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Minnesota Partnership for Biotechnology and Medical Genomics

The partnership will provide $1.4 million in new funding for Mayo Clinic and University of Minnesota-led projects using genomics to understand and potentially treat human cancer.

A bill by the representative from Rochester would return the University of Minnesota and Mayo Clinic partnership funding level to the original $8 million per year.

The partnership between Mayo Clinic and the University of Minnesota will probably be a target as a budget-challenged state looks to slash spending.

The joint research collaboration of the Mayo Clinic and the University of Minnesota plans to lead a multi-institutional effort to translate diabetes research into improved yet lower-cost treatments, if not a cure, for the disease within 10 years.

The Minnesota Partnership for Biotechnology and Medical Genomics, a partnership of the University of Minnesota and Mayo Clinic, is making up to $4 million available in awards to researchers for human health and disease studies that the institutions cannot carry out individually.

The partners have formed the Frontiers of Biomedical Research with initial plans to establish fellowships for promising young investigators toward exchanges in specific research areas.

The Minnesota Partnership for Biotechnology and Medical Genomics will see its annual budget reduced by more than $1 million — to just under $7 million — in the fiscal year that begins July 1, following a $591,000 cut included in a budget deal reached this week by Gov. Tim Pawlenty and state legislative leaders.

Nature News reports on the US National Science Foundation's investigations of undisclosed foreign ties among researchers it funds.

Researchers have developed a set of 10 principles to guide how a list of all species on earth should be put together, the Guardian reports.

Wired reports on a new firm developing a gene writing approach for therapeutic genome changes.

In Nature this week: a method called cis-X combines whole-genome and transcriptome sequencing data to identify regulatory noncoding variants, and more.