| Class Specialization Score Manhattan Scoring scheme for chaining that computes gap scores using manhattan distance.
Score
Score Manhattan
Score<TValue, Manhattan> Parameters
TValue | Type of the score values.
Specialization of Score Functions
alignmentEvaluation | Given a multiple alignment, this function calculates all kinds of alignment statistics. (Score)
globalAlignment | Computes the best global alignment of the two sequences. (Score)
localAlignment | Computes the best local alignment of two sequences. (Score)
matchRefinement | Refines (i.e. cuts into smaller parts) a set of pairwise segment matches in such a way that none of the segments partly overlap. They are either identical (fully overlapping) or non-overlapping. Refines (i.e. cuts into smaller parts) a set of pairwise segment matches in such a way that none of the segments partly overlap. They are either identical (fully overlapping) or non-overlapping. (Score)
multiLocalAlignment | Computes multiple local alignments of two sequences. (Score)
score | The score for aligning two values according to a scoring scheme. (Score)
smithWaterman | Computes the best local alignment of the (two) sequences given in align. (Score)
smithWatermanGetNext | Computes next best local alignment. (Score)
sumOfPairsScore | Given a multiple alignment, this function calculates the sum-of-pairs score. (Score)
Remarks The manhattan distance between two n-dimensional points is defined is the sum of the (absolute) differences of their coordinates. Example Programs Global Alignments, Local Alignments SeqAn - Sequence Analysis Library - www.seqan.de