More details lineage reconstruction algorithm #1497
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Hello, Thank you for help |
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Briefly:
Generally speaking, increasing the values mentioned above will result in more aggressive clustering. These parameters are also described here. |
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Thank you for your answer. Do you think it might be relevant to test less stringent parameters to try and group together clones that may have accumulated a lot of mutations? In the context of our study, we are tracking clones at D0 and D7 after stimulation, in vitro. |
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Briefly:
In the first step, all NDN regions are aligned with each other, incurring a certain penalty for each mismatch. These penalty scores are then normalized by the length of the region. If this normalized metric is lower than the threshold set by
-Osteps[0].algorithm.maxNDNDistanceForClustering=1.0
, the clones will be clustered.In the second step, MiXCR attempts to add additional members to the tree without disrupting its structure. The parameter
-Ostep[1].maxNDNDistance=1.5
controls the maximum distance allowed between the NDN-region of the added clonotypes and the closest existing tree member.In the third step, MiXCR tries to merge entire trees that have similar most recent …