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alaxy – https://useg Set up your account

Galaxy – Set up your account. Galaxy – Two ways to get your data

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Page 1: Galaxy –  Set up your account. Galaxy – Two ways to get your data

Galaxy – https://useg Set up your account

Page 2: Galaxy –  Set up your account. Galaxy – Two ways to get your data

Galaxy – Two ways to get your data

Page 3: Galaxy –  Set up your account. Galaxy – Two ways to get your data

Galaxy – the data you will need for this lab

Page 4: Galaxy –  Set up your account. Galaxy – Two ways to get your data

Galaxy – two datasets (four files)

Page 5: Galaxy –  Set up your account. Galaxy – Two ways to get your data

Galaxy – import the data

Page 6: Galaxy –  Set up your account. Galaxy – Two ways to get your data

Galaxy – create “history”

Page 7: Galaxy –  Set up your account. Galaxy – Two ways to get your data

NGS Toolbox

Page 8: Galaxy –  Set up your account. Galaxy – Two ways to get your data

NGS - QC

Page 9: Galaxy –  Set up your account. Galaxy – Two ways to get your data

NGS - Alignment

Page 10: Galaxy –  Set up your account. Galaxy – Two ways to get your data

NGS - Alignment

Page 11: Galaxy –  Set up your account. Galaxy – Two ways to get your data

NGS Toolbox

Page 12: Galaxy –  Set up your account. Galaxy – Two ways to get your data

TOPHAT2

Page 13: Galaxy –  Set up your account. Galaxy – Two ways to get your data

CuffLinks

Page 14: Galaxy –  Set up your account. Galaxy – Two ways to get your data

CuffDiff

• You can figure out …

Page 15: Galaxy –  Set up your account. Galaxy – Two ways to get your data

Visualization

• Visualization function in Galaxy

• IGV (trick – keep zooming in)

Page 16: Galaxy –  Set up your account. Galaxy – Two ways to get your data

Lab description

1. Compare the gene expression profiles obtained using paired-end RNA-seq between two epithelial cell lines – the breast tumor cell line MCF7 and a non-tumor cell line MCF10A

2. Report the list of significantly differentially expressed (DE) genes between the two cell lines and identify the enriched GO terms and pathways (if any), provide a possible biological explanation

3. Provide visualization (screen capture or save figure) for two highly significant DE genes.

4. Do you observe any gene which is NOT differentially expressed by has a CDS (coding region) that is differentially expressed?

5. The data we use is highly downsampled. Given what you see about this data, what you would expect for the significant DE genes in the original data? Would you expect to see more?

6. Pick another pair of cell lines and compare. Report the 2 – 4.