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UNC Chapel Hill Receives $1M from NIH to Provide Improved Proteomics Search Software

NEW YORK, Nov. 30 (GenomeWeb News) - Researchers at the University of North Carolina at Chapel Hill have received $1 million in funding from the US National Institutes of Health to further develop and make available proteomics software, NIH said today.


The three-year funding, from the National Center for Research Resources, will allow the scientists to improve their protein-identification software, called Genome Fingerprint Scanning, and distribute it more widely free of charge. The program is capable of matching protein mass-spectrometry data directly to unannotated or unfinished genome sequences.


Led by Morgan Giddings, the researchers plan to include peptide maps that users can browse overlaid on a genome, expand the list of searchable genomes, provide multi-genome searching, automate updates of the genome databases and distribution of the computing load, and include searching of multi-exon genes. Furthermore, they intend to make the program available on additional computing platforms.

The Scan

LINE-1 Linked to Premature Aging Conditions

Researchers report in Science Translational Medicine that the accumulation of LINE-1 RNA contributes to premature aging conditions and that symptoms can be improved by targeting them.

Team Presents Cattle Genotype-Tissue Expression Atlas

Using RNA sequences representing thousands of cattle samples, researchers looked at relationships between cattle genotype and tissue expression in Nature Genetics.

Researchers Map Recombination in Khoe-San Population

With whole-genome sequences for dozens of individuals from the Nama population, researchers saw in Genome Biology fine-scale recombination patterns that clustered outside of other populations.

Myotonic Dystrophy Repeat Detected in Family Genome Sequencing Analysis

While sequencing individuals from a multi-generation family, researchers identified a myotonic dystrophy type 2-related short tandem repeat in the European Journal of Human Genetics.