2010年
Cell illustrator 4.0: A computational platform for systems biology
In Silico Biology
- ,
- ,
- ,
- ,
- ,
- ,
- 巻
- 10
- 号
- 1-2
- 開始ページ
- 5
- 終了ページ
- 26
- 記述言語
- 英語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.3233/ISB-2010-0415
Cell Illustrator is a software platform for Systems Biology that uses the concept of Petri net for modeling and simulating biopathways. It is intended for biological scientists working at bench. The latest version of Cell Illustrator 4.0 uses Java Web Start technology and is enhanced with new capabilities, including: automatic graph grid layout algorithms using ontology information
tools using Cell System Markup Language (CSML) 3.0 and Cell System Ontology 3.0
parameter search module
high-performance simulation module
CSML database management system
conversion from CSML model to programming languages (FORTRAN, C, C++, Java, Python and Perl)
import from SBML, CellML, and BioPAX
and, export to SVG and HTML. Cell Illustrator employs an extension of hybrid Petri net in an object-oriented style so that biopathway models can include objects such as DNA sequence, molecular density, 3D localization information, transcription with frame-shift, translation with codon table, as well as biochemical reactions. © 2010-IOS Press and Bioinformation Systems e.V. and the authors. All rights reserved.
tools using Cell System Markup Language (CSML) 3.0 and Cell System Ontology 3.0
parameter search module
high-performance simulation module
CSML database management system
conversion from CSML model to programming languages (FORTRAN, C, C++, Java, Python and Perl)
import from SBML, CellML, and BioPAX
and, export to SVG and HTML. Cell Illustrator employs an extension of hybrid Petri net in an object-oriented style so that biopathway models can include objects such as DNA sequence, molecular density, 3D localization information, transcription with frame-shift, translation with codon table, as well as biochemical reactions. © 2010-IOS Press and Bioinformation Systems e.V. and the authors. All rights reserved.
- ID情報
-
- DOI : 10.3233/ISB-2010-0415
- ISSN : 1434-3207
- PubMed ID : 22430219
- SCOPUS ID : 77952066951