Removing low sequences before analysis
1
0
Entering edit mode
mpuli011 • 0
@mpuli011-23216
Last seen 9 days 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 • 1.1k views
ADD COMMENT
0
Entering edit mode
@mikelove
Last seen 1 day 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.

ADD COMMENT

Login before adding your answer.

Traffic: 753 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6