E-Cyanobacterium.org: A Web-Based Platform for Systems Biology
of Cyanobacteria

D 2016

E-Cyanobacterium.org: A Web-Based Platform for Systems Biology of Cyanobacteria

TROJÁK, Matej, David ŠAFRÁNEK, Jakub HRABEC, Jakub ŠALAGOVIČ, Františka ROMANOVSKÁ et. al.

Basic information

Original name

E-Cyanobacterium.org: A Web-Based Platform for Systems Biology of Cyanobacteria

Authors

TROJÁK, Matej (703 Slovakia, belonging to the institution), David ŠAFRÁNEK (203 Czech Republic, guarantor, belonging to the institution), Jakub HRABEC (203 Czech Republic, belonging to the institution), Jakub ŠALAGOVIČ (703 Slovakia, belonging to the institution), Františka ROMANOVSKÁ (203 Czech Republic, belonging to the institution) and Jan ČERVENÝ (203 Czech Republic)

Edition

Heidelberg, Computational Methods in Systems Biology. CMSB 2016. p. 316-322, 7 pp. 2016

Publisher

Springer

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

References:

URL

Impact factor

Impact factor: 0.402 in 2005

RIV identification code

RIV/00216224:14330/16:00088449

Organization unit

Faculty of Informatics

ISBN

978-3-319-45176-3

ISSN

DOI

http://dx.doi.org/10.1007/978-3-319-45177-0_20

UT WoS

000460685100020

Keywords in English

systems biology; model repository; model analysis; model specification

Abstract

V originále

E-cyanobacterium.org is an online platform providing tools for public sharing, annotation, analysis, and visualization of dynamical models and wet-lab experiments related to cyanobacteria. The platform is unique in integrating abstract mathematical models with a precise consortium-agreed biochemical description provided in a rule-based formalism. The general aim is to stimulate collaboration between experimental and computational systems biologists to achieve better understanding of cyanobacteria.

Links

GA15-11089S, research and development project

Name: Získávání parametrů biologických modelů pomocí techniky ověřování modelů

Investor: Czech Science Foundation

LM2015055, research and development project

Name: Centrum pro systémovou biologii (Acronym: C4SYS)

Investor: Ministry of Education, Youth and Sports of the CR

Citovat

TROJÁK, Matej, David ŠAFRÁNEK, Jakub HRABEC, Jakub ŠALAGOVIČ, Františka ROMANOVSKÁ and Jan ČERVENÝ. E-Cyanobacterium.org: A Web-Based Platform for Systems Biology of Cyanobacteria. In Ezio Bartocci et al. Computational Methods in Systems Biology. CMSB 2016. Heidelberg: Springer, 2016, p. 316-322. ISBN 978-3-319-45176-3. Available from: https://dx.doi.org/10.1007/978-3-319-45177-0_20.

@inproceedings{1365006,
   author = {Troják, Matej and Šafránek, David and Hrabec, Jakub and Šalagovič, Jakub and Romanovská, Františka and Červený, Jan},
   address = {Heidelberg},
   booktitle = {Computational Methods in Systems Biology. CMSB 2016.},
   doi = {http://dx.doi.org/10.1007/978-3-319-45177-0_20},
   editor = {Ezio Bartocci et al.},
   keywords = {systems biology; model repository; model analysis; model specification},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Heidelberg},
   isbn = {978-3-319-45176-3},
   pages = {316-322},
   publisher = {Springer},
   title = {E-Cyanobacterium.org: A Web-Based Platform for Systems Biology of Cyanobacteria},
   url = {http://link.springer.com/chapter/10.1007%2F978-3-319-45177-0_20},
   year = {2016}
}

TY  - JOUR
ID  - 1365006
AU  - Troják, Matej - Šafránek, David - Hrabec, Jakub - Šalagovič, Jakub - Romanovská, Františka - Červený, Jan
PY  - 2016
TI  - E-Cyanobacterium.org: A Web-Based Platform for Systems Biology of Cyanobacteria
PB  - Springer
CY  - Heidelberg
SN  - 9783319451763
KW  - systems biology
KW  - model repository
KW  - model analysis
KW  - model specification
UR  - http://link.springer.com/chapter/10.1007%2F978-3-319-45177-0_20
N2  - E-cyanobacterium.org is an online platform providing tools for public sharing, annotation, analysis, and visualization of dynamical models and wet-lab experiments related to cyanobacteria. The platform is unique in integrating abstract mathematical models with a precise consortium-agreed biochemical description provided in a rule-based formalism. The general aim is to stimulate collaboration between experimental and computational systems biologists to achieve better understanding of cyanobacteria.
ER  -

TROJÁK, Matej, David ŠAFRÁNEK, Jakub HRABEC, Jakub ŠALAGOVIČ, Františka ROMANOVSKÁ and Jan ČERVENÝ. E-Cyanobacterium.org: A Web-Based Platform for Systems Biology of Cyanobacteria. In Ezio Bartocci et al. \textit{Computational Methods in Systems Biology. CMSB 2016.}. Heidelberg: Springer, 2016, p.~316-322. ISBN~978-3-319-45176-3. Available from: https://dx.doi.org/10.1007/978-3-319-45177-0\_{}20.

Detailed Information on Publication Record