Please note that eDoc will be permanently shut down in the first quarter of 2021!      Home News About Us Contact Contributors Disclaimer Privacy Policy Help FAQ

Home
Search
Quick Search
Advanced
Fulltext
Browse
Collections
Persons
My eDoc
Session History
Login
Name:
Password:
Documentation
Help
Support Wiki
Direct access to
document ID:


          Institute: MPI für molekulare Genetik     Collection: Department of Vertebrate Genomics     Display Documents



  history
ID: 25770.0, MPI für molekulare Genetik / Department of Vertebrate Genomics
Simulation of DNA array hybridization experiments and evaluation of critical parameters during subsequent image and data analysis
Authors:Wierling, Christoph K.; Steinfath, Matthias; Elge, Thorsten; Schulze-Kremer, Steffen; Aanstad, Pia; Clark, Matthew; Lehrach, Hans; Herwig, Ralf
Language:English
Date of Publication (YYYY-MM-DD):2002-10-22
Title of Journal:BMC Bioinformatics
Volume:3
Issue / Number:1
Start Page:29
End Page:29
Review Status:not specified
Audience:Experts Only
Abstract / Description:Background:
Gene expression analyses based on complex hybridization measurements have increased rapidly in recent years and have given rise to a huge amount of bioinformatic tools such as image analyses and cluster analyses. However, the amount of work done to integrate and evaluate these tools and the corresponding experimental procedures is not high. Although complex hybridization experiments are based on a data production pipeline that incorporates a significant amount of error parameters, the evaluation of these parameters has not been studied yet in sufficient detail.
Results:
In this paper we present simulation studies on several error parameters arising in complex hybridization experiments. A general tool was developed that allows the design of exactly defined hybridization data incorporating, for example, variations of spot shapes, spot positions and local and global background noise. The simulation environment was used to judge the influence of these parameters on subsequent data analysis, for example image analysis and the detection of differentially expressed genes. As a guide for simulating expression data real experimental data were used and model parameters were adapted to these data. Our results show how measurement error can be balanced by the analysis tools.
Conclusions:
We describe an implemented model for the simulation of DNA-array experiments. This tool was used to judge the influence of critical parameters on the subsequent image analysis and differential expression analysis. Furthermore the tool can be used to guide future experiments and to improve performance by better experimental design. Series of simulated images varying specific parameters can be downloaded from our web-site: http://www.molgen.mpg.de/~lh_bioinf/projects/simulation/biotech/
External Publication Status:published
Document Type:Article
Communicated by:Hans Lehrach
Affiliations:MPI für molekulare Genetik
External Affiliations:Deutsches Ressourcenzentrum für Genomforschung GmbH, Heubnerweg 6, D-14059 Berlin, Germany
Department of Biochemistry, University of California, San Francisco, 513 Parnassus Ave, San Francisco, CA-94143-0448, USA
The scope and number of records on eDoc is subject to the collection policies defined by each institute - see "info" button in the collection browse view.