UCSD Researchers Present Approach for Improved Identification of Complex PTMs | GenomeWeb

A team led by researchers at the University of California, San Diego has developed a method for the large-scale identification of complex post-translational modifications.

The technique uses synthetic peptide libraries as training sets for peptide identification algorithms, allowing the algorithms to learn PTM-specific fragmentation patterns, thereby improving their subsequent performance in actual biological samples.

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The White House has created a list of cuts, including to the NIH, that could be in a budget bill for this year.

The US National Institutes of Health is to allow applicants to cite preprints just as they would any other research paper, ScienceInsider reports.

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In PNAS this week: tool to track transcriptome-wide binding, evidence of balancing selection on behavior-linked genes, and more.