Closed ValWood closed 3 years ago
pre filtering (using filtered GO terms, but not filtered mappings).
I ran a load like that and put it here: http://japonicusdb-goa.kmr.nz/vis/from/id/b3c8c004-adbd-4409-972a-1dda7eff46e8
It's on my desktop so it won't be available between 1pm and 8pm or so each day.
OK, there is still a massive increase for each aspect even if we use pre filtered for blocked mappings. It is reduced, especially for MF, but it. is still significant, and highly visible by eye. This is good because although we could exclude some of the InterPro mappings which are still false positive, I would not be able to do anything with the keywords and UniProtKB-SubCell which has a small % of false positives cover lots of entries. So, go ahead with the figure using the pre-filtered data. It will still look good.
Here's how it looks with filtered GO terms, but without filtered mappings. It's changed only a bit. Please let me know which connecting lines to add or remove, or any other changes.
Here's the SVG file: quilt-process-change-diagram-8.svg.gz
brilliant! I think where we filter KW mappings there will usually be InterPro.
I'm not going to use the biggest increases, we will highlight some of the smaller , but more relevant ones.
Try BP membrane organization lipid metabolic process
CC ER mitochondria (as now)
MF hydrolase molecular adaptor activity (new)
then still connect the unknowns.
Try
I'll include those changes when I recreate the figure with the change from pombase/website#1758. I'll try that on Monday.
I think where we filter KW mappings there will usually be InterPro.
I don't understand that bit.
I'm not going to use the biggest increases, we will highlight some of the smaller , but more relevant ones.
Have I got this right?:
I think where we filter KW mappings there will usually be InterPro. I don't understand that bit.
I'm just pondering why the affect from using the pre-filtering data was not as large as Iexpected. You can ignore...
Yes!
This looks great!
revised above comment
Are changes 2-4 for the figure? I'd rather not have to redo it again.
They were, but they aren't critical....I can remove the mention of energy generation from the legend. I'm probably the only person on the planet who 2&3 will mean anything to, and they don't affect the results. So jut adding back the connection for gene expression then this one is done.
That's a relief! I'll add the gene expression connection a bit later this morning and post the result.
How's this. Anything need tweaking? I'll export a high resolution version when we're ready to submit the manuscript.
Looks perfect to me!
Very nice.
Genetics wants figures in PDF or EPS format (PDF is ever-so-slightly easier to use with LaTeX). Hint: when saving .pdf or .eps in Inkscape, DON'T tick "Rasterise filter effects".
Cheers.
Here it is converted to PDF. It looks OK to me but could you have a look too?
Fab!
Create an "original load japonicus slim" pre filtering (using filtered GO terms, but not filtered mappings). (as discussed today)