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{bio,medical} informatics

Monday, November 05, 2001

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find related articles. powered by google. Boston Business Journal Legal issues surround programming bioinformatics

"Computers are supposed to help biotechnology, right? Isn't bioinformatics all the rage right now? Well, it is, but with popularity comes legal questions that many companies don't address until it's too late."

"It seems that many biotech companies don't realize that a computer vendor may have the rights to the software, and ultimately, the work that the biotech companies do.

For example, if a biotech company orders a computer network to help it sequence the genome of yeast, the company may ask the vendor to customize the software it will use to do the sequencing. However, the question is, who owns the right to that customized software--the biotech company or the software programmer?"

redux [08.10.01]
find related articles. powered by google. GenomeWeb Eureka! IP Treasure Could be Right Under Your Nose

"An unprecedented amount of computational analysis is used for genetics discovery. The entire field of bioinformatics has partially evolved around the genomics industry. This presents a wealth of computational inventions that many people in the genomics industry may not recognize as an invention. These overlooked inventions may represent an even larger treasure than is first apparent because many are based upon algorithms that are more widely adaptable to other industries than are traditional research tools.

To locate overlooked bioinformatics inventions, one should search for any process involving computation biology or that involves storage, retrieval, and analysis of biological data. In particular, processes designed to aid in locating new genes ( e.g., processes with steps designed to aid in gene sequencing and nucleic acid hybridization) and molecular modeling (such as processes to predict protein structure) should be scrutinized.

[ rhetoric ]

Bioinformatics will be at the core of biology in the 21st century. In fields ranging from structural biology to genomics to biomedical imaging, ready access to data and analytical tools are fundamentally changing the way investigators in the life sciences conduct research and approach problems. Complex, computationally intensive biological problems are now being addressed and promise to significantly advance our understanding of biology and medicine. No biological discipline will be unaffected by these technological breakthroughs.


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