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Then we show that with some preprocessing, the minimum block edit distances of these three problems can be obtained by dynamic programming in O(nm), O(nmlogm) and O(nm2) time, respectively, where n and m are the lengths of the two input strings.
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From a theoretical perspective, Cormode et al. introduced block edit distance (Cormode et al., 2000) as the minimum number segment deletions, duplications and translocations in addition to single-nucleotide insertions, deletions to transform (and align) one sequence to another.
Block edit distance in its most general setting is NP-hard to compute; Ergün et al. (2003) investigated many variants of the block edit distance under several restrictions that make the alignment problem computationally tractable.
A minimum block size of five with one gap was allowed in the analyses.
This despite reducing the minimum block length as low as 2 in SynMap.
Morpholinos can block editing of RNA.
In this paper, we focus on the edit distance between two given strings where block-edit operations are allowed and better fitting to the human natural edit behaviors.
Report the haplotype phasing with the binning of minimum total edit distance as the optimal phasing.
The edit distance is the minimum number of edit operations: insertion, deletion, and substitution, which are needed to convert two strings into each other.
The edit distance of two strings is defined as the minimum number of edit operations to transform one string into the other string, where an edit operation is an insertion, a deletion, or the replacement of a single character.
Edit distance between two strings is the minimum number of edit operations that have to be performed to transform the first string into the second.
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