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NIH Grants in Bioinformatics Awarded June 2005 -- July 2005


Statistical Methods and Software for QTL Mapping. Start date: June 1, 2005. Expires: May 31, 2010. Amount: $220,653. Principal investigator: Karl Broman. Institution: Johns Hopkins University. NIH institute: NIGMS.

Proposal to develop and distribute computer software for quantitative trait loci mapping. Specific aims include: developing practical model selection procedures for mapping multiple QTLs in the presence of epistatic interactions and missing genotype data; developing improved methods for the analysis of recombinant inbred lines; and developing the QTL mapping software, R/qtl.

Scimagix Web-Based Scientific Image Management System. Start date: July 15, 2005. Expires: July 14, 2006. Amount: $367,774. Principal investigator: Douglas Burke Hanson. Institution: Forsyth Institute. NIH institute: NCRR.

Funds the purchase of a shared, web-based scientific image management system (SIMS) from Scimagix (now BioImagene). Award supports the purchase of the Scimagix SIMS application software, application server hardware, disk array for image storage, Oracle 9i database software application, server hardware for Oracle 9i, and a tape backup system.

Signal Processing Software for Biomolecular NMR. Start date: Aug. 1, 2005. Expires: July 31, 2009. Amount: $321,000. Principal investigator: Jeffrey Hoch. Institution: University of Connecticut School of Medicine and Dentistry. NIH institute: NCRR.

Funds development of software to enable new applications of maximum entropy reconstruction in biomolecular NMR. The applications include nonuniform sampling in the time domain, to reduce data collection requirements while improving resolution.

Collaborative Systems for Analyzing Tissue Microarrays. Start date: July 1, 2005. Expires: April 30, 2009. Amount: $283,525. Principal investigator: David Foran. Institution: University of Medicine and Dentistry of New Jersey. NIH institute: NIBIB.

Proposal to develop an automated tissue microarray analysis system that features distributed imaging and data management capability in a collaborative environment for applications in pathology and oncology. Aims include designing, developing, and evaluating a portable suite of software tools for performing unsupervised imaging and archiving of tissue microarrays in multi-user environments. The grantees also plan to develop a tissue microarray repository that will enable researchers from disparate research and clinical sites to populate the database with new cases including correlated image metrics and imaged arrays.

Evolutionary Inferences from Protein-Coding Genes. Start date: Aug. 1, 2005. Expires: July 31, 2009. Amount: $202,166. Principal investigator: Jeffrey Thorne. Institution: North Carolina State University Raleigh. NIH institute: NIGMS.

Proposal to build upon a newly developed statistical technique for making evolutionary inferences from sequence pairs that incorporates dependence among codons due to pain/vise amino acid interactions that are imposed by the protein tertiary structure. The initial focus will be to extend this model-based approach to the analysis of more than two phylogenetically related sequences. The resulting method will be useful for characterizing the impact of protein structure on protein evolution.

Filed under

The Scan

Mosquitos Genetically Modified to Prevent Malaria Spread

A gene drive approach could be used to render mosquitos unable to spread malaria, researchers report in Science Advances.

Gut Microbiomes Allow Bears to Grow to Similar Sizes Despite Differing Diets

Researchers in Scientific Reports find that the makeup of brown bears' gut microbiomes allows them to reach similar sizes even when feasting on different foods.

Finding Safe Harbor in the Human Genome

In Genome Biology, researchers present a new approach to identify genomic safe harbors where transgenes can be expressed without affecting host cell function.

New Data Point to Nuanced Relationship Between Major Depression, Bipolar Disorder

Lund University researchers in JAMA Psychiatry uncover overlapping genetic liabilities for major depression and bipolar disorder.