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 Fisher's 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.
  
  
  BACKGROUND
  http://acephpx.cropdb.org/blogo/, http://www.bioinformatics.org/blogo/.
authors.affiliation: School of Bioscience and Bioengineering, South China University of Technology, Guangzhou 510641, China.
authors.forename: Wencheng
authors.initials: W
authors.lastname: Li
authors.forename: Bo
authors.initials: B
authors.lastname: Yang
authors.forename: Shaoguang
authors.initials: S
authors.lastname: Liang
authors.forename: Yonghua
authors.initials: Y
authors.lastname: Wang
authors.forename: Chris
authors.initials: C
authors.lastname: Whiteley
authors.forename: Yicheng
authors.initials: Y
authors.lastname: Cao
authors.forename: Xiaoning
authors.initials: X
authors.lastname: Wang
mesh_terms: D000465:Algorithms; D001483:Base Sequence; D019295:Computational Biology; D016366:Open Reading Frames; D016415:Sequence Alignment; D017421:Sequence Analysis; D012984:Software