Difference between revisions of "Mash"
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MinHash is a general dimensionality-reduction technique and it is used by Mash to reduce large sequences and sequence sets to small, representative sketches with the result that global mutation distances (Mash distances) can be rapidly estimated. | MinHash is a general dimensionality-reduction technique and it is used by Mash to reduce large sequences and sequence sets to small, representative sketches with the result that global mutation distances (Mash distances) can be rapidly estimated. | ||
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| + | Other aspects | ||
| + | * terms itself as an alignment-free method | ||
Revision as of 17:15, 11 January 2017
Introduction
MinHash is a general dimensionality-reduction technique and it is used by Mash to reduce large sequences and sequence sets to small, representative sketches with the result that global mutation distances (Mash distances) can be rapidly estimated.
Other aspects
- terms itself as an alignment-free method
