Practical Bioinformatics Mark Voorhies 5/23/2019 Mark Voorhies - - PowerPoint PPT Presentation

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Practical Bioinformatics Mark Voorhies 5/23/2019 Mark Voorhies - - PowerPoint PPT Presentation

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


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Practical Bioinformatics

Mark Voorhies 5/23/2019

Mark Voorhies Practical Bioinformatics

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JavaTreeView link-out for ENSEMBL Mouse

http://www.ensembl.org/Mus musculus/Gene/Summary?g=HEADER

Mark Voorhies Practical Bioinformatics

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Science!

Mark Voorhies Practical Bioinformatics

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Example Pipeline: Overview

Mark Voorhies Practical Bioinformatics

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Example Pipeline: Details

Mark Voorhies Practical Bioinformatics

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GSE88801 Pipelines

Mark Voorhies Practical Bioinformatics

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Linear Least Squares

Mark Voorhies Practical Bioinformatics

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Linear Least Squares

bi = yi σi

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Linear Least Squares

Aij = fj(xi) σi

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Linear Least Squares

χ2 = |A · a − b|2

Mark Voorhies Practical Bioinformatics

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Linear Least Squares

a =

M

  • i

Ui · b si

  • Vi

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Multiple Hypothesis Testing

http://xkcd.com/882/ Mark Voorhies Practical Bioinformatics

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Homework

Explore today’s limma results for the

live uninfected |J77,24h 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