Computational subtraction method

G - Physics – 06 – F

Patent

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

G06F 19/00 (2006.01)

Patent

CA 2444604

The invention provides a method and system for performing computational subtraction to detect microbes within a host organism. In some aspects, the microbes are pathogens and the system is used to identify sequences belonging to these pathogens which can then be used in methods of diagnosis and treatment. Alternatively, the microbes can be symbiotic organisms, such as commensal or parasitic organisms. Preferably, candidate sequences identified as belonging to a microbe are used to isolate and clone additional sequences from the microbe.

L'invention concerne un procédé et un système permettant d'effectuer une soustraction computationnelle afin de détecter des microbes au sein d'un organisme hôte. Selon certains aspects, les microbes sont des agents pathogènes et le système est utilisé pour identifier des séquences appartenant à ces agents qui peuvent être utilisés dans des méthodes de diagnostic et de traitement. En outre, les microbes peuvent être des organismes symbiotiques, tels que des organismes parasitaires ou commensaux. De préférence, on utilise des séquences candidates identifiées comme appartenant à un microbe pour isoler et cloner des séquences supplémentaires provenant du microbe.

LandOfFree

Say what you really think

Search LandOfFree.com for Canadian inventors and patents. Rate them and share your experience with other people.

Rating

Computational subtraction method does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Computational subtraction method, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Computational subtraction method will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFCA-PAI-O-1838061

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.