outlier gene families #139
-
Hi all, I'm having the problem of CAFE not finishing a run because some outlier families. I have 39 mammal orthology with orthofinder2 - but some of the genomes were illumina and prediction might be very fragmented. Then CAFE gives me a warning saying I should remove some large differential gene families. I do that, can finish a run and get a lambda, then I try to run CAFE again with the large gene families and using that lambda, but the run gives me the error again. Then I try to run it with a very loooow lambda, but it also doesn't finish. It seems to me I cannot finish a CAFE run with -k values without removing certain gene families. It only finishes in the default mode, which states I have no among family rate variation. I don't think this is ideal. Any idea where I should go from here? |
Beta Was this translation helpful? Give feedback.
Replies: 2 comments
-
Hi, First, can you clarify: how many -k values are you trying to fit? Do these fit on the dataset when large families are removed? Does CAFE run fine when k=1, even with the large families? Second, unfortunately, if one has to remove extreme families, there is no obvious way to include them again. They (likely) simply have very little phylogenetic information contained within them. Matt |
Beta Was this translation helpful? Give feedback.
-
Hi Matt, And my base model result (or -k1): The instruction I was mentioning earlier is the 3.1.2 here https://github.com/hahnlab/CAFE5/blob/master/docs/tutorial/tutorial.md |
Beta Was this translation helpful? Give feedback.
Hi,
First, can you clarify: how many -k values are you trying to fit? Do these fit on the dataset when large families are removed? Does CAFE run fine when k=1, even with the large families?
Second, unfortunately, if one has to remove extreme families, there is no obvious way to include them again. They (likely) simply have very little phylogenetic information contained within them.
Matt