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  • DESeq deal with 426 samples

    Hi guys,

    I analysis the TCGA data which have 426 samples with DESeq in R, after run about 3h ,then occur a error which is about files to big and more than 3GB, so both PC and server are all can not calculate it. But when I only user 6 samples,it works well , so my question is how can I use DESeq to deal with 426 samples?

    thanks!

  • #2
    You'd be better off with DESeq2. Also, I thought that TCGA didn't provide raw counts.

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    • #3
      Sure, I will try to use DESeq2. I download TCGA data from firehose and the file name is raw_count but not all numbers is integer, so I transform it into integer then I can use DESeq, Actually I don't know why they are not integer.

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      • #4
        I recall them being RSEM expected counts or something like that. You might just log2 transform them and then use limma, which is likely more appropriate for non-count values.

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        • #5
          The RSEM expected counts are "count-like", so better to run them through voom and into the limma pipeline rather than log2 transforming. This will be quite fast even for 426 samples.

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          • #6
            Voom and limma is a good way to deal with this data , thank you for your reply!

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