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matlab implemented gui  (MathWorks Inc)


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    MathWorks Inc matlab implemented gui
    Matlab Implemented Gui, supplied by MathWorks Inc, 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/matlab+implemented+gui/us12357376-90-6-6
    Average 90 stars, based on 1 article reviews
    matlab implemented gui - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    Construct:

    Article Title: Respiratory compensated robot for liver cancer treatment
    Article Snippet: The robot is controlled using a Matlab implemented GUI that communicates to the main microcontroller via serial bus.

    Article Title: An intuitive graphical visualization technique for the interrogation of transcriptome data
    Article Snippet: A MATLAB implemented GUI that allows data preparation, analysis and exploration of transcriptome data with t- SNE is available at www.nimr.mrc.ac.uk/research/james-briscoe/visgenex .

    Produced:

    Article Title: Respiratory compensated robot for liver cancer treatment
    Article Snippet: The robot is controlled using a Matlab implemented GUI that communicates to the main microcontroller via serial bus.

    Article Title: An intuitive graphical visualization technique for the interrogation of transcriptome data
    Article Snippet: A MATLAB implemented GUI that allows data preparation, analysis and exploration of transcriptome data with t- SNE is available at www.nimr.mrc.ac.uk/research/james-briscoe/visgenex .

    Transformation Assay:

    Article Title: Respiratory compensated robot for liver cancer treatment
    Article Snippet: The robot is controlled using a Matlab implemented GUI that communicates to the main microcontroller via serial bus.

    Article Title: An intuitive graphical visualization technique for the interrogation of transcriptome data
    Article Snippet: A MATLAB implemented GUI that allows data preparation, analysis and exploration of transcriptome data with t- SNE is available at www.nimr.mrc.ac.uk/research/james-briscoe/visgenex .



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    The Graphical User Interface (GUI) for the MATLAB implementation of <t>CAMV.</t> The left tree contains a searchable list of protein hits in order of decreasing MASCOT score, each peptide assignment made to that protein, and all possible combinations of PTMs for each scan. The middle panel contains the MS2 scan data with pre-labeled peaks. On the right is a survey of the precursor window of the MS1 scan and a view of any quantitation information associated with the assignment. The peptide ladder at the top summarizes the sequencing information: red for an identified fragment, black for missing. A peak color-coding scheme allows for rapid surveillance of the quality of the match: within tolerance (green), within 1.5x tolerance (magenta), unmatched peak (red), and isotopic peak (yellow). Peptides which are pre-emptively excluded by the software appear in red on the left-hand tree. For these peptides, the reason for preemptive exclusion is displayed at the top left of the MS2 panel in place of the sequence ladder, along with an option to proceed with processing.
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    The Graphical User Interface (GUI) for the MATLAB implementation of <t>CAMV.</t> The left tree contains a searchable list of protein hits in order of decreasing MASCOT score, each peptide assignment made to that protein, and all possible combinations of PTMs for each scan. The middle panel contains the MS2 scan data with pre-labeled peaks. On the right is a survey of the precursor window of the MS1 scan and a view of any quantitation information associated with the assignment. The peptide ladder at the top summarizes the sequencing information: red for an identified fragment, black for missing. A peak color-coding scheme allows for rapid surveillance of the quality of the match: within tolerance (green), within 1.5x tolerance (magenta), unmatched peak (red), and isotopic peak (yellow). Peptides which are pre-emptively excluded by the software appear in red on the left-hand tree. For these peptides, the reason for preemptive exclusion is displayed at the top left of the MS2 panel in place of the sequence ladder, along with an option to proceed with processing.
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    The Graphical User Interface (GUI) for the MATLAB implementation of CAMV. The left tree contains a searchable list of protein hits in order of decreasing MASCOT score, each peptide assignment made to that protein, and all possible combinations of PTMs for each scan. The middle panel contains the MS2 scan data with pre-labeled peaks. On the right is a survey of the precursor window of the MS1 scan and a view of any quantitation information associated with the assignment. The peptide ladder at the top summarizes the sequencing information: red for an identified fragment, black for missing. A peak color-coding scheme allows for rapid surveillance of the quality of the match: within tolerance (green), within 1.5x tolerance (magenta), unmatched peak (red), and isotopic peak (yellow). Peptides which are pre-emptively excluded by the software appear in red on the left-hand tree. For these peptides, the reason for preemptive exclusion is displayed at the top left of the MS2 panel in place of the sequence ladder, along with an option to proceed with processing.

    Journal: Methods (San Diego, Calif.)

    Article Title: Computer Aided Manual Validation of Mass Spectrometry-based Proteomic Data

    doi: 10.1016/j.ymeth.2013.03.004

    Figure Lengend Snippet: The Graphical User Interface (GUI) for the MATLAB implementation of CAMV. The left tree contains a searchable list of protein hits in order of decreasing MASCOT score, each peptide assignment made to that protein, and all possible combinations of PTMs for each scan. The middle panel contains the MS2 scan data with pre-labeled peaks. On the right is a survey of the precursor window of the MS1 scan and a view of any quantitation information associated with the assignment. The peptide ladder at the top summarizes the sequencing information: red for an identified fragment, black for missing. A peak color-coding scheme allows for rapid surveillance of the quality of the match: within tolerance (green), within 1.5x tolerance (magenta), unmatched peak (red), and isotopic peak (yellow). Peptides which are pre-emptively excluded by the software appear in red on the left-hand tree. For these peptides, the reason for preemptive exclusion is displayed at the top left of the MS2 panel in place of the sequence ladder, along with an option to proceed with processing.

    Article Snippet: Once an analysis has been user- verified, publication-ready figures and spreadsheets containing the appropriate quantitative data can be generated from accepted assignments. fig ft0 fig mode=article f1 fig/graphic|fig/alternatives/graphic mode="anchored" m1 Open in a separate window caption a7 The Graphical User Interface (GUI) for the MATLAB implementation of CAMV.

    Techniques: Labeling, Quantitation Assay, Sequencing, Software

    Results of CAMV applied to quantitative tyrosine phosphorylation dataset. (A) All peptide matches following user validation of the dataset. Color code: Agreement between algorithm and user 201/317(green), alternate identification chosen by user 4/317 (yellow), additional assignment included by user 79/317 (blue), and assignment rejected by user 33/317 (red). (B) Distribution of user and CAMV decisions versus MASCOT score. Note that in many cases the user rescued the spectra that were pre-emptively excluded by the software, while in other cases the user rejected the spectral assignment based on the poor quality of the match.

    Journal: Methods (San Diego, Calif.)

    Article Title: Computer Aided Manual Validation of Mass Spectrometry-based Proteomic Data

    doi: 10.1016/j.ymeth.2013.03.004

    Figure Lengend Snippet: Results of CAMV applied to quantitative tyrosine phosphorylation dataset. (A) All peptide matches following user validation of the dataset. Color code: Agreement between algorithm and user 201/317(green), alternate identification chosen by user 4/317 (yellow), additional assignment included by user 79/317 (blue), and assignment rejected by user 33/317 (red). (B) Distribution of user and CAMV decisions versus MASCOT score. Note that in many cases the user rescued the spectra that were pre-emptively excluded by the software, while in other cases the user rejected the spectral assignment based on the poor quality of the match.

    Article Snippet: Once an analysis has been user- verified, publication-ready figures and spreadsheets containing the appropriate quantitative data can be generated from accepted assignments. fig ft0 fig mode=article f1 fig/graphic|fig/alternatives/graphic mode="anchored" m1 Open in a separate window caption a7 The Graphical User Interface (GUI) for the MATLAB implementation of CAMV.

    Techniques: Phospho-proteomics, Biomarker Discovery, Software