Optimal group testing strategies with interval queries and their application to splice site detection
Paper in proceeding, 2005

The classical Group Testing Problem is: Given a finite set of items {1,2,..., n} and an unknown subset P of up to p positive elements, identify P by asking the least number of queries of the type ``does the subset Q intersect P?". In our case, Q must be a subset of consecutive elements. This problem naturally arises in several scenarios, most notably in Computational Biology. We focus on algorithms in which queries are arranged in stages: in each stage, queries can be performed in parallel, and be chosen depending on the answers to queries in previous stages. Algorithms that operate in few stages are usually preferred in practice. First we study the case p=1 comprehensively. For two-stage strategies for arbitrary p we obtain asymptotically tight bounds on the number of queries. Furthermore we prove bounds for any number of stages and positives, and we discuss the problem with the restriction that query intervals have some bounded length d.

splice sites

gene prediction

combinatorial group testing


Peter Damaschke

Peter Damaschke

Chalmers, Computer Science and Engineering (Chalmers), Computing Science (Chalmers)

Ugo Vaccaro

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

03029743 (ISSN) 16113349 (eISSN)

Vol. 3515 1029-1037

Subject Categories

Computer and Information Science

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