Difference between revisions of "Team:Dundee/Modeling"
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<h1><highlight class="highlight">Dry Lab</highlight></h1> | <h1><highlight class="highlight">Dry Lab</highlight></h1> | ||
<h3><highlight class="highlight">Introduction</highlight></h3> | <h3><highlight class="highlight">Introduction</highlight></h3> | ||
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| − | <p ><font color="white"> <h3>Introduction</h3>In our project three approaches were taken within the dry lab; data analysis using PCA, modeling using ordinary differential equations (ODEs) and practical physics experiments. Mathematical modeling can be used within synthetic biology to reduce complex biological systems to their key components, allowing for a quantitative understanding of the reactions occurring. Models can then be considered in the lab to allow for optimisation of the techniques to produce the best end result. ODEs were used to model the change in concentration of substances over time, this was implemented within all aspects of the project; the BioSpray, fingerprint aging and chromate detection.</p> | + | <p ><!--The p tag starts a new paragraph.--> <font color="white"><!--The font colour tag ensures all text is white.--> <h3>Introduction</h3><!--Set Introduction as a heading for the section.--> In our project three approaches were taken within the dry lab; data analysis using PCA, modeling using ordinary differential equations (ODEs) and practical physics experiments. Mathematical modeling can be used within synthetic biology to reduce complex biological systems to their key components, allowing for a quantitative understanding of the reactions occurring. Models can then be considered in the lab to allow for optimisation of the techniques to produce the best end result. ODEs were used to model the change in concentration of substances over time, this was implemented within all aspects of the project; the BioSpray, fingerprint aging and chromate detection.</p><!--End the paragraph.--> |
<p> PCA is a statistical procedure whereby a dataset with many dimensions is simplified to its principal components in order to visualise hidden correlations. PCA was used to analyse the composition of fingerprints for the fingerprint aging. Physics experiments were used to investigate the incisions on bones by stainless steel knifes to complement the chromium biosensor part of the toolkit. </p> | <p> PCA is a statistical procedure whereby a dataset with many dimensions is simplified to its principal components in order to visualise hidden correlations. PCA was used to analyse the composition of fingerprints for the fingerprint aging. Physics experiments were used to investigate the incisions on bones by stainless steel knifes to complement the chromium biosensor part of the toolkit. </p> | ||
<p>Click on the sections below to find out more about each part described. The development of software, such as MATLAB, has allowed for greater use of mathematical models across the whole of Synthetic Biology. MATLAB was used in all aspects of the dry lab work, all code used can be found in our appendix via links at the bottom of each section.</font></p> | <p>Click on the sections below to find out more about each part described. The development of software, such as MATLAB, has allowed for greater use of mathematical models across the whole of Synthetic Biology. MATLAB was used in all aspects of the dry lab work, all code used can be found in our appendix via links at the bottom of each section.</font></p> | ||
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Revision as of 12:14, 14 August 2015
Dry Lab
Introduction
Introduction
In our project three approaches were taken within the dry lab; data analysis using PCA, modeling using ordinary differential equations (ODEs) and practical physics experiments. Mathematical modeling can be used within synthetic biology to reduce complex biological systems to their key components, allowing for a quantitative understanding of the reactions occurring. Models can then be considered in the lab to allow for optimisation of the techniques to produce the best end result. ODEs were used to model the change in concentration of substances over time, this was implemented within all aspects of the project; the BioSpray, fingerprint aging and chromate detection.
PCA is a statistical procedure whereby a dataset with many dimensions is simplified to its principal components in order to visualise hidden correlations. PCA was used to analyse the composition of fingerprints for the fingerprint aging. Physics experiments were used to investigate the incisions on bones by stainless steel knifes to complement the chromium biosensor part of the toolkit.
Click on the sections below to find out more about each part described. The development of software, such as MATLAB, has allowed for greater use of mathematical models across the whole of Synthetic Biology. MATLAB was used in all aspects of the dry lab work, all code used can be found in our appendix via links at the bottom of each section.
