2014b function Search Results


matlab 2014b  (MathWorks Inc)
90
MathWorks Inc matlab 2014b
Matlab 2014b, 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
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2014b  (MathWorks Inc)
90
MathWorks Inc 2014b
Individual intensity trajectories for 300 ε and τ foci were simulated in MATLAB <t>2014b.</t> The simulation allows us to set k on and k off (in units of frames –1 ) for ε exchanging into Pol III*, and k on and k off for Pol III* exchanging into the replisome. By changing these rate constants, we can simulate different exchange mechanisms. The black line represents the average cross-correlation function for Pol III* exchange (both ε and τ). Here, k on and k off for Pol III* were set to 0.01 and the rate constants for ε were set to k on = 1 and k off <<1 to simulate stable binding of core to Pol III*. A clear positive peak can be seen. The green line represents the average cross-correlation function for simulated trajectories without any exchange. Here, k on = 1 and k off <<1 for all rate constants, to simulate stable binding to the replisome. In this case, there is no positive cross correlation. The gray line represents the average cross-correlation function for core exchange. In this case k on = 1 and k off <<1 for Pol III* and k on and k off for ε were set to 0.01. Again, we do not observe a positive cross correlation. Cross-correlation functions have been vertically offset for clarity. DOI: http://dx.doi.org/10.7554/eLife.23932.024
2014b, 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/result/2014b/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
2014b - by Bioz Stars, 2026-03
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treebagger supervised machine learning function  (MathWorks Inc)
90
MathWorks Inc treebagger supervised machine learning function
Individual intensity trajectories for 300 ε and τ foci were simulated in MATLAB <t>2014b.</t> The simulation allows us to set k on and k off (in units of frames –1 ) for ε exchanging into Pol III*, and k on and k off for Pol III* exchanging into the replisome. By changing these rate constants, we can simulate different exchange mechanisms. The black line represents the average cross-correlation function for Pol III* exchange (both ε and τ). Here, k on and k off for Pol III* were set to 0.01 and the rate constants for ε were set to k on = 1 and k off <<1 to simulate stable binding of core to Pol III*. A clear positive peak can be seen. The green line represents the average cross-correlation function for simulated trajectories without any exchange. Here, k on = 1 and k off <<1 for all rate constants, to simulate stable binding to the replisome. In this case, there is no positive cross correlation. The gray line represents the average cross-correlation function for core exchange. In this case k on = 1 and k off <<1 for Pol III* and k on and k off for ε were set to 0.01. Again, we do not observe a positive cross correlation. Cross-correlation functions have been vertically offset for clarity. DOI: http://dx.doi.org/10.7554/eLife.23932.024
Treebagger Supervised Machine Learning Function, 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
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elastic net regularization  (MathWorks Inc)
96
MathWorks Inc elastic net regularization
Individual intensity trajectories for 300 ε and τ foci were simulated in MATLAB <t>2014b.</t> The simulation allows us to set k on and k off (in units of frames –1 ) for ε exchanging into Pol III*, and k on and k off for Pol III* exchanging into the replisome. By changing these rate constants, we can simulate different exchange mechanisms. The black line represents the average cross-correlation function for Pol III* exchange (both ε and τ). Here, k on and k off for Pol III* were set to 0.01 and the rate constants for ε were set to k on = 1 and k off <<1 to simulate stable binding of core to Pol III*. A clear positive peak can be seen. The green line represents the average cross-correlation function for simulated trajectories without any exchange. Here, k on = 1 and k off <<1 for all rate constants, to simulate stable binding to the replisome. In this case, there is no positive cross correlation. The gray line represents the average cross-correlation function for core exchange. In this case k on = 1 and k off <<1 for Pol III* and k on and k off for ε were set to 0.01. Again, we do not observe a positive cross correlation. Cross-correlation functions have been vertically offset for clarity. DOI: http://dx.doi.org/10.7554/eLife.23932.024
Elastic Net Regularization, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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anti-inflammatory drug salsalate  (Thermo Fisher)
90
Thermo Fisher anti-inflammatory drug salsalate
Individual intensity trajectories for 300 ε and τ foci were simulated in MATLAB <t>2014b.</t> The simulation allows us to set k on and k off (in units of frames –1 ) for ε exchanging into Pol III*, and k on and k off for Pol III* exchanging into the replisome. By changing these rate constants, we can simulate different exchange mechanisms. The black line represents the average cross-correlation function for Pol III* exchange (both ε and τ). Here, k on and k off for Pol III* were set to 0.01 and the rate constants for ε were set to k on = 1 and k off <<1 to simulate stable binding of core to Pol III*. A clear positive peak can be seen. The green line represents the average cross-correlation function for simulated trajectories without any exchange. Here, k on = 1 and k off <<1 for all rate constants, to simulate stable binding to the replisome. In this case, there is no positive cross correlation. The gray line represents the average cross-correlation function for core exchange. In this case k on = 1 and k off <<1 for Pol III* and k on and k off for ε were set to 0.01. Again, we do not observe a positive cross correlation. Cross-correlation functions have been vertically offset for clarity. DOI: http://dx.doi.org/10.7554/eLife.23932.024
Anti Inflammatory Drug Salsalate, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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imfill function  (MathWorks Inc)
96
MathWorks Inc imfill function
Individual intensity trajectories for 300 ε and τ foci were simulated in MATLAB <t>2014b.</t> The simulation allows us to set k on and k off (in units of frames –1 ) for ε exchanging into Pol III*, and k on and k off for Pol III* exchanging into the replisome. By changing these rate constants, we can simulate different exchange mechanisms. The black line represents the average cross-correlation function for Pol III* exchange (both ε and τ). Here, k on and k off for Pol III* were set to 0.01 and the rate constants for ε were set to k on = 1 and k off <<1 to simulate stable binding of core to Pol III*. A clear positive peak can be seen. The green line represents the average cross-correlation function for simulated trajectories without any exchange. Here, k on = 1 and k off <<1 for all rate constants, to simulate stable binding to the replisome. In this case, there is no positive cross correlation. The gray line represents the average cross-correlation function for core exchange. In this case k on = 1 and k off <<1 for Pol III* and k on and k off for ε were set to 0.01. Again, we do not observe a positive cross correlation. Cross-correlation functions have been vertically offset for clarity. DOI: http://dx.doi.org/10.7554/eLife.23932.024
Imfill Function, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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programmable function generator tektronix tds 2014b  (Tektronix inc)
90
Tektronix inc programmable function generator tektronix tds 2014b
Individual intensity trajectories for 300 ε and τ foci were simulated in MATLAB <t>2014b.</t> The simulation allows us to set k on and k off (in units of frames –1 ) for ε exchanging into Pol III*, and k on and k off for Pol III* exchanging into the replisome. By changing these rate constants, we can simulate different exchange mechanisms. The black line represents the average cross-correlation function for Pol III* exchange (both ε and τ). Here, k on and k off for Pol III* were set to 0.01 and the rate constants for ε were set to k on = 1 and k off <<1 to simulate stable binding of core to Pol III*. A clear positive peak can be seen. The green line represents the average cross-correlation function for simulated trajectories without any exchange. Here, k on = 1 and k off <<1 for all rate constants, to simulate stable binding to the replisome. In this case, there is no positive cross correlation. The gray line represents the average cross-correlation function for core exchange. In this case k on = 1 and k off <<1 for Pol III* and k on and k off for ε were set to 0.01. Again, we do not observe a positive cross correlation. Cross-correlation functions have been vertically offset for clarity. DOI: http://dx.doi.org/10.7554/eLife.23932.024
Programmable Function Generator Tektronix Tds 2014b, supplied by Tektronix inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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programmable function generator tektronix tds 2014b - by Bioz Stars, 2026-03
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and jeffries 1984  (Cargill Inc)
90
Cargill Inc and jeffries 1984
Individual intensity trajectories for 300 ε and τ foci were simulated in MATLAB <t>2014b.</t> The simulation allows us to set k on and k off (in units of frames –1 ) for ε exchanging into Pol III*, and k on and k off for Pol III* exchanging into the replisome. By changing these rate constants, we can simulate different exchange mechanisms. The black line represents the average cross-correlation function for Pol III* exchange (both ε and τ). Here, k on and k off for Pol III* were set to 0.01 and the rate constants for ε were set to k on = 1 and k off <<1 to simulate stable binding of core to Pol III*. A clear positive peak can be seen. The green line represents the average cross-correlation function for simulated trajectories without any exchange. Here, k on = 1 and k off <<1 for all rate constants, to simulate stable binding to the replisome. In this case, there is no positive cross correlation. The gray line represents the average cross-correlation function for core exchange. In this case k on = 1 and k off <<1 for Pol III* and k on and k off for ε were set to 0.01. Again, we do not observe a positive cross correlation. Cross-correlation functions have been vertically offset for clarity. DOI: http://dx.doi.org/10.7554/eLife.23932.024
And Jeffries 1984, supplied by Cargill Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


Individual intensity trajectories for 300 ε and τ foci were simulated in MATLAB 2014b. The simulation allows us to set k on and k off (in units of frames –1 ) for ε exchanging into Pol III*, and k on and k off for Pol III* exchanging into the replisome. By changing these rate constants, we can simulate different exchange mechanisms. The black line represents the average cross-correlation function for Pol III* exchange (both ε and τ). Here, k on and k off for Pol III* were set to 0.01 and the rate constants for ε were set to k on = 1 and k off <<1 to simulate stable binding of core to Pol III*. A clear positive peak can be seen. The green line represents the average cross-correlation function for simulated trajectories without any exchange. Here, k on = 1 and k off <<1 for all rate constants, to simulate stable binding to the replisome. In this case, there is no positive cross correlation. The gray line represents the average cross-correlation function for core exchange. In this case k on = 1 and k off <<1 for Pol III* and k on and k off for ε were set to 0.01. Again, we do not observe a positive cross correlation. Cross-correlation functions have been vertically offset for clarity. DOI: http://dx.doi.org/10.7554/eLife.23932.024

Journal: eLife

Article Title: Single-molecule visualization of fast polymerase turnover in the bacterial replisome

doi: 10.7554/eLife.23932

Figure Lengend Snippet: Individual intensity trajectories for 300 ε and τ foci were simulated in MATLAB 2014b. The simulation allows us to set k on and k off (in units of frames –1 ) for ε exchanging into Pol III*, and k on and k off for Pol III* exchanging into the replisome. By changing these rate constants, we can simulate different exchange mechanisms. The black line represents the average cross-correlation function for Pol III* exchange (both ε and τ). Here, k on and k off for Pol III* were set to 0.01 and the rate constants for ε were set to k on = 1 and k off <<1 to simulate stable binding of core to Pol III*. A clear positive peak can be seen. The green line represents the average cross-correlation function for simulated trajectories without any exchange. Here, k on = 1 and k off <<1 for all rate constants, to simulate stable binding to the replisome. In this case, there is no positive cross correlation. The gray line represents the average cross-correlation function for core exchange. In this case k on = 1 and k off <<1 for Pol III* and k on and k off for ε were set to 0.01. Again, we do not observe a positive cross correlation. Cross-correlation functions have been vertically offset for clarity. DOI: http://dx.doi.org/10.7554/eLife.23932.024

Article Snippet: The average cross-correlation functions were calculated using MATLAB 2014b (Mathworks).

Techniques: Binding Assay