Difference between revisions of "Haynes Lab:Notebook/Synthetic Biology and Bioinformatics for Predictable Control of Therapeutic Gene2/2012/11/07"

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|style="background-color: #F2F2F2" align="center"|[[File:Report.png|frameless|link={{#sub:{{FULLPAGENAME}}|0|-11}}]][[{{#sub:{{FULLPAGENAME}}|0|-11}}|Main project page]]<br />{{#if:{{#lnpreventry:{{FULLPAGENAME}}}}|[[File:Resultset_previous.png|frameless|link={{#lnpreventry:{{FULLPAGENAME}}}}]][[{{#lnpreventry:{{FULLPAGENAME}}}}{{!}}Previous entry]]&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;}}{{#if:{{#lnnextentry:{{FULLPAGENAME}}}}|[[{{#lnnextentry:{{FULLPAGENAME}}}}{{!}}Next entry]][[File:Resultset_next.png|frameless|link={{#lnnextentry:{{FULLPAGENAME}}}}]]}}
 
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==Entry title==
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==GO Term Analysis==
* GO Term Analysis was carried out. Desirable results were produced. We can now tell how cell physiology will most likely be affected by Pc-TF
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* GO Term Analysis was carried out
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* We can now tell how cell physiology will most likely be affected by Pc-TF
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* File has top ten most likely affected biological processes, molecular functions, and cellular components according to their P-Value (the lower the P-Value, we can reject the null hypothesis and thus the more likely the event will happen)
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* File also includes the number one affect BP, MF, and CC for each group in a venn diagram format
  
[[Media:GO_Term_Analysis.xlsx‎]]
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* [[Media:GO_Term_Analysis.xlsx‎]]
  
 
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Latest revision as of 21:15, 26 September 2017

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GO Term Analysis

  • GO Term Analysis was carried out
  • We can now tell how cell physiology will most likely be affected by Pc-TF
  • File has top ten most likely affected biological processes, molecular functions, and cellular components according to their P-Value (the lower the P-Value, we can reject the null hypothesis and thus the more likely the event will happen)
  • File also includes the number one affect BP, MF, and CC for each group in a venn diagram format