Thanks for the great software! I'm wondering if it makes sense to weigh binning results with a confidence metric?
A toy example I'm thinking of is:
3 contigs total, all connected to each other on the assembly graph.
1 contig is 1 million bp and has bin ID 1
2 contigs are 100bp each and both have bin ID 2
My bins actually have meaning (eg. taxon identities or linkage to another dataset)
If I'm confident in the bin ID of contig 1, I don't actually want contigs 2 and 3 to override its bin ID. In fact, I may want the opposite!
Looking for feedback if this makes sense within the GraphBin2 framework, and if it would be possible to implement. Thanks again!
Thanks for the great software! I'm wondering if it makes sense to weigh binning results with a confidence metric?
A toy example I'm thinking of is:
3 contigs total, all connected to each other on the assembly graph.
1 contig is 1 million bp and has bin ID 1
2 contigs are 100bp each and both have bin ID 2
My bins actually have meaning (eg. taxon identities or linkage to another dataset)
If I'm confident in the bin ID of contig 1, I don't actually want contigs 2 and 3 to override its bin ID. In fact, I may want the opposite!
Looking for feedback if this makes sense within the GraphBin2 framework, and if it would be possible to implement. Thanks again!