Difference between revisions of "Haynes Lab:Notebook/Synthetic Biology and Bioinformatics for Predictable Control of Therapeutic Genes"

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(Phase I/2: Bioinformatics)
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<!-- sibboleth --><div id="lncal1" style="border:0px;"><div style="display:none;" id="id">lncal1</div><div style="display:none;" id="dtext">01/18/2012,01/25/2012,01/29/2012,02/07/2012,02/08/2012,02/10/2012,02/22/2012,02/27/2012,02/29/2012,03/04/2012,03/09/2012,03/10/2012,03/23/2012,03/24/2012,05/28/2012,05/29/2012,05/30/2012,06/06/2012,06/17/2012,06/18/2012,06/29/2012,07/23/2012</div><div style="display:none;" id="page">Haynes Lab:Notebook/Synthetic Biology and Bioinformatics for Predictable Control of Therapeutic Genes</div><div style="display:none;" id="fmt">yyyy/MM/dd</div><div style="display:none;" id="css">OWWNB</div><div style="display:none;" id="month"></div><div style="display:none;" id="year"></div><div style="display:none;" id="readonly">Y</div></div>

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Phase 1/2: Bioinformatics

  • ChIP is available through the Encyclopedia of DNA Elements (ENCODE) and GALAXY serves as a tool for biomedical analysis. Using the two tools I extracted a list of genes with H3K27me3 near the transcription start site (promoter) from cancer cells lines (neuroblastoma, liver carcinoma, and erythroleukemia). I then went on to perform GO (Gene Ontology) Term analysis to formulate predictions on how PcTF may affect cell phenotype and growth.


  • Phase 1 is complete

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