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MIXING OPEN SOURCE AND TRADITIONAL METHODS: "DNA Freeware May Out-Innovate Patented Genes. Corporations will need to integrate open source with traditional patents for biotech innovations in medicine, renewable materials, and nutrition." In part driven by new patent laws, a new world may be emerging. " " http://lnkd.in/dPaY3v2 View in LinkedIn

DEMOCRATIC FORCES IN LIFE SCIENCES. "On the basis of a presumed parallel between genetic and computational code, science journalist Annalee Newitz has called for open-sourcing of genomic databases and declared that "Free our genetic data!" is the rallying cry of the biopunk. Biological Innovation for Open Society is an example of an open-source initiative in biotechnology aiming to apply open license for biological innovation."" " http://en.m.wikipedia.org/wiki/Biopunk View in LinkedIn

SYNBIO: OPEN SOURCE. A key goal for modern synthetic biology is the creation of libraries of standard gene sequences or bolt-on parts (such as the Registry of Standard Biological Parts) that perform desired functions; for those products and services that are commercially available, the more they are used, the cheaper they become, just as in the software industry. Greater availability and spiraling lower costs are exemplified in DNA sequencing, among many other examples. " " http://lnkd.in/dSAHHGJ View in LinkedIn

IOPEN SOURCE = EFFICIENT INNOVATION? "Open source can be a more efficient model for getting more innovation faster in a community that shares a common problem or sees a common opportunity. And open innovation is a more efficient model for creating innovation faster for a company that is focused on its own problem or opportunity and is unable, for whatever reason, to cede control." " " http://lnkd.in/d98AsuB View in LinkedIn

One of the first generation of smart drugs that will change the pharma industry. With smart materials and nanotechnology, the possibilities are significant. http://lnkd.in/d5FxQQu View in LinkedIn

FOUR CRITICAL KEYS IN MODERN BIOTECH: (1) digitization of life; (2) democratization and cheapening of tools; (3) writing DNA as computer code to create entirely novel life forms; and (4) big data as part of life sciences today. How these trends interact and their unforeseen consequences is the precise juncture biologists find themselves in today. We are at a truly historic confluence with many moving parts. View in LinkedIn

PROGRAMMING LIFE. "Today a scientist can write a long genetic program on a computer ...then use a synthesizer to convert that digital code into actual DNA... when a faux chromosome gets plopped into a cell, it will be able to direct the destruction of the cell's old DNA and become its new "brain" -- telling the cell to start making a valuable chemical, for example, or a medicine or a toxin, or a bio-based gasoline substitute."" " http://lnkd.in/dCV_93T View in LinkedIn

FORTH KEY LIFESCIENCE TREND: BIG DATA. Biology's big problem is too much data. More scientific information has been generated in recent years than in the entire history of the world. "Today, compared to the collection of genomes of the microorganisms ... each human genome, which easily fits on a DVD, is comparatively simple. Its 3 billion DNA base pairs and about 20,000 genes seem paltry next to the roughly 100 billion bases and millions of genes that make up the microbes found in the human body."" " http://lnkd.in/dMb5X44 View in LinkedIn

THE THIRD KEY TREND IN BIOTECH. In 1998, "genetic engineering was limited to cutting and pasting DNA from existing organisms. Today's biologists can write down a gene sequence that NEVER EXISTED anywhere, place an order over the internet, and receive the desired DNA by return mail. The new science of synthetic biology dreams of a day when blueprints for new life forms can be designed as easily as computer chips." " " http://lnkd.in/dSAHHGJ View in LinkedIn

CELLS AS MACHINES AND CIRCUITS. "Synthetic biological circuits are an application of synthetic biology where biological parts inside a cell are designed to perform logical functions mimicking those observed in electronic networks." Living cells as machines and circuits = biocybernetics. " " http://en.m.wikipedia.org/wiki/Synthetic_biological_circuit View in LinkedIn