Comments (3)
I have been testing ALFAClust with 1 allele in the schema. It is really fast in writing the result. Using the parameter "-l 0.925" to get an average estimated of 0.925, the alleles were classified in 21 clusters.
Output result is a file with the cluster name followed with the locus name of this cluster, then next line the next cluster with the locus. See the example bellow:
`#Cluster 1
lmo0002_36
lmo0002_79
lmo0002_90
.....
....
#Cluster 2
lmo0002_98
lmo0002_101
and so on
`
By grepping the output file searching for "#Cluster" and -n to get the number lines, we get something like this.
`
1:#Cluster 1
78:#Cluster 2
81:#Cluster 3
795:#Cluster 4
`
Meaning that locus name from line 2 up to 77 belongs to Cluster 1.
I am guessing (maybe I am wrong) that I could take any of this locus, randomly, to map all the locus on the cluster with an identity of 90% , using blast.
Unfortunately, I did not have time to verify it, yet.
If I am right we could use this alternative because of the fast output
from taranis.
I did more testing, based on the clustered file generated by alfaclust.
I selected some cluster randomize and for each cluster a random allele was selected.
Then using blast and the random allele, I get that every time run the script for checking the number of alleles that blast matches wit a 90% of identity I get that all alleles were included in the match.
However the first time running for testing, I select the last allele in the first group of cluster, I get only 71 of 76 matches. But it was the only time that get a value bellow 100% of matches.
To be sure we could run blast each cluster to verify that the selected random allele matches all alleles in the cluster.
I hope this test was useful for making the final decision.
from taranis.
I will star coding reference_allele feature using the approach of alfaclust
from taranis.
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from taranis.