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PMID: 8019859 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, P.H.S.

SEQSEE: a comprehensive program suite for protein sequence analysis.

Computer applications in the biosciences : CABIOS ·Vol. 10 ·No. 2 ·1994-04-00 ·Pages 121-32

Wishart DS, Boyko RF, Willard L, Richards FM, Sykes BD

Abstract

SEQSEE (SEQuence SEEker) is a multi-purpose, menu-driven suite of programs designed to provide a fully integrated, state-of-the-art package for the analysis and display of protein sequences and protein databases. It is currently configured to run on most UNIX-based machines including Sun, SGI and NeXT workstations with conversion to other architectures (e.g. Vax or Cray) being a relatively simple task. SEQSEE is capable of performing nearly all of the analytical and comparative tasks found in most comprehensive commercially available software packages. These include sequence/database searching, sequence retrieval, sequence entry and editing, statistical sequence analysis, multiple sequence alignment, flexible pattern matching, and secondary structure prediction. SEQSEE also integrates a number of unique databases which allow it to perform many additional functions such as structure-based sequence alignments and homology-based secondary structure prediction. Additional enhancements to many previously published algorithms have substantially improved the performance of SEQSEE over that found for most other commercial products. The source code, the documentation and all of the required databases for SEQSEE are freely available and may be obtained by anonymous ftp.

MeSH Terms
Algorithms Amino Acid Sequence Molecular Sequence Data Pattern Recognition, Automated Sequence Analysis Software Software Design User-Computer Interface
Authors & Affiliations
5 authors, click to expand affiliations / ORCID
Wishart D S
Department of Biochemistry, University of Alberta, Edmonton, Canada.
Boyko R F
Willard L
Richards F M
Sykes B D
Article Info
Journal
Computer applications in the biosciences : CABIOS
Abbr.
Comput Appl Biosci
ISSN
0266-7061
Published
1994-04-00
Pages
121-32
Language
English
Region
England
NLM ID
8511758
Subset
IM
Grants
NIGMS NIH HHS · GM-22778 · United States
Analysis Services
Analysis Services

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