Title
BLogo: a tool for visualization of bias in biological sequences.
Abstract
Blogo is a web-based tool that detects and displays statistically significant position-specific sequence bias with reduced background noise. The over-represented and under-represented symbols in a particular position are shown above and below the zero line. When the sequences are in open reading frames, the background frequency of nucleotides could be calculated separately for the three positions of a codon, thus greatly reducing the background noise. The chi(2)-test or Fishers exact test is used to evaluate the statistical significance of every symbol in every position and only those that are significant are highlighted in the resulting logo. The perl source code of the program is freely available and can be run locally.
Year
DOI
Venue
2008
10.1093/bioinformatics/btn407
BIOINFORMATICS
Keywords
Field
DocType
statistical significance,source code,nucleotides,open reading frame,exact test
Background noise,Symbol,Source code,Visualization,Computer science,Algorithm,Exact test,Bioinformatics,Perl
Journal
Volume
Issue
ISSN
24
19
1367-4803
Citations 
PageRank 
References 
3
0.49
2
Authors
7
Name
Order
Citations
PageRank
Wencheng Li151.57
Bo Yang230.49
Shaoguang Liang330.49
Yonghua Wang433.19
Chris Whiteley581.38
Yicheng Cao641.51
Xiaoning Wang730.49