Class Specialization

Score Manhattan

Scoring scheme for chaining that computes gap scores using manhattan distance.

Score Manhattan |

Parameters

Type of the score values. |

Remarks

The manhattan distance between two n-dimensional points is defined is the sum of the (absolute) differences of their coordinates.

Specialization of

Metafunctions

Type of the default findBegin pattern specialization, given a score. (Score) | |

Type of the items in the container. (Score) |

Functions

Given a multiple alignment, this function calculates all kinds of alignment statistics. (Score) | |

Computes the best global alignment of the two sequences. (Score) | |

Computes a global multiple alignment. (Score) | |

Computes the best local alignment of two sequences. (Score) | |

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) | |

Computes multiple local alignments of two sequences. (Score) | |

Returns the score for aligning the characters | |

Returns the score for aligning the characters | |

Given a multiple alignment, this function calculates the sum-of-pairs score. (Score) |

Example Programs

SeqAn - Sequence Analysis Library - www.seqan.de