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Four types of mass spectrometry (MS) data—label-free quantitative bottom-up proteomics, native MS, ion mobility–MS and cross-linking MS—are used to derive restraints for structural modeling of large protein assemblies.
The genome-wide annotation of variants (GWAVA) software predicts whether noncoding variants are likely to be functional using a classifier trained on a range of genomic and epigenomic annotations.
A statistical approach using a linear mixed model and principal-component analysis discovers phenotype-specific changes in epigenomes without requiring information on cell type composition.
A statistical method, label-sparse quantification, and software tool, SparseQuant, allows targeted proteins to be quantified by selected reaction monitoring mass spectrometry without requiring a full set of isotope-labeled reference peptides.
A microfluidic platform creates nanochannels from collapsed microchannels for multisecond single-molecule FRET measurements of untethered biomolecules by total-internal-reflection fluorescence microscopy.
EC-BLAST is a Web-based tool allowing quantitative similarity searches between enzymes at the levels of bond-change, reaction-center or reaction-structure similarity. The tool may help improve the annotation of enzyme function.