A novel approach to local reliability of sequence alignments.
Motivation: The pairwise alignment of biological sequences obtained from an algorithm will in general contain both correct and incorrect parts. Hence, to allow for a valid interpretation of the alignment, the local trustworthiness of the alignment has to be quantified. Results: We present a novel approach that attributes a reliability index to every pair of residues, including gapped regions, in t