WebLogo is a tool developed by Gavin E. Crooks, Gary Hon, John-Marc Chandonia, and Steven E. Brenner to generate sequence logos, graphical representations of patterns within multiple sequence alignments. Sequence logos provide a detailed and precise description of sequence similarity, revealing significant features that are often difficult to perceive in consensus sequences. Each logo consists of stacks of letters, with the height of each stack indicating sequence conservation and the height of symbols reflecting their relative frequency. WebLogo has been enhanced with additional features and options, including a command-line interface and open-source code for local installation and customization. The tool can process RNA, DNA, or protein alignments in FASTA or CLUSTAL formats and supports various output formats such as GIF, PNG, EPS, and PDF. WebLogo is widely used in various biological contexts, including DNA binding sites, protein sequences, and splice sites, and has been instrumental in understanding sequence-specific binding and conservation patterns.WebLogo is a tool developed by Gavin E. Crooks, Gary Hon, John-Marc Chandonia, and Steven E. Brenner to generate sequence logos, graphical representations of patterns within multiple sequence alignments. Sequence logos provide a detailed and precise description of sequence similarity, revealing significant features that are often difficult to perceive in consensus sequences. Each logo consists of stacks of letters, with the height of each stack indicating sequence conservation and the height of symbols reflecting their relative frequency. WebLogo has been enhanced with additional features and options, including a command-line interface and open-source code for local installation and customization. The tool can process RNA, DNA, or protein alignments in FASTA or CLUSTAL formats and supports various output formats such as GIF, PNG, EPS, and PDF. WebLogo is widely used in various biological contexts, including DNA binding sites, protein sequences, and splice sites, and has been instrumental in understanding sequence-specific binding and conservation patterns.