Fast Label Extraction in the CDAWG

The compact directed acyclic word graph (CDAWG) of a string T of length n takes space proportional just to the number e of right extensions of the maximal repeats of T , and it is thus an appealing index for highly repetitive datasets, like collections of genomes from similar species, in which e grows significantly more slowly than n. We reduce from O(m log log n) to O(m) the time needed to count the number of occurrences of a pattern of length m, using an existing data structure that takes an amount of space proportional to the size of the CDAWG. This implies a reduction from O(m log log n+ occ) to O(m+ occ) in the time needed to locate all the occ occurrences of the pattern. We also reduce from O(k log log n) to O(k) the time needed to read the k characters of the label of an edge of the suffix tree of T , and we reduce from O(m log log n) to O(m) the time needed to compute the matching statistics between a query of length m and T , using an existing representation of the suffix tree based on the CDAWG. All such improvements derive from extracting the label of a vertex or of an arc of the CDAWG using a straight-line program induced by the reversed CDAWG.