MASIA: Recognition of common patterns and properties in multiple aligned protein sequences

H. Zhu; C. H. Schein; W. Braun

doi:10.1093/bioinformatics/16.10.950

MASIA: Recognition of common patterns and properties in multiple aligned protein sequences

H. Zhu, C. H. Schein, W. Braun

Research output: Contribution to journal › Article › peer-review

13 Scopus citations

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 language	English (US)
Pages (from-to)	950-951
Number of pages	2
Journal	Bioinformatics
Volume	16
Issue number	10
DOIs	https://doi.org/10.1093/bioinformatics/16.10.950
State	Published - 2000
Externally published	Yes

ASJC Scopus subject areas

Statistics and Probability
Biochemistry
Molecular Biology
Computer Science Applications
Computational Theory and Mathematics
Computational Mathematics

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10.1093/bioinformatics/16.10.950

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title = "MASIA: Recognition of common patterns and properties in multiple aligned protein sequences",

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.",

author = "H. Zhu and Schein, {C. H.} and W. Braun",

note = "Funding Information: This work was supported by the NSF (DBI-9714937), the US DOE (DE-FG03-96ER62267), the Sealy and Smith Foundation and an ARP grant (004952-0084-1999) of the Texas Higher Education Coordinating Board.",

year = "2000",

doi = "10.1093/bioinformatics/16.10.950",

language = "English (US)",

volume = "16",

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journal = "Bioinformatics",

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T2 - Recognition of common patterns and properties in multiple aligned protein sequences

AU - Zhu, H.

AU - Schein, C. H.

AU - Braun, W.

N1 - Funding Information: This work was supported by the NSF (DBI-9714937), the US DOE (DE-FG03-96ER62267), the Sealy and Smith Foundation and an ARP grant (004952-0084-1999) of the Texas Higher Education Coordinating Board.

PY - 2000

Y1 - 2000

N2 - 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.

AB - 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.

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JO - Bioinformatics

JF - Bioinformatics

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ER -

MASIA: Recognition of common patterns and properties in multiple aligned protein sequences

Abstract

ASJC Scopus subject areas

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