Comments (5)
Hi Thierry,
yes I did read this section, that's why I started the issue... You write (for the paired end setup):
Columns prerequisites:
BARCODES: the barcode associated with the sample
INDIVIDUALS: a more appealing sample name (more on this below)
FORWARD: the name of the forward sequencing file e.g. H5CY5BBXY_2_25_1.fastq.gz
REVERSE: the name of the reverse sequencing file e.g. H5CY5BBXY_2_25_2.fastq.gz
and on the multiple lanes scenario (in the FAQ section):
Multiple sequencing lanes or chips ?
If you have several Illumina lanes or Ion Torrent chips, just write them down along the sample and barcodes associated with it. On the same file.
but these descriptions don't provide enough details to understand how the file should be organised if one has multiple barcodes per sample or where the information about lanes should go if one has multiple lanes in an experiment. I know I can trial and error this, but it would be very helpful if one could see an example of the project info file for different setups.
from stackr.
Have you read the Get started section ?
There is a section called project info file ...
from stackr.
It seems stackr
is not capable of handling dual inline tags yet. In line 30 the function imports the project info file but even if you put '\t' as a separator in the first column of the file ("BARCODES") the importing function will add escape before it so it won't be exported as tab in line 132. Other separators won't help because process_radtags
accepts only tabs.
The solution would be to add another option in the function's arguments, e.g. 'dual.tags' and add another format for the tibble ('ccccc'), or to let users choose their own file with barcodes - with the latter probably easier to code. If the barcodes are imported from external file ("02_project_info/barcodes_id_(...).txt") maybe there's no sense to require them in project_info file?
from stackr.
I share the codes I use, but stackr is really just for my personal use and the collaborators I work with.
I test it with very specific stacks flavours depending on the projects I have with data I have
I have no interest of testing it with other dataset or spending time to make it work for others
I also have no intention of publishing a paper on this because it's totally dependent on stacks.
If you used stacks before and went on to check the google group, you see it's almost a full time job...
I'll clarify all of this on the readme page of the package so that there is no expectations.
Sorry.
You can make a repo, use my code, modify my codes, contribute, but that is pretty much it.
Best of luck
Thierry
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@jarekbryk @konopinski
With my radiator package its completely different
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