SEGID: Identifying Interesting Segments in (Multiple) Sequence Alignments | Zendy

Lusheng Wang | Zendy; Ying Xu | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

SEGID: Identifying Interesting Segments in (Multiple) Sequence Alignments

Author(s) -

Lusheng Wang,

Ying Xu

Publication year - 2003

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/19.2.297

Subject(s) - multiple sequence alignment , sequence (biology) , alignment free sequence analysis , sequence alignment , computer science , column (typography) , sequence logo , sequence analysis , computational biology , biology , genetics , peptide sequence , telecommunications , frame (networking) , gene

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research