"This powerful genome fingerprint scanning tool will allow researchers to overcome a major bottleneck that has hampered their capacity to make full use of the vast information generated by sequencing dozens of genomes," said NCRR Director Judith L. Vaitukaitis, M.D. "This is the equivalent of being able to harness a whole library of information without an index."
Current software for protein identification is limited mainly to those for which a gene or protein entry exists in one of the public databases. Protein identification cannot be effectively performed for organisms whose annotations are incomplete, missing, or incorrect. By contrast, the GFS program is capable of matching mass spectrometry data from proteomic studies directly to raw, or even unfinished, genome sequences. The program has already been used to identify novel proteins in Francisella tularensis, the bacterium that causes the infectious disease tularemia, and in Tetrahymena thermophila, a model organism for studies of cellular and molecular biology.
"This support from NCRR will allow us to transform our Genome Fingerprint Scanning program from an experimental, beta-quality tool, into a free, widely-used resource that will benefit the global proteomics community," said Morgan C. Giddings, Ph.D.,
Contact: Ann Puderbaugh or Joyce McDonald
NIH/National Center for Research Resources