Removing low sequences before analysis
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mpuli011 • 0
@mpuli011-23216
Last seen 7 months ago
United States

Hi,

I was under the assumption that I did not have to rarefy the dataset when working w Deseq, but I am unsure if I have to do data cleanup, for example removing the samples with less than a certain amount of reads.

While looking at how to make a graph for changes in species over time, I ran into this tutorial with this information of pruning sample sums to a certain number. Can you please let me know if this is correct and if I actually need to do this, or when I would do this?

Tutorial-link Here's what is what says " Also remove samples with less than 500 reads (counts). Note that this kind of data cleanup is useful, necessary, and should be well-documented because it can also be dangerous to alter or omit data without clear documentation. In this case, I actually explored the data first, and am omitting some of the details (and explanatory plots) here for clarity."

deseq2 normalization • 1.3k views
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@mikelove
Last seen 2 days ago
United States

This is really data type specific. I have no expertise in metagenomics/microbiome and I did not design the software specifically for microbiome datasets so I will not comment on the appropriate type of filtering for this type of data.

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