Open jolespin opened 2 years ago
Were you able to find a solution for this? I am trying to do exactly the same thing but having a hard time figuring out a good solution
I know there is the option to add species into OrthoFinder and use the previously computed results but I am not looking to add whole new species, just a single protein at a time
I ended up just using BLASTP on my protein against a database containing all of the proteins I used for my OrthoFinder run and it seemed to work pretty well on a control dataset.
Please do let me know if there are any other solutions out there.
I'm working on a project where I get data in series. For each round, I use OrthoFinder which works great and the output is extremely intuitive but takes a long time and uses a lot of compute power.
Is it possible to bypass sequential runs and use some post-hoc method where I could use some metric to append new proteins to existing orthogroups?
For example, what if I run
Diamond
alignment on a new protein against all proteins with orthogroups then if they have an average percent identity or bitscore above a certain threshold then include them as that cluster? Is it way less straightforward than that?