Abstract
An elastic degenerate string (EDS) is a sequence of sets of strings. In the context of bioinformatics, EDSes can be used to represent the variations observed in a population from its consensus genome. Pattern matching and comparison problems on EDSes have been widely studied in the literature, but their construction has been largely omitted. We fill this gap by showing how algorithms originally developed for related problems of founder reconstruction can be adapted to minimize the total cardinality of the EDS sets and total length of the EDS strings in linear time, given suitable multiple alignments representing the input data.
| Original language | English |
|---|---|
| Title of host publication | From Strings to Graphs, and Back Again : A Festschrift for Roberto Grossi's 60th Birthday |
| Editors | Alessio Conte, Alessio Conte, Andrea Marino, Giovanna Rosone, Jeffrey Scott Vitter, Jeffrey Scott Vitter |
| Publisher | Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing |
| Publication date | 11 Aug 2025 |
| Article number | 2 |
| ISBN (Electronic) | 978-3-95977-391-1 |
| DOIs | |
| Publication status | Published - 11 Aug 2025 |
| MoE publication type | A4 Article in conference proceedings |
| Event | From Strings to Graphs, and Back Again: A Festschrift for Roberto Grossi's 60th Birthday 2025 - Venice, Italy Duration: 25 Jul 2025 → … |
Publication series
| Name | OpenAccess Series in Informatics |
|---|---|
| Volume | 132 |
| ISSN (Print) | 2190-6807 |
Bibliographical note
Publisher Copyright:© Nicola Rizzo, Veli Mäkinen, and Nadia Pisanti;
Fields of Science
- data structures
- dynamic programming
- founder reconstruction
- multiple sequence alignment
- pattern matching
- positional Burrows–Wheeler transform
- segmentation algorithms
- semi-dynamic range minimum queries
- 113 Computer and information sciences
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