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Redundancy Removal

I've got a matrix of the percent ID of each of my sequences. What's a simple way with linear algebra to set a redundancy threshold. Like 95%.

similarity

have you really got a matrix (AA) and not a vector (A1)?

What do you mean by "set a redundancy threshold"? It seems like the matrix you are describing is probably populated with a percentage, so I'm not sure what linear algebra has to do with things. Do you mean that you want a vectorized way of removing redundant sequences from some list?

This question makes no sense, try again!

1 answer

Hi, I don't know how to do it with "linear algebra" but you can still do it in a different way. For instance, you can use CD-Hit algorithm, the one used for reducing the NCBI Non-Redudant database redundancy, or if you have your sequences aligned, you could try a trimAl [http://trimal.cgenomics.org] where you set the redundancy threshold and the program applies a clustering algorithm for removing redundant sequences.

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