We provide a brief survey of results on solving the approximate pattern matching problem using search schemes, as introduced by Kucherov et al. (2016). We demonstrate that search schemes constitute a flexible and versatile tool that enable the specification of various search strategies, including several known filtering methods. We present approaches for designing efficient search schemes and for implementing them effectively. Finally, we conclude with experimental results comparing multiple search schemes on DNA sequencing data using the Columba software by Renders et al. (2021).
@InProceedings{depuydt_et_al:OASIcs.Manzini.9, author = {Depuydt, Lore and Fostier, Jan and Gottlieb, Simon and Kucherov, Gregory and Reinert, Knut and Renders, Luca}, title = {{Search Schemes for Approximate Pattern Matching: An Overview}}, booktitle = {The Expanding World of Compressed Data: A Festschrift for Giovanni Manzini's 60th Birthday}, pages = {9:1--9:16}, series = {Open Access Series in Informatics (OASIcs)}, ISBN = {978-3-95977-390-4}, ISSN = {2190-6807}, year = {2025}, volume = {131}, editor = {Ferragina, Paolo and Gagie, Travis and Navarro, Gonzalo}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.Manzini.9}, URN = {urn:nbn:de:0030-drops-239172}, doi = {10.4230/OASIcs.Manzini.9}, annote = {Keywords: FM-index, bidirectional index, approximate pattern matching, search scheme} }
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