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Biomedical subjects

G M Landau

Publications and source records attributed to G M Landau.

5 recordsLinked to original sources

An algorithm for approximate tandem repeats.

A perfect single tandem repeat is defined as a nonempty string that can be divided into two identical substrings, e.g., abcabc. An approximate single tandem repeat is one in which the substrings are similar, but not identical, e.g., abcdaacd. In this paper we consider two criterions of similarity: the Hamming distance (k mismatches) and the edit distance (k differences). For a string S of length n and an integer k our algorithm reports all locally optimal approximate repeats, r = umacro û, for which the Hamming distance of umacro and û is at most k, in O(nk log (n/k)) time, or all those for which the edit distance of umacro and û is at most k, in O(nk log k log (n/k)) time. This paper concentrates on a more general type of repeat called multiple tandem repeats. A multiple tandem repeat in a sequence S is a (periodic) substring r of S of the form r = u(a)u', where u is a prefix of r and u' is a prefix of u. An approximate multiple tandem repeat is a multiple repeat with errors; the repeated subsequences are similar but not identical. We precisely define approximate multiple repeats, and present an algorithm that finds all repeats that concur with our definition. The time complexity of the algorithm, when searching for repeats with up to k errors in a string S of length n, is O(nka log (n/k)) where a is the maximum number of periods in any reported repeat. We present some experimental results concerning the performance and sensitivity of our algorithm. The problem of finding repeats within a string is a computational problem with important applications in the field of molecular biology. Both exact and inexact repeats occur frequently in the genome, and certain repeats occurring in the genome are known to be related to diseases in the human.

Algorithms↗

Locating alignments with k differences for nucleotide and amino acid sequences.

Given two sequences, a pattern of length m, a text of length n and a positive integer k, we give two algorithms. The first finds all occurrences of the pattern in the text as long as these do not differ from each other by more than k differences. It runs in O(nk) time. The second algorithm finds all subsequence alignments between the pattern and the test with at most k differences. This algorithm runs in O(nmk) time, is very simple and easy to program.

Algorithms↗

An efficient string matching algorithm with k differences for nucleotide and amino acid sequences.

There are a few algorithms designed to solve the problem of the optimal alignment of one sequence, the pattern, of length m, with another, longer sequence the text, of length n. These algorithms allow mismatches, deletions and insertions. Algorithms to date run in O(mn) time. Let us define an integer, k, which is the maximal number of differences allowed. We present a simple algorithm showing that sequences can be optimally aligned in O(k2n) time. For long sequences the gain factor over the currently used algorithms is very large.

Amino Acid Sequence↗