Open AccessWebLogo: A Sequence Logo Generator: Figure 1
Author(s) -
Gavin E. Crooks,
Gary C. Hon,
JohnMarc Chandonia,
Steven E. Brenner
Publication year - 2004
Publication title -
genome research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.556
H-Index - 297
eISSN - 1549-5469
pISSN - 1088-9051
DOI - 10.1101/gr.849004
Subject(s) - sequence logo , sequence (biology) , generator (circuit theory) , stack (abstract data type) , position (finance) , logos bible software , biology , similarity (geometry) , computer science , logo (programming language) , sequence alignment , artificial intelligence , consensus sequence , base sequence , genetics , programming language , peptide sequence , dna , physics , image (mathematics) , power (physics) , finance , quantum mechanics , gene , economics , operating system
WebLogo generates sequence logos, graphical representations of the patterns within a multiple sequence alignment. Sequence logos provide a richer and more precise description of sequence similarity than consensus sequences and can rapidly reveal significant features of the alignment otherwise difficult to perceive. Each logo consists of stacks of letters, one stack for each position in the sequence. The overall height of each stack indicates the sequence conservation at that position (measured in bits), whereas the height of symbols within the stack reflects the relative frequency of the corresponding amino or nucleic acid at that position. WebLogo has been enhanced recently with additional features and options, to provide a convenient and highly configurable sequence logo generator. A command line interface and the complete, open WebLogo source code are available for local installation and customization.
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