MASIA

Recognition of common patterns and properties in multiple aligned protein sequences

H. Zhu, C. H. Schein, Werner Braun

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

MASIA is a software tool for pattern recognition in multiple aligned protein sequences. MASIA converts a sequence to a properties matrix that can be scanned in both vertical and horizontal steps. Consistent patterns are recognized based on the statistical significance of their occurrence. Preset macros can be altered on-line to seek any combination of amino acid properties or sequence characteristics. MASIA output can be used directly by our programs to predict the 3D structure of proteins.

Original languageEnglish (US)
Pages (from-to)950-951
Number of pages2
JournalBioinformatics
Volume16
Issue number10
StatePublished - 2000

Fingerprint

Protein Sequence
Proteins
Statistical Significance
Software Tools
Pattern Recognition
Pattern recognition
Convert
Macros
Amino Acids
Amino acids
Horizontal
Software
Vertical
Protein
Predict
Output

ASJC Scopus subject areas

  • Clinical Biochemistry
  • Computer Science Applications
  • Computational Theory and Mathematics

Cite this

MASIA : Recognition of common patterns and properties in multiple aligned protein sequences. / Zhu, H.; Schein, C. H.; Braun, Werner.

In: Bioinformatics, Vol. 16, No. 10, 2000, p. 950-951.

Research output: Contribution to journalArticle

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