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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Algorithms and Complexity Results for Genome Mapping Problems

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Author(s):
Rajaraman, Ashok ; Pereira Zanetti, Joao Paulo ; Manuch, Jan ; Chauve, Cedric
Total Authors: 4
Document type: Journal article
Source: IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS; v. 14, n. 2, p. 418-430, MAR-APR 2017.
Web of Science Citations: 2
Abstract

Genome mapping algorithms aim at computing an ordering of a set of genomic markers based on local ordering information such as adjacencies and intervals of markers. In most genome mapping models, markers are assumed to occur uniquely in the resulting map. We introduce algorithmic questions that consider repeats, i.e., markers that can have several occurrences in the resulting map. We show that, provided with an upper bound on the copy number of repeated markers and with intervals that span full repeat copies, called repeat spanning intervals, the problem of deciding if a set of adjacencies and repeat spanning intervals admits a genome representation is tractable if the target genome can contain linear and/or circular chromosomal fragments. We also show that extracting a maximum cardinality or weight subset of repeat spanning intervals given a set of adjacencies that admits a genome realization is NP-hard but fixed-parameter tractable in the maximum copy number and the number of adjacent repeats, and tractable if intervals contain a single repeated marker. (AU)

FAPESP's process: 13/07868-6 - Algebraic model for genome rearrangements
Grantee:João Paulo Pereira Zanetti
Support Opportunities: Scholarships abroad - Research Internship - Doctorate