SCOPE

SPIRE 2025 covers research in all aspects of string processing, information retrieval, computational biology, and related applications. Typical topics of interest include (but are not limited to):

String Processing: ​ string pattern matching, text indexing, data structures for string processing, text compression, compressed data structures, compressed string processing, text mining, 2D pattern matching, automata based string processing, combinatorics on words.

Computational Biology: algorithms for DNA sequencing, assembly, alignments, read error correction, metagenomics, transcriptomics, gene and regulatory element recognition, motif finding, pangenomics, variants discovery, phylogenetics, genome rearrangements.

Information Retrieval: Retrieval models and ranking. Theoretical models and foundations of IR. Efficiency and scalability topics in IR. Knowledge acquisition in IR. Machine Learning and Natural Language Processing for IR. Knowledge representation and reasoning for IR. User-centric aspects of IR. IR Evaluation. Fairness, accountability, transparency in IR. Domain-specific IR applications. Web search.