Imperial College London
Alternate

ProfessorZoltanTakats

Faculty of Medicine, Department of Metabolism, Digestion and Reproduction

Professor of Analytical Chemistry
 
 
 
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Contact

 

+44 (0)20 7594 2760z.takats

 
 
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Location

 

Sir Alexander Fleming BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Veselkov:2018:10.1038/s41598-018-22499-z,
author = {Veselkov, KA and Sleeman, J and Claude, E and Vissers, J and Galea, D and Mroz, A and Laponogov, I and Towers, M and Tonge, R and Mirnezami, R and Takats, Z and Nicholson, J and Langridge, J},
doi = {10.1038/s41598-018-22499-z},
journal = {Scientific Reports},
title = {BASIS: High-performance bioinformatics platform for processing of large-scale mass spectrometry imaging data in chemically augmented histology},
url = {http://dx.doi.org/10.1038/s41598-018-22499-z},
volume = {8},
year = {2018}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Mass Spectrometry Imaging (MSI) holds significant promise in augmenting digital histopathologic analysis by generating highly robust big data about the metabolic, lipidomic and proteomic molecular content of the samples. In the process, a vast quantity of unrefined data, that can amount to several hundred gigabytes per tissue section, is produced. Managing, analysing and interpreting this data is a significant challenge and represents a major barrier to the translational application of MSI. Existing data analysis solutions for MSI rely on a set of heterogeneous bioinformatics packages that are not scalable for the reproducible processing of large-scale (hundreds to thousands) biological sample sets. Here, we present a computational platform (pyBASIS) capable of optimized and scalable processing of MSI data for improved information recovery and comparative analysis across tissue specimens using machine learning and related pattern recognition approaches. The proposed solution also provides a means of seamlessly integrating experimental laboratory data with downstream bioinformatics interpretation/analyses, resulting in a truly integrated system for translational MSI.
AU  - Veselkov,KA
AU  - Sleeman,J
AU  - Claude,E
AU  - Vissers,J
AU  - Galea,D
AU  - Mroz,A
AU  - Laponogov,I
AU  - Towers,M
AU  - Tonge,R
AU  - Mirnezami,R
AU  - Takats,Z
AU  - Nicholson,J
AU  - Langridge,J
DO  - 10.1038/s41598-018-22499-z
PY  - 2018///
SN  - 2045-2322
TI  - BASIS: High-performance bioinformatics platform for processing of large-scale mass spectrometry imaging data in chemically augmented histology
T2  - Scientific Reports
UR  - http://dx.doi.org/10.1038/s41598-018-22499-z
UR  - http://hdl.handle.net/10044/1/57529
VL  - 8
ER  -
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