Saturday 19 March 2022

Product Sourcing Strategy for DNA

DNA is the software of life. The product sourcing strategies for software include in-house software development, commercial-off-the-shelf packages, cloud computing, mobile computing or open source software. These product sourcing strategies can also be applied to DNA. Genetic engineering provides the expertise and framework for in-house engineering of synthetic DNA. Commercial options are also available for synthetic DNA that is sold off the shelf such as from Twist Biosciences. Open source, cloud computing, and mobile computing are available in the form of BLAST (basic local alignment search tool) which is the Google of biological data. This is a search engine and database which has an algorithm that compares primary biological sequence information.
Medical Laboratories are at the heart of sourcing DNA solutions. Everyone should become part of the DNA software revolution. 



Sunday 13 March 2022

Open Source Educational LIMS

G-MOSS (Gav-Med Open Source Society) is the ultimate free and open-source healthcare group for open source laboratory information management systems. Its focus is on data and life as subject areas that everyone can learn for free online via open-source education. Data is viewed from the perspective of artificial intelligence and Life is viewed from the perspective of genetic engineering. We believe that path to a self-taught education is via the internet and is possible with the symbiosis of artificial and biological intelligence. Linus's law states that 'given enough eyeballs, all bugs are shallow'. This means that everyone should learn and participate in the development of artificial intelligence and genetic engineering. 


Medical Laboratories are playing an important role in the development of open-source technologies used in healthcare for understanding data and life. A free and accredited bachelors degree in computer science will soon be realized via the internet. Free and open-source online learning will revolutionize the information age thus leading to the symbiosis of artificial intelligence and genetic engineering which will create superhumans.