  
Elizabeth J. Want ◽  
Paul Elliott ◽  
Jeremiah Stamler ◽  
...  

2007 ◽  
Vol 28 (9) ◽  
pp. 856-865 ◽  
Author(s):  
Åse Fredriksen ◽  
Klaus Meyer ◽  
Per Magne Ueland ◽  
Stein Emil Vollset ◽  
Tom Grotmol ◽  
...  

2017 ◽  
Vol 89 (21) ◽  
pp. 11405-11412 ◽  
Author(s):  
Andrea Rodriguez-Martinez ◽  
Joram M. Posma ◽  
Rafael Ayala ◽  
Nikita Harvey ◽  
Beatriz Jimenez ◽  
...  

2017 ◽  
Vol 16 (4) ◽  
pp. 1646-1658 ◽  
Author(s):  
Elena Chekmeneva ◽  
Gonçalo dos Santos Correia ◽  
Queenie Chan ◽  
Anisha Wijeyesekera ◽  
Adrienne Tin ◽  
...  

2016 ◽  
Vol 88 (18) ◽  
pp. 9004-9013 ◽  
Author(s):  
Matthew R. Lewis ◽  
Jake T. M. Pearce ◽  
Konstantina Spagou ◽  
Martin Green ◽  
Anthony C. Dona ◽  
...  

1999 ◽  
Vol 173 ◽  
pp. 243-248
Author(s):  
D. Kubáček ◽  
A. Galád ◽  
A. Pravda

AbstractUnusual short-period comet 29P/Schwassmann-Wachmann 1 inspired many observers to explain its unpredictable outbursts. In this paper large scale structures and features from the inner part of the coma in time periods around outbursts are studied. CCD images were taken at Whipple Observatory, Mt. Hopkins, in 1989 and at Astronomical Observatory, Modra, from 1995 to 1998. Photographic plates of the comet were taken at Harvard College Observatory, Oak Ridge, from 1974 to 1982. The latter were digitized at first to apply the same techniques of image processing for optimizing the visibility of features in the coma during outbursts. Outbursts and coma structures show various shapes.


1994 ◽  
Vol 144 ◽  
pp. 29-33
Author(s):  
P. Ambrož

AbstractThe large-scale coronal structures observed during the sporadically visible solar eclipses were compared with the numerically extrapolated field-line structures of coronal magnetic field. A characteristic relationship between the observed structures of coronal plasma and the magnetic field line configurations was determined. The long-term evolution of large scale coronal structures inferred from photospheric magnetic observations in the course of 11- and 22-year solar cycles is described.Some known parameters, such as the source surface radius, or coronal rotation rate are discussed and actually interpreted. A relation between the large-scale photospheric magnetic field evolution and the coronal structure rearrangement is demonstrated.


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