New algrithm for library-based pyrosequencing signal analysis
Transcription
New algrithm for library-based pyrosequencing signal analysis
Liaison Entreprises et Universités Université catholique de Louvain New algrithm for library-based pyrosequencing signal analysis Informatique et science de l'information, Sciences biologiques, Biotechnologie médicale Pyrosequencing, Multiplex signal analysis, metagenomics, Oncogene re-sequencing Questions ? Sébastien ADAM Expert valorisateur Région wallonne - Nanotechnologies, Technologies de l'Information et de la Communication +32-010472443 [email protected] Description The Louvain Technology Transfer Office of the Université catholique de Louvain (UCL) presents a new algorithm for librarybased pyrosequencing signal analysis. The UCL invention relates to a new approach for the analysis of pyro-sequencing signals. It comprises new methods for analyzing pyrosequencing signals in a fast, reliable, and automated way. Potential applications and advantages More information about the Universities & Higher Education Institutions expertise on www.reseaulieu.be Page 1 / 2 Liaison Entreprises et Universités Potential applications and advantages The algorithm developed by UCL team is dedicated to the processing of: 1. Multiplex signals analysis in a single biosample The algorithm allows identifying multiple SNPs from the same biosample. The algorithm is generic and can therefore be used in various applications: Genotyping polymorphisms in pharmacogenetics Identification of bacterial antibiotic resistance due to gene mutation 2. Multiple signals analysis from metagenomics The algorithm allows interpreting pyrosequencing signals generated by a community of micro-organisms. It can therefore be used for various identifications: Identification of bacteria/ and mycobacteria species Identification of virus species 3. Analysis of pharmaco-oncogenetics or somatic mutations The generic algorithm can be applied to identify somatic mutations in numerous oncogenic targets: EGFR – KRAS – NRAS BRAF. The new algorithm is characterized by high sensitivity (low Limit of Detection) and flexibility (high number of mutations). The new algorithm is particularly suitable for difficult samples (Formalin Fixed Paraffin Embedded) and provides rapid and easily interpretable results. Patent This work is the subject of: a UK patent application filed on the 2nd of May, 2013 (GB 1307913.2) a PCT patent application filed on the 30th of April 2014 (PCT/EP2014/058793) Stage of development Advance Stage Type of collaboration Licence Agreement More information about the Universities & Higher Education Institutions expertise on www.reseaulieu.be Page 2 / 2