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Thread | Thread Starter | Forum | Replies | Last Post |
Need help with DESeq2 | KYR | RNA Sequencing | 13 | 03-11-2019 12:51 PM |
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#1 |
Senior Member
Location: US Join Date: Apr 2013
Posts: 222
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Hello, I have a function data sets. I want to look at which functions are over-representative. However, I am only interested in a subset of functions for example DNA synthesis.
Can I just use the functions related to DNA synthesis (subset table) to do the DESeq2 analysis or I have to use the whole dataset and later found which over-representative functions relative to DNA synthesis? Thanks, Last edited by SDPA_Pet; 03-27-2017 at 09:05 AM. |
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#3 | |
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Last edited by SDPA_Pet; 03-27-2017 at 09:18 AM. |
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#4 |
Member
Location: Antwerp, Belgium Join Date: Oct 2015
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You should use the whole dataset and later on check if the genes up and down regulated correspond to a certain function.
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#5 |
David Eccles (gringer)
Location: Wellington, New Zealand Join Date: May 2011
Posts: 838
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DESeq2 expects raw read-level count data as input. I don't expect that it would be possible to get that from a function data set.
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#6 | |
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Location: US Join Date: Apr 2013
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So, should I use the subset or total dataset. |
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#7 |
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Location: East Coast USA Join Date: Feb 2008
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@SDPA_Pet: I think you have metagenomics data that you have somehow mapped as counts --> a function (so not a specific gene). Is that interpretation correct? That may be important for other posters to know.
In any case cherry picking data is not the way to go with DESeq2. |
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#8 | |
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Location: US Join Date: Apr 2013
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Just curious,GenoMax? What is difference between the gene table and function table in your field (I would guess your field is biomedical field)? Do you have an example? |
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#9 |
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Location: East Coast USA Join Date: Feb 2008
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DESeq2 is not operating on the identifiers but is considering the counts associated with them.
Code:
DNA_synthesis 50 TCA_Cycle 100 Code:
BRCA1 50 TRPV1 100 |
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#10 |
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Right, my questions about the dataset choosing.
In you example, let say DNA_systhesis total have 50 counts. I can go deeper hierarchical level DNA systhesis sub Function 1 5 sub function 2 3 ... TCA total 100 sub Fucition 1 5 sub fuction 2 3 .... I could choose two way to do this. First, use the total datasets which is 150 functions total, and look at which sub function related to DNA synthesis is overabundant. Or, I could only extract the 50 subfunctions from DNA synthesis and run DEseq to find out which one is overabundant. To me, I only care about one large category. However, the sample size wouldn't be same in the two different analyses Last edited by SDPA_Pet; 03-28-2017 at 08:52 AM. |
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#11 |
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Location: East Coast USA Join Date: Feb 2008
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You may want to post this question on Bioconductor DESeq2 support site where people with the statistical chops will answer (someone on here may do that as well).
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#12 |
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#13 | |
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Location: East Coast USA Join Date: Feb 2008
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#14 | |
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Location: US Join Date: Apr 2013
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Thanks. BTW, do you know is there any good forum to discuss R application. Bioconductor.org focus on molecular bioinformatics. I need some forums such as help people with plots (ggplots 2), multivariate statistics, etc. |
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