H-BloX
H-BloX computes and visualizes Shannon information content and relative entropy (Kullback-Leibler 'distance') across sequence alignment blocks to quantify conservation and chemical diversity.
Key Features:
- Versatile Input Compatibility: Accepts amino acid sequences, nucleic acids, or any aligned chemical structures for analysis.
- Entropy Calculations: Computes Shannon information content and relative entropy (Kullback-Leibler 'distance') within sequence alignment blocks.
- Custom Alphabet Conversion: Requires conversion of numerical data into a user-defined character alphabet prior to entropy or information-content computation.
- Hydrophobicity-based Alphabet: Converts amino acid sequences into an alphabet based on hydrophobicity assignments to analyze hydrophobic features.
- Visualization of Information Content: Produces visual representations of information content or relative entropy mapped onto alignment blocks.
Scientific Applications:
- Signal peptide analysis in Escherichia coli: Revealed the hydrophobic core region and the characteristic '-3,-1' cleavage site pattern, pinpointing the hydrophobic-core center at amino acid residue position 13 from the N-terminal end of the precursor sequence.
Methodology:
Computes Shannon information content and Kullback-Leibler relative entropy within sequence alignment blocks; converts numerical data into user-defined character alphabets and converts amino acid sequences into hydrophobicity-based alphabets prior to entropy computation.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- JavaScript
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Zuegge J, Ebeling M, Schneider G. H-BloX: visualizing alignment block entropies. Journal of Molecular Graphics and Modelling. 2001;19(3-4):304-306. doi:10.1016/s1093-3263(00)00074-7. PMID:11449568.
PMID: 11449568