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Citations per year

Number of citations per year for the bioinformatics software tool Bayesil
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This map represents all the scientific publications referring to Bayesil per scientific context
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chevron_left Metabolite quantification Metabolite identification Spectral corrections Spectral deconvolution Peak detection chevron_right
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Bayesil specifications

Information


Unique identifier OMICS_30272
Name Bayesil
Interface Web user interface
Restrictions to use None
Computer skills Basic
Stability Stable
Maintained Yes

Maintainer


  • person_outline David Wishart

Publication for Bayesil

Bayesil citations

 (8)
library_books

Recommended strategies for spectral processing and post processing of 1D 1H NMR data of biofluids with a particular focus on urine

2018
Metabolomics
PMCID: 5809546
PMID: 29479299
DOI: 10.1007/s11306-018-1321-4

[…] oped including the Chenomx NMR Suite (Mercier et al. ), Bruker’s AMIX (Czaplicki and Ponthus ), Bruker’s JuiceScreener (Monakhova et al. ) and WineScreener (Spraul et al. ), Batman (Hao et al. ), and Bayesil (Ravanbakhsh et al. ).The second camp uses statistical approaches to initially align multiple NMR spectra, to scale or normalize the aligned spectra, and then to identify interesting spectral […]

library_books

Navigating freely available software tools for metabolomics analysis

2017
Metabolomics
PMCID: 5550549
PMID: 28890673
DOI: 10.1007/s11306-017-1242-7

[…] ailable tools for NMR metabolomics provide both metabolite identification and quantification, with identification and quantification often being performed simultaneously. The BATMAN (Hao et al. ) and Bayesil (Ravanbakhsh et al. ) software were both reported to be used in the Metabolomics Society survey (Weber et al. ). BATMAN (Bayesian automated metabolite analyser for NMR spectra) (Hao et al. ) p […]

library_books

Microbiome and metabolome modifying effects of several cardiovascular disease interventions in apo E−/− mice

2017
Microbiome
PMCID: 5346842
PMID: 28285599
DOI: 10.1186/s40168-017-0246-x

[…] um buffer and D2O were added to the supernatant and the mixture was transferred to a clean NMR tube and analyzed on a 700 MHz Bruker NMR.The resulting 1H-NMR spectra were processed and analyzed using BAYESIL [], a fully-automated NMR spectral profiling program. A reference metabolite library was generated in the Chenomx NMR Suite Professional software package version 7.0 (Chenomx Inc., Edmonton, A […]

library_books

NMRProcFlow: a graphical and interactive tool dedicated to 1D spectra processing for NMR based metabolomics

2017
Metabolomics
PMCID: 5313591
PMID: 28261014
DOI: 10.1007/s11306-017-1178-y

[…] quences in order to compare them. Regarding spectra processing, automatic approaches when applicable are very suitable on well defined use-cases. This is the case e.g. for the approach implemented in BAYESIL web tool (Ravanbakhsh et al. ) provided that its analytical protocols defined for limited and well defined use-cases (only three matrices cerebrospinal fluid, serum, ultra-filtered plasma, col […]

library_books

Current and Future Perspectives on the Structural Identification of Small Molecules in Biological Systems

2016
PMCID: 5192452
PMID: 27983674
DOI: 10.3390/metabo6040046

[…] ected under defined conditions and isotopomer masses for carbon to nitrogen []. This information can be combined to help identify the molecule in question. Recent developments in NMR software such as Bayesil [], a web system that automatically identifies and quantifies metabolites developed at the University of Alberta (Canada), may also be useful. Similarly, the Metabolomics Fiehn lab offers an e […]

library_books

Quorum Sensing Coordinates Cooperative Expression of Pyruvate Metabolism Genes To Maintain a Sustainable Environment for Population Stability

2016
MBio
PMCID: 5142617
PMID: 27923919
DOI: 10.1128/mBio.01863-16

[…] ere compared to known databases (), as well as against authentic compounds. The data were processed and analyzed by using CHENOMX (version 8.0) for quantification (). Data were also analyzed by using Bayesil (, ). The average value and the standard error of the mean (SEM) were determined for at least three replicates. […]


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Bayesil institution(s)
Department of Computing Science, University of Alberta, Edmonton, AB, Canada; Alberta Innovates Center for Machine Learning, Edmonton, AB, Canada; Department of Biological Sciences, University of Alberta, Edmonton, AB, Canada; Fiorgen Foundation, Florence, Italy; Centro Risonanze Magnetiche, University of Florence, Florence, Italy; National Research Council, National Institute for Nanotechnology, Edmonton, AB, Canada
Bayesil funding source(s)
Supported by Alberta Innovates–Health Solutions, Alberta/ Pfizer Translational Research Fund, Metabolomics Innovation Centre, Natural Sciences and Engineering Research Council of Canada, Canadian Institutes of Health Research, Alberta Innovates Technology Futures, Queen Elizabeth II graduate scholarships, Alberta Innovates Centre for Machine Learning, CIHR grant reference number 111062.

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