Line 174: | Line 174: | ||
Plotly.newPlot('mcherry1', data, layout); | Plotly.newPlot('mcherry1', data, layout); | ||
+ | } | ||
+ | |||
+ | |||
+ | // results1 | ||
+ | var results1 = function() { | ||
+ | var pdCas9_cI_mCherry = { | ||
+ | x: [0, 1, 2, 3, 4, 5], | ||
+ | y: [0.431455654, 0.486018799, 0.451166937, 0.412544754, 0.446801074, 0.431628187], | ||
+ | mode: 'lines+markers', | ||
+ | name: 'pdCas9 + cI/mCherry', | ||
+ | line: {shape: 'spline'}, | ||
+ | type: 'scatter' | ||
+ | }; | ||
+ | |||
+ | var pdCas9_sgRNA = { | ||
+ | x: [0, 1, 2, 3, 4, 5], | ||
+ | y: [0.393061353, 0.461130378, 0.420842868, 0.367656727, 0.357478349, 0.301070788], | ||
+ | mode: 'lines+markers', | ||
+ | name: 'pdCas9 + sgRNA', | ||
+ | line: {shape: 'spline'}, | ||
+ | type: 'scatter' | ||
+ | }; | ||
+ | |||
+ | var pdCas9_sgRNA_AcrIIA4 = { | ||
+ | x: [0, 1, 2, 3, 4, 5], | ||
+ | y: [0.468340088,0.519079993,0.537926389,0.530572262,0.514394667,0.524926408], | ||
+ | mode: 'lines+markers', | ||
+ | name: 'pdCas9 + sgRNA + AcrIIA4', | ||
+ | line: {shape: 'spline'}, | ||
+ | type: 'scatter' | ||
+ | }; | ||
+ | |||
+ | var data = [pdCas9_cI_mCherry, pdCas9_sgRNA, pdCas9_sgRNA_AcrIIA4]; | ||
+ | |||
+ | |||
+ | var layout = { | ||
+ | title: 'MG1655 ∆lacI Growth Profile at 0.4 uM aTc', | ||
+ | xaxis: { | ||
+ | title: 'Timepoint(hours)', | ||
+ | }, | ||
+ | yaxis: { | ||
+ | title: 'Optical Density', | ||
+ | range: [0, 1.5], | ||
+ | autorange: false | ||
+ | } | ||
+ | }; | ||
+ | |||
+ | Plotly.newPlot('results1', data, layout); | ||
} | } |
Revision as of 21:24, 7 December 2017
// Interlab graph var interlab = function() { var negativeControl = { x: [0, 2, 4, 6], y: [-0.27, -0.04, -0.01, 0.00], error_y: { type: 'data', array: [0.26, 0.01, 0.00, 0.00], visible: true }, mode: 'lines+markers', name: 'Negative Control', line: {shape: 'spline'}, type: 'scatter' };
var positiveControl = { x: [0, 2, 4, 6], y: [0.06, 0.49, 0.30, 0.27], error_y: { type: 'data', array: [0.08, 0.05, 0.01, 0.01], visible: true }, mode: 'lines+markers', name: 'Positive Control', line: {shape: 'spline'}, type: 'scatter' };
var testDevice1 = { x: [0, 2, 4, 6], y: [0.23, 0.67, 0.40, 0.41], error_y: { type: 'data', array: [0.18, 0.16, 0.02, 0.01], visible: true }, mode: 'lines+markers', name: 'Test Device 1', line: {shape: 'spline'}, type: 'scatter' };
var testDevice2 = { x: [0, 2, 4, 6], y: [0.37, 0.78, 0.49, 0.47], error_y: { type: 'data', array: [0.16, 0.09, 0.03, 0.01], visible: true }, mode: 'lines+markers', name: 'Test Device 2', line: {shape: 'spline'}, type: 'scatter' };
var testDevice3 = { x: [0, 2, 4, 6], y: [-0.13, -0.01, 0.00, 0.01], error_y: { type: 'data', array: [0.08, 0.01, 0.00, 0.00], visible: true }, mode: 'lines+markers', name: 'Test Device 3', line: {shape: 'spline'}, type: 'scatter' };
var testDevice4 = { x: [0, 2, 4, 6], y: [-0.04, 0.45, 0.38, 0.36], error_y: { type: 'data', array: [0.18, 0.06, 0.02, 0.02], visible: true }, mode: 'lines+markers', name: 'Test Device 4', line: {shape: 'spline'}, type: 'scatter' };
var testDevice5 = { x: [0, 2, 4, 6], y: [-0.10, 0.23, 0.13, 0.12], error_y: { type: 'data', array: [0.09, 0.02, 0.01, 0.00], visible: true }, mode: 'lines+markers', name: 'Test Device 5', line: {shape: 'spline'}, type: 'scatter' };
var testDevice6 = { x: [0, 2, 4, 6], y: [-0.12, -0.02, 0.00, 0.00], error_y: { type: 'data', array: [0.05, 0.01, 0.00, 0.00], visible: true }, mode: 'lines+markers', name: 'Test Device 6', line: {shape: 'spline'}, type: 'scatter' };
var data = [negativeControl, positiveControl, testDevice1, testDevice2, testDevice3, testDevice4, testDevice5, testDevice6];
var layout = { title: 'iGEM Interlab Data 2017', xaxis: { title: 'Hour' }, yaxis: { title: 'uM Fluorescein / OD600' } };
Plotly.newPlot('interlab', data, layout); }
// mcherry1 var mcherry1 = function() { var lightControl = { x: [12, 13, 14, 15.5, 16.5, 17.5, 18.5, 20, 21, 22, 23, 24, 25], y: [129.83, 128.24, 138.79, 176.88, 230.48, 277.72, 327.33, 390.20, 425.82, 486.02, 597.98, 742.35, 960.72], error_y: { type: 'data', array: [8.81, 1.81, 11.44, 25.89, 88.77, 109.73, 130.10, 180.74, 204.12, 205.80, 239.24, 243.47, 183.55], visible: true }, mode: 'lines+markers', name: 'Light', line: {shape: 'spline'}, type: 'scatter' };
var darkControl = { x: [12, 13, 14, 15.5, 16.5, 17.5, 18.5, 20, 21, 22, 23, 24, 25], y: [115.16, 112.05, 114.44, 129.58, 132.22, 148.81, 152.93, 229.61, 254.06, 295.24, 351.34, 421.73, 565.07], error_y: { type: 'data', array: [4.64, 7.26, 2.53, 2.40, 14.22, 13.21, 33.95, 60.37, 61.98, 79.71, 94.47, 128.05, 156.18], visible: true }, mode: 'lines+markers', name: 'Dark', line: {shape: 'spline'}, type: 'scatter' };
var data = [lightControl, darkControl];
var layout = {
title: 'Normalized Fluorescence over Time',
xaxis: {
title: 'Hours'
},
yaxis: {
title: 'RFU / OD600'
}
};
Plotly.newPlot('mcherry1', data, layout);
}
// results1
var results1 = function() {
var pdCas9_cI_mCherry = {
x: [0, 1, 2, 3, 4, 5],
y: [0.431455654, 0.486018799, 0.451166937, 0.412544754, 0.446801074, 0.431628187],
mode: 'lines+markers',
name: 'pdCas9 + cI/mCherry',
line: {shape: 'spline'},
type: 'scatter'
};
var pdCas9_sgRNA = { x: [0, 1, 2, 3, 4, 5], y: [0.393061353, 0.461130378, 0.420842868, 0.367656727, 0.357478349, 0.301070788], mode: 'lines+markers', name: 'pdCas9 + sgRNA', line: {shape: 'spline'}, type: 'scatter' };
var pdCas9_sgRNA_AcrIIA4 = { x: [0, 1, 2, 3, 4, 5], y: [0.468340088,0.519079993,0.537926389,0.530572262,0.514394667,0.524926408], mode: 'lines+markers', name: 'pdCas9 + sgRNA + AcrIIA4', line: {shape: 'spline'}, type: 'scatter' };
var data = [pdCas9_cI_mCherry, pdCas9_sgRNA, pdCas9_sgRNA_AcrIIA4];
var layout = {
title: 'MG1655 ∆lacI Growth Profile at 0.4 uM aTc',
xaxis: {
title: 'Timepoint(hours)',
},
yaxis: {
title: 'Optical Density',
range: [0, 1.5],
autorange: false
}
};
Plotly.newPlot('results1', data, layout); }