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maximum entropy deconvolution software  (Bruker Corporation)


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    Structured Review

    Bruker Corporation maximum entropy deconvolution software
    Maximum Entropy Deconvolution Software, supplied by Bruker Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/maximum+entropy/maximum+entropy+deconvolution+algorithm/pm40499387-69-1-0
    Average 90 stars, based on 1 article reviews
    maximum entropy deconvolution software - by Bioz Stars, 2026-11
    90/100 stars

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    Related Articles

    other:

    Article Title: The first pilot project of the consortium for top-down proteomics: A status report
    Article Snippet: Intact protein masses were reconstructed using Maximum Entropy Deconvolution from DataAnalysis (Bruker Daltonics, version 3.4) and spectra were assigned manually.

    Article Title: AdductHunter: identifying protein-metal complex adducts in mass spectra
    Article Snippet: Three input files are required; (1) the deconvoluted mass spectrum, for example obtained using Maximum Entropy Deconvolution in Bruker DataAnalysis to produce a charge neutral spectrum [ , ]; (2) a file that lists the protein and any atoms, ions, and solvents contained in the sample and their corresponding constraints, such as charge and coordination number, the number of expected adducts formed; and (3) a description of the standard adducts involved in the sample and their corresponding constraints, which is expected to be very similar for most experiments.

    Software:

    Article Title: Point-of-Care Peptide Hormone Production Enabled by Cell-Free Protein Synthesis.
    Article Snippet: .. Data was analyzed using the maximum entropy deconvolution algorithm built-in to the Bruker DataAnalysis software. ..

    Article Title: Molecular basis for thiocarboxylation and release of Urm1 by its E1-activating enzyme Uba4
    Article Snippet: MS scans were acquired over a m/z range of 50–3000 using Bruker Daltonics micrOTOFcontrol software. .. Obtained MS spectra were deconvoluted with Maximum Entropy Deconvolution algorithm in Data Analysis 4.1 software (Bruker Daltonics, Bremen, Germany). ..

    Article Title: Mathematical modeling of Taylor-Aris dispersion-assisted mass spectrometry for the study of operating conditions.
    Article Snippet: Compass DataAnalysis (version: 4.4, build: 200.55.2969, Bruker) was used to evaluate the data. .. Bruker’s Maximum Entropy Deconvolution software was used for the deconvolution of mass spectra. .. Calculations of the expected the effects of parameters on TADA-MS measurements were done using MATLAB (release 2024b, The MathWorks, Natick, MA, US.).

    Article Title: Location of the bacteriophage P22 coat protein C-terminus provides opportunities for the design of capsid-based materials.
    Article Snippet: .. The resulting multiple charge state distributions for protein were deconvoluted using a maximum entropy deconvolution algorithm in the Bruker Compass Analysis software. ..

    Article Title: E2 / E3 ‐independent ubiquitin‐like protein conjugation by Urm1 is directly coupled to cysteine persulfidation
    Article Snippet: .. The MS spectra were processed with the Maximum Entropy Deconvolution algorithm in Data Analysis 4.1 software (Bruker Daltonics, Germany). ..

    Mass Spectrometry:

    Article Title: Molecular basis for thiocarboxylation and release of Urm1 by its E1-activating enzyme Uba4
    Article Snippet: MS scans were acquired over a m/z range of 50–3000 using Bruker Daltonics micrOTOFcontrol software. .. Obtained MS spectra were deconvoluted with Maximum Entropy Deconvolution algorithm in Data Analysis 4.1 software (Bruker Daltonics, Bremen, Germany). ..

    Analysis:

    Article Title: Molecular basis for thiocarboxylation and release of Urm1 by its E1-activating enzyme Uba4
    Article Snippet: MS scans were acquired over a m/z range of 50–3000 using Bruker Daltonics micrOTOFcontrol software. .. Obtained MS spectra were deconvoluted with Maximum Entropy Deconvolution algorithm in Data Analysis 4.1 software (Bruker Daltonics, Bremen, Germany). ..

    Article Title: Global incorporation of meta-fluorotyrosine or meta-fluorophenylalanine into 1,2-catechol dioxygenase modulates the binding affinities of substrates
    Article Snippet: Chemical Synthetic Biology Group, Department of Chemistry, University of Manitoba, Winnipeg, Canada, Aquatic and Crop Resources Development Research Center, National Research Council of Canada, Ottawa, ON, Canada, Department of Chemistry and Biomolecular Sciences, University of Ottawa, Ottawa, ON, Canada, Human Health Therapeutics Research Center, National Research Council of Canada, Ottawa, ON, Canada, Department of Veterinary Biomedical Sciences, Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, SK, Canada



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    Image Search Results


    Overview of each module’s analyses, including relevant references and the corresponding R packages used.

    Journal: PeerJ

    Article Title: EcoNicheS: enhancing ecological niche modeling, niche overlap and connectivity analysis using the shiny dashboard and R package

    doi: 10.7717/peerj.19136

    Figure Lengend Snippet: Overview of each module’s analyses, including relevant references and the corresponding R packages used.

    Article Snippet: The plataform employs the biomod2 R package, a widely used ecological niche modeling framework that supports 12 correlative algorithms: generalized linear models (GLMs), generalized additive models (GAMs), generalized boosting models (often called boosted regression trees; GBM), classification tree analysis (CTA), artificial neural networks (ANNs), surface range envelopes or BIOCLIM (SRE), flexible discriminant analysis (FDA), multiple adaptive regression splines (MARS), random forest (RF), and maximum entropy (MAXENT) using the MIAmaxent ( ) R package MAXNET and extreme gradient boosting (XGBOOST) ( ).

    Techniques: Sampling, Generated, Functional Assay

    Comparison of analyses performed by different software packages for ecological niche modeling.

    Journal: PeerJ

    Article Title: EcoNicheS: enhancing ecological niche modeling, niche overlap and connectivity analysis using the shiny dashboard and R package

    doi: 10.7717/peerj.19136

    Figure Lengend Snippet: Comparison of analyses performed by different software packages for ecological niche modeling.

    Article Snippet: The plataform employs the biomod2 R package, a widely used ecological niche modeling framework that supports 12 correlative algorithms: generalized linear models (GLMs), generalized additive models (GAMs), generalized boosting models (often called boosted regression trees; GBM), classification tree analysis (CTA), artificial neural networks (ANNs), surface range envelopes or BIOCLIM (SRE), flexible discriminant analysis (FDA), multiple adaptive regression splines (MARS), random forest (RF), and maximum entropy (MAXENT) using the MIAmaxent ( ) R package MAXNET and extreme gradient boosting (XGBOOST) ( ).

    Techniques: Comparison, Software, Selection, Generated, Sampling