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  • aprice67
    Member
    • Nov 2012
    • 49

    #1

    How can I make a valid design for this data in DESeq2?

    So I have a problem with a dataset I'm working on. Here is information about the samples.

    Three viruses at three timepoints:
    Virus1_day1, Virus1_day3, Virus1_day8.
    Virus2_day1, Virus2_day3, Virus2_day8.
    Virus3_day1, Virus3_day3, Virus3_day8.

    And mock samples at a single timepoint:
    Mock_day6

    Here is a link to the actual sample information

    Essentially, using DESeq2 I want to compare each virus at each time point to the mock condition. I can't do this because the design model isn't full rank though. I have only a single set of mocks, from day 6, and the viruses from days 1,3, and 8. I want to compare each virus at each time point to the mock set.

    Specifically:
    Virus1_day1 vs Mock
    Virus1_day3 vs Mock
    Virus1_day8 vs Mock
    Virus2_day1 vs Mock
    Virus2_day3 vs Mock
    Virus2_day8 vs Mock
    Virus3_day1 vs Mock
    Virus3_day3 vs Mock
    Virus3_day8 vs Mock

    What I've done so far is to just separate the input based on timepoint, and then do my design matrix as ~ Virus. I really want to be able to process all of the data in a single set, however, and extract DE data for each comparison with something like,
    Code:
     
    results(dds, contrast=c("Virus","mock","ACali09"),alpha=signif_cutoff)
    Can anyone help me figure out how to make the design matrix correctly specify the contrasts I'm trying to do? Thanks very much in advance.
    Last edited by aprice67; 08-22-2017, 11:01 AM. Reason: Added link to sample data.

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