Excellent software - excellent service
quantiom bioinformatics has developed a software tool that enables the comparative analysis of chromosomes and that enables statements to be made on the correlation of genomic alterations and disease development.
The development of diseases is often caused by complex chromosomal rearrangements. A modern high-throughput method used in the field of biotechnology, comparative genomic hybridisation (CGH), enables the rapid and highly resolved identification of chromosomal changes in a single experiment - miniature DNA screening so to speak. It produces information on chromosomal deletions and amplifications, which are usually labelled red (amplification) or green (deletion) in chromosome images. Researchers are interested in the red:green ratio because this tells them which copy number changes are characteristic of a certain disease.
Cgh Anwendung Service2
1. Application of CGH: Pre- and postnatal genetic analyses reveal small chromosome segments that are no longer present. 2. Data analysis: custom-made analysis software detects essential information in highly complex questions. 3. Service: quantiom bioinformatics offers CGH data analysis as a complete service that provides clients with data analysis within a short period of time and at foreseeable costs. (Figure: quantiom bioinformatics)
Industriepreis 2008
The analysis of these data is a sophisticated task. Many laboratories do not have the software nor the bioinformatic know-how required. For many years now, quantiom bioinformatics scientists have worked with a number of research institutions in the development of an analysis software tool that was recently given the ‘Initiative Mittelstand’ Industry Award 2008. The software generated interesting research findings that were then published.
quantiom bioinformatics now also offers the analysis of CGH and array-CGH data using this new software as part of its bioinformatics services. Clients do not need software and licences or installation and training. Instead, they obtain a precisely defined analysis of their data at foreseeable costs. Detailed information on this service is provided on quantiom’s homepage.
Source: quantiom- 12th May 2008
References:
[1] Schmitt-Kittler et al. From latent disseminated cells to overt metastasis: genetic analysis of systemic breast cancer progression. PNAS, 2003.
[2] Fuhrmann et al. High-resolution array CGH of single micrometastatic tumor cells. Nucleic Acids Research, 2008.
[3] Reinmuth et al. Correlation of EGFR mutations with genetic alterations and expression of EGFR, ErbB3, and VEGF in tumor samples of lung adenocarcinoma patients. Lung Cancer, 2008.
Further information:Dr. Martin Granzow
quantiom bioinformatics
Tel.: +49 (0)7244-706614
E-mail:
contact@quantiom.de