SEGID: Identifying Interesting Segments in (Multiple) Sequence Alignments
نویسندگان
چکیده
SUMMARY SEGID is a tool for finding conserved regions (regions of high scores) for a given (multiple) sequence alignment. It takes a (multiple) sequence alignment as its input and converts the alignment into a sequence of numbers, where each number is the alignment score of a column. Three algorithms are used to identify regions of high scores. A graphical interface is provided to present those identified regions. AVAILABILITY Free from http://www.cs.cityu.edu.hk/~lwang/segid/subject to copyright restrictions.
منابع مشابه
Definitions and Algorithms in SEGID
Given a (multiple) sequence alignment, SEGID first converts it into a sequence of numbers, where each number is the alignment score of a column. (SEGID also directly accepts a sequence of numbers as input.) Then it provides three algorithms to identify conserved segments (high score substrings): 1. Longest segment (with average value lower bound): given a string of numbers and a number A, find ...
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ورودعنوان ژورنال:
- Bioinformatics
دوره 19 2 شماره
صفحات -
تاریخ انتشار 2003