Funding of human stem cell research by the United States

During the fall of 1998, three research groups announced that they had devised methods for obtaining human embryonic stem cells. Human stem cells are characterized by the ability to form many cell types, and the scientific community anticipates that the cells should be useful for the treatment of a wide variety of diseases. The dilemma is that human stem cell methodology can require, at least to some extent, research with human fetal tissue or research involving human embryos. Those opposed to federal funding of the former are concerned that the studies would support the "legitimacy" of abortion, while the latter is seen as prohibited under current law. The National Bioethics Advisory Committee has suggested that the federal government should fund both activities

Funding of human stem cell research by the United States

During the fall of 1998, three research groups announced that they had devised methods for obtaining human embryonic stem cells. Human stem cells are characterized by the ability to form many cell types, and the scientific community anticipates that the cells should be useful for the treatment of a wide variety of diseases. The dilemma is that human stem cell methodology can require, at least to some extent, research with human fetal tissue or research involving human embryos. Those opposed to federal funding of the former are concerned that the studies would support the "legitimacy" of abortion, while the latter is seen as prohibited under current law. The National Bioethics Advisory Committee has suggested that the federal government should fund both activities

The commercialization of bioinformatics

Biological research has experienced a paradigm shift from in vivo or in vitro experimentation to in silico experimentation, a development that relies upon bioinformatics. The beginning of bioinformatics stems from the fortuitous timing of the adoption of new DNA sequencing methods and the availability of mini-and bench-top computers, which became the tools to store and to analyze the sequence data. Another fortunate coincidence was the popularization of the Internet, which provided a means to exchange sequence data and sequence analysis software, and the establishment of the Human Genome Project, which stimulated the need for sophisticated data management and analysis tools. Market pull has rapidly stimulated bioinformatics commercialization as pharmaceutical companies discovered a potential means to cure their innovation deficit. One of the early models for commercializing bioinformatics was simply to sell access to databases of human nucleotide sequencFes. This strategy is heading toward obsolescence as the public consortium nears its goal of sequencing the human genome. The key to future commercialization of sequence data will be to develop informatics technology that transforms this data into information that is useful for diagnosis and therapy. A competitive transformation of sequence data into information will require improvements in data integration and data mining. </A

The commercialization of bioinformatics

Biological research has experienced a paradigm shift from in vivo or in vitro experimentation to in silico experimentation, a development that relies upon bioinformatics. The beginning of bioinformatics stems from the fortuitous timing of the adoption of new DNA sequencing methods and the availability of mini-and bench-top computers, which became the tools to store and to analyze the sequence data. Another fortunate coincidence was the popularization of the Internet, which provided a means to exchange sequence data and sequence analysis software, and the establishment of the Human Genome Project, which stimulated the need for sophisticated data management and analysis tools. Market pull has rapidly stimulated bioinformatics commercialization as pharmaceutical companies discovered a potential means to cure their innovation deficit. One of the early models for commercializing bioinformatics was simply to sell access to databases of human nucleotide sequences. This strategy is heading toward obsolescence as the public consortium nears its goal of sequencing the human genome. The key to future commercialization of sequence data will be to develop informatics technology that transforms this data into information that is useful for diagnosis and therapy. A competitive transformation of sequence data into information will require improvements in data integration and data mining