Generalized suffix tree
In computer science, a generalized suffix tree is a suffix tree for a set of strings. Given the set of strings of total length
, it is a Patricia tree containing all
suffixes of the strings. It is mostly used in bioinformatics.[1]
Functionality
It can be built in time and space, and can be used to find all
occurrences of a string
of length
in
time, which is asymptotically optimal (assuming the size of the alphabet is constant[2]:119).
When constructing such a tree, each string should be padded with a unique out-of-alphabet marker symbol (or string) to ensure no suffix is a substring of another, guaranteeing each suffix is represented by a unique leaf node.
Algorithms for constructing a GST include Ukkonen's algorithm (1995) and McCreight's algorithm (1976).
Example
A suffix tree for the strings ABAB
and BABA
is shown in a figure above. They are padded with the unique terminator strings $0
and $1
. The numbers in the leaf nodes are string number and starting position. Notice how a left to right traversal of the leaf nodes corresponds to the sorted order of the suffixes. The terminators might be strings or unique single symbols. Edges on $
from the root are left out in this example.
Alternatives
An alternative to building a generalised suffix tree is to concatenate the strings, and build a regular suffix tree or suffix array for the resulting string. When hits are evaluated after a search, global positions are mapped into documents and local positions with some algorithm and/or data structure, such as a binary search in the starting/ending positions of the documents.
References
- ↑ Lua error in package.lua at line 80: module 'strict' not found.
- ↑ Lua error in package.lua at line 80: module 'strict' not found.