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Practical Bioinformatics Mark Voorhies 5/23/2019 Mark Voorhies Practical Bioinformatics JavaTreeView link-out for ENSEMBL Mouse http://www.ensembl.org/Mus musculus/Gene/Summary?g=HEADER Mark Voorhies Practical Bioinformatics Science! Mark


  1. Practical Bioinformatics Mark Voorhies 5/23/2019 Mark Voorhies Practical Bioinformatics

  2. JavaTreeView link-out for ENSEMBL Mouse http://www.ensembl.org/Mus musculus/Gene/Summary?g=HEADER Mark Voorhies Practical Bioinformatics

  3. Science! Mark Voorhies Practical Bioinformatics

  4. Example Pipeline: Overview Mark Voorhies Practical Bioinformatics

  5. Example Pipeline: Details Mark Voorhies Practical Bioinformatics

  6. GSE88801 Pipelines Mark Voorhies Practical Bioinformatics

  7. Linear Least Squares Mark Voorhies Practical Bioinformatics

  8. Linear Least Squares b i = y i σ i Mark Voorhies Practical Bioinformatics

  9. Linear Least Squares A ij = f j ( x i ) σ i Mark Voorhies Practical Bioinformatics

  10. Linear Least Squares χ 2 = | A · a − b | 2 Mark Voorhies Practical Bioinformatics

  11. Linear Least Squares M � U i · b � � a = V i s i i Mark Voorhies Practical Bioinformatics

  12. Multiple Hypothesis Testing http://xkcd.com/882/ Mark Voorhies Practical Bioinformatics

  13. Homework live Explore today’s limma results for the uninfected | J 77 , 24 h comparison (choose two or more) : 1 Extract the gene names from limma1.J774.Live.24-J774.uninfected.24.t0.csv and paste them into the selection window in JavaTreeView. 2 Filter yesterday’s heatmap to create a new CDT file for just these differential genes. 3 Redo our PCA and clustering protocol for just these differential genes. 4 Find the corresponding set of differential genes from the “J774 Live vs Uninfected” tab of S2 of the paper. Use python sets to find differential genes common to the two analysis pipelines. 5 Repeat the above for other interesting comparisons. Mark Voorhies Practical Bioinformatics

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