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Genes that cause a mutant phenotype are efficiently identified from genetic screens of model and non-model organisms from whole-genome sequencing data without requiring segregating populations, genetic maps and reference sequences.
Bacteria expressing a plant siRNA-binding protein produce potent, specific and nonimmunogenic siRNAs capable of knocking down target genes in mammalian cells.
Integrating metabolomics and computational modeling provides a method to identify allosteric enzyme-metabolite interactions, which have been inaccessible to systematic mapping.
The MuTect algorithm for calling somatic point mutations enables subclonal analysis of the whole-genome or whole-exome sequencing data being generated in large-scale cancer genomics projects.
A CRISPR-Cas system is harnessed to introduce template-driven mutations in S. pneumoniae and E. coli at high efficiency without requiring selectable markers.
A draft sequence of the staple crop kabuli chickpea, together with resequencing and analysis of 90 additional lines from 10 countries, provides a resource for breeders.
Whole-genome bisulfite sequencing reveals that global reprogramming of the epigenome occurs during the maturation of tomato fruits, potentially identifying new targets for breeders.
The most comprehensive analysis to date of models of transcription-factor binding specificity reveals the best methods for predicting in vivo binding from in vitro data.