Open dorvashmr opened 4 months ago
I would really appreciate an answer to this! I am also trying to use iq in DIA-NN. Any guidance would be much appreciated.
Hi Reza,
It is still on my todo list to write detailed examples as you suggested.
The "process_wide_format" function is to collapse multiple rows with an identical identifier into a single entry. So basically the input data is in a "wide table format".
Please feel free to put forward your questions here. I will try to answer questions here first, before any extensive documentation.
Cheers, Thang
Hi again Thang,
So, if it is ok, I will put a few of my questions here and whenever you get time, I would really be grateful to read your responses.
1- If I need to use the MaxLFQ_R instead of fast_MaxLFQ, can I still use the "process_long_format"? If not, how can I do so?
2- If we need to use Top3 for a certain experiment that was searched with DIANN, how can I use the iq package?
3- in processing a diann output, what are the different normalization methods that iq package provides?
4- (this question is more on the curiosity side) I noticed that the "process_wide_format" has an argument/input parameter for "method" and it can be set to MaxLFQ or Top3 etc.. Is that an option to process DIANN report.tsv to acheive a pg_matrix?
Cheers, Reza
I am going to hitch on this thread and take the opportunity to also post my question.
When processing DIA-NN's report, is Iq taking into account only proteotypic peptides? If not, how could I achieve that? Using the filter_string_equal = c("Proteotypic" = "1")
? In your opinion, would that be a good idea?
I would especially like to know the answer to: 2- If we need to use Top3 for a certain experiment that was searched with DIANN, how can I use the iq package? Thanks!
Hi again Thang,
So, if it is ok, I will put a few of my questions here and whenever you get time, I would really be grateful to read your responses.
1- If I need to use the MaxLFQ_R instead of fast_MaxLFQ, can I still use the "process_long_format"? If not, how can I do so?
2- If we need to use Top3 for a certain experiment that was searched with DIANN, how can I use the iq package?
3- in processing a diann output, what are the different normalization methods that iq package provides?
4- (this question is more on the curiosity side) I noticed that the "process_wide_format" has an argument/input parameter for "method" and it can be set to MaxLFQ or Top3 etc.. Is that an option to process DIANN report.tsv to acheive a pg_matrix?
Cheers, Reza
Hi Reza,
Thang
I would especially like to know the answer to: 2- If we need to use Top3 for a certain experiment that was searched with DIANN, how can I use the iq package? Thanks!
I am trying out something, but it is quite slow. I will get back on this soon.
I am going to hitch on this thread and take the opportunity to also post my question.
When processing DIA-NN's report, is Iq taking into account only proteotypic peptides? If not, how could I achieve that? Using the
filter_string_equal = c("Proteotypic" = "1")
? In your opinion, would that be a good idea?
Hi, please feel free to open a new issue/discussion.
Yes, filter_string_equal = c("Proteotypic" = "1")
is ok. But I have not done any experiment to judge whether it is a good idea or not.
Hi,
First, Thank you for this really amazing package to process DIA results.
I am a bit new in using R to process and analyze data. I was wondering if you could provide a manual or example code for processing a DIANN output using most of the features that your package has. (like how it is described in detail for other software https://cran.r-project.org/web/packages/iq/vignettes/iq.html).
My other question is about the "process_wide_format" function. can you give an example of its use as well?
Cheers, Reza