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MS-Omics, the metabolomics service experts

MS-Omics is a service provider of metabolomics and data analysis. 10 days lead time from receipt of samples to final report for standard analysis by GC-MS or LC-MS/MS. Blood, urine, faeces, tissue, mammalian cells, bacteria, yeast, food products, fermentations and a vast range of other biological samples can be analyzed. Biomarker discovery and identification of unknown metabolites available with state-of-the-art instruments: GCxGC-qTOF and LCxLC-IM-MS/MS. Click on the pictures for more information:.

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MS-Omics, the metabolomics service experts | msomics.com Reviews
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MS-Omics is a service provider of metabolomics and data analysis. 10 days lead time from receipt of samples to final report for standard analysis by GC-MS or LC-MS/MS. Blood, urine, faeces, tissue, mammalian cells, bacteria, yeast, food products, fermentations and a vast range of other biological samples can be analyzed. Biomarker discovery and identification of unknown metabolites available with state-of-the-art instruments: GCxGC-qTOF and LCxLC-IM-MS/MS. Click on the pictures for more information:.
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1 about ms omics
2 samples
3 ms omics faq
4 methods
5 gc ms mcf derivatization
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7 parafac2 information page
8 gc ms parafac2 papers
9 visualization
10 examples
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MS-Omics, the metabolomics service experts | msomics.com Reviews

https://msomics.com

MS-Omics is a service provider of metabolomics and data analysis. 10 days lead time from receipt of samples to final report for standard analysis by GC-MS or LC-MS/MS. Blood, urine, faeces, tissue, mammalian cells, bacteria, yeast, food products, fermentations and a vast range of other biological samples can be analyzed. Biomarker discovery and identification of unknown metabolites available with state-of-the-art instruments: GCxGC-qTOF and LCxLC-IM-MS/MS. Click on the pictures for more information:.

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1

MS-Omics: GC-MS PARAFAC2 papers

http://www.msomics.com/data%20processing/parafac2papers.html

Recommended PARAFAC2 and GC-MS data processing publications. Automated resolution of overlapping peaks in chromatographic data. Johnsen, L. G., Amigo, J. M., Skov, T. and Bro, R. (2013). J. Chemometrics. DOI: 10.1002/cem.2575. Core consistency diagnostic in PARAFAC2, Kamstrup-Nielsen, M. H., Johnsen, L. G. and Bro, R. (2013). J. Chemometrics. DOI: 10.1002/cem.2497. PARAFAC2 Part II. Modeling chromatographic data with retention time shifts. Rasmus Bro, Claus A. Andersson and Henk A. L....A matrix of sampl...

2

MS-Omics PARAFAC2 information page

http://www.msomics.com/data%20processing/parafac2.html

Simultaneous processing of all GC-MS runs from an experiment. More compounds more value. Clean MS-Spectra better NIST library hit. Less noise in final data more conclusive results. 1 Inspect raw data and. Split chromatograms into intervals. 2 Evaluate PARAFAC2 models and determine no. of components in each model. 3 Inspect MS-spectra and Extracted Ion Chromatograms. 4 Choose relevant compounds. 5 Clean MS-spektra ready for e.g. NIST library searches. Relevant PARAFAC2 and GC-MS data processing papers.

3

MS-Omics: Samples

http://www.msomics.com/samples/index.html

Questions about samples and how to submit samples? See our frequently asked questions page: FAQ. To provide customers with a full range of services to investigate the microbiome we have a strong and very competent partner: "Clinical-Microbiomics". They are specialists in characterizing the composition of bacterial species in the microbiome by application of next-generation sequencing. Click on their logo to visit their homepage:. MS-Omics has experince with a wide range of samples types. Most biologi...

4

MS-Omics Data Processing and PARAFAC2

http://www.msomics.com/data%20processing/index.html

GC-MS data processing with PARAFAC2. Imagine you could process all GC-MS runs from an experiment in a single workflow. Imagine that the workflow would extract all compounds from small peaks and overlapping peaks and that the MS-spectra from the compounds would be clean and free of noise so that your NIST search would be much easier to interpret. A dataset with less noise, many more compounds, and better identification of unknowns might revolutionize your interpretation of the data! Top 10 NIST hits for e...

5

GC-MS with methyl chloroformate (MCF) derivatization

http://www.msomics.com/methods/gc-ms_MCF.html

GC-MS metabolomics with methyl chloroformate (MCF). Gas Chromatography Mass Spectometry (GC-MS) is one of the most applied analytical tools in metabolomics. Due to its high separation power, its capacity for reliable identification of hundreds of metabolites and its low cost, GC-MS is often the first choice for metabolite analysis. However, GC-MS systems are able to analyze only volatile compounds and, consequently, chemical derivatization of nonvolatile compounds is required. Data processing: The large ...

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MS-Omics, the metabolomics service experts

MS-Omics is a service provider of metabolomics and data analysis. 10 days lead time from receipt of samples to final report for standard analysis by GC-MS or LC-MS/MS. Blood, urine, faeces, tissue, mammalian cells, bacteria, yeast, food products, fermentations and a vast range of other biological samples can be analyzed. Biomarker discovery and identification of unknown metabolites available with state-of-the-art instruments: GCxGC-qTOF and LCxLC-IM-MS/MS. Click on the pictures for more information:.

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