Konferenzpaper
Autorenliste: Seifert, Michael; Banaei, Ali; Keilwagen, Jens; Mette, Michael Florian; Houben, Andreas; Roudier, François; Colot, Vincent; Große, Ivo; Strickert, Marc
Erschienen in: Proceedings of the International Conference on Bio-inspired Systems and Signal Processing
Herausgeberliste: Encarnação, Pedro; Veloso, António P.
Jahr der Veröffentlichung: 2009
Seiten: 3-11
ISBN: 978-989-8111-65-4
Konferenz: International Conference on Bio-Inspired Systems and Signal Processing (Biosignals 2009)
Arabidopsis thaliana is an important model organism in plant biology with a broad geographic distribution including ecotypes from Africa, America, Asia, and Europe. The natural variation of different ecotypes is expected to be reflected to a substantial degree in their genome sequences. Array comparative genomic hybridization ( ACGH ) can be used to quantify the natural variation of different ecotypes at the DNA level. Besides, such ACGH data provides the basics to establish a genome-wide map of DNA copy number variation for different ecotypes. Here, we present a new approach based on Hidden Markov Models (HMMs) to predict copy number variations in ACGH experiments. Using this approach, an improved genome-wide characterization of DNA segments with decreased or increased copy numbers is obtained in comparison to the routinely used segMNT algorithm. The software and the data set used in this case study can be downloaded from http://dig.ipk-gatersleben.de/HMMs/ACGH/ACGH.html.
Abstract:
Zitierstile
Harvard-Zitierstil: Seifert, M., Banaei, A., Keilwagen, J., Mette, M., Houben, A., Roudier, F., et al. (2009) Array-based Genome Comparison of Arabidopsis Ecotypes using Hidden Markov Models, in Encarnação, P. and Veloso, A. (eds.) Proceedings of the International Conference on Bio-inspired Systems and Signal Processing. Setúbal: INSTICC Press. pp. 3-11
APA-Zitierstil: Seifert, M., Banaei, A., Keilwagen, J., Mette, M., Houben, A., Roudier, F., Colot, V., Große, I., & Strickert, M. (2009). Array-based Genome Comparison of Arabidopsis Ecotypes using Hidden Markov Models. In Encarnação, P., & Veloso, A. (Eds.), Proceedings of the International Conference on Bio-inspired Systems and Signal Processing. (pp. 3-11). INSTICC Press.
