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Generalized suffix tree

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Suffix tree for the strings ABAB and BABA. Suffix links not shown.

In computer science, a generalized suffix tree is a suffix tree for a set of strings. Given the set of strings D = S 1 , S 2 , , S d {\displaystyle D=S_{1},S_{2},\dots ,S_{d}} of total length n {\displaystyle n} , it is a Patricia tree containing all n {\displaystyle n} suffixes of the strings. It is mostly used in bioinformatics.

Functionality

It can be built in Θ ( n ) {\displaystyle \Theta (n)} time and space, and can be used to find all z {\displaystyle z} occurrences of a string P {\displaystyle P} of length m {\displaystyle m} in O ( m + z ) {\displaystyle O(m+z)} time, which is asymptotically optimal (assuming the size of the alphabet is constant).

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 generalized 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

  1. Paul Bieganski; John Riedl; John Carlis; Ernest F. Retzel (1994). "Generalized Suffix Trees for Biological Sequence Data". Biotechnology Computing, Proceedings of the Twenty-Seventh Hawaii International Conference on. pp. 35–44. doi:10.1109/HICSS.1994.323593.
  2. Gusfield, Dan (1999) . Algorithms on Strings, Trees and Sequences: Computer Science and Computational Biology. USA: Cambridge University Press. ISBN 978-0-521-58519-4.

External links

Strings
String metric
String-searching algorithm
Multiple string searching
Regular expression
Sequence alignment
Data structure
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