Modelling yeast Pre-rRNA processing

Federica Ciocchetta; Jane Hillston; Martin Kos; David Tollervey

Modelling yeast Pre-rRNA processing

Federica Ciocchetta, Jane Hillston, Martin Kos, David Tollervey

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper we present a quantified model concerning the synthesis of pre-rRNAs. The chemical kinetics simulation software Dizzy has been chosen as both the modelling and simulation framework of our study. We discuss the validation of the model against the available ex-perimental data and we show some preliminary results obtained from the study of our model. All the analyses are based on stochastic simulation.

Original language	English
Title of host publication	Computational Methods in Systems Biology, Proceedings
Editors	M Calder, S Gilmore
Place of Publication	BERLIN
Publisher	Springer
Pages	32-47
Number of pages	16
ISBN (Print)	978-3-540-75139-7
Publication status	Published - 2007
Event	International Conference on Computational Methods in Systems Biology - Edinburgh Duration: 20 Sept 2007 → 21 Sept 2007

Conference

Conference	International Conference on Computational Methods in Systems Biology
City	Edinburgh
Period	20/09/07 → 21/09/07

Access to Document

https://www.springer.com/gb/book/9783540751397

CODA: Process Algebra Approaches to Collective Dynamics.
Hillston, J. (Principal Investigator)
EPSRC
1/12/06 → 30/11/09
Project: Research
CODA: Process Algebra Approaches to Collective Dynamics
Hillston, J. (Principal Investigator)
EPSRC
1/10/05 → 30/09/10
Project: Research

Cite this

@inproceedings{0bc00576de7b4ba4bca8d3e24e759f9a,

title = "Modelling yeast Pre-rRNA processing",

abstract = "In this paper we present a quantified model concerning the synthesis of pre-rRNAs. The chemical kinetics simulation software Dizzy has been chosen as both the modelling and simulation framework of our study. We discuss the validation of the model against the available ex-perimental data and we show some preliminary results obtained from the study of our model. All the analyses are based on stochastic simulation.",

author = "Federica Ciocchetta and Jane Hillston and Martin Kos and David Tollervey",

year = "2007",

language = "English",

isbn = "978-3-540-75139-7",

pages = "32--47",

editor = "M Calder and S Gilmore",

booktitle = "Computational Methods in Systems Biology, Proceedings",

publisher = "Springer",

address = "United Kingdom",

note = "International Conference on Computational Methods in Systems Biology ; Conference date: 20-09-2007 Through 21-09-2007",

}

TY - GEN

T1 - Modelling yeast Pre-rRNA processing

AU - Ciocchetta, Federica

AU - Hillston, Jane

AU - Kos, Martin

AU - Tollervey, David

PY - 2007

Y1 - 2007

N2 - In this paper we present a quantified model concerning the synthesis of pre-rRNAs. The chemical kinetics simulation software Dizzy has been chosen as both the modelling and simulation framework of our study. We discuss the validation of the model against the available ex-perimental data and we show some preliminary results obtained from the study of our model. All the analyses are based on stochastic simulation.

AB - In this paper we present a quantified model concerning the synthesis of pre-rRNAs. The chemical kinetics simulation software Dizzy has been chosen as both the modelling and simulation framework of our study. We discuss the validation of the model against the available ex-perimental data and we show some preliminary results obtained from the study of our model. All the analyses are based on stochastic simulation.

M3 - Conference contribution

SN - 978-3-540-75139-7

SP - 32

EP - 47

BT - Computational Methods in Systems Biology, Proceedings

A2 - Calder, M

A2 - Gilmore, S

PB - Springer

CY - BERLIN

T2 - International Conference on Computational Methods in Systems Biology

Y2 - 20 September 2007 through 21 September 2007

ER -

Modelling yeast Pre-rRNA processing

Abstract

Conference

Access to Document

Fingerprint

Projects

CODA: Process Algebra Approaches to Collective Dynamics.

CODA: Process Algebra Approaches to Collective Dynamics

Cite this