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A fractal-like hierarchy of network clusters extracted from the interaction networks of budding yeast. Dutkowski et al. use cellular components and processes embedded in molecular networks to derive a gene ontology (p 38). Credit: Janusz Dutkowski
A slew of disappointing product launches suggests biotech companies are ill prepared to navigate an increasingly parsimonious reimbursement environment.
The types of plants being protected, by whom and by what form of varietal right, has changed markedly since the United States first enabled intellectual property protection for plant varieties in 1930.
Manual curation of biological ontologies is recapitulated by an algorithmic approach, supplementing the Gene Ontology and enabling the discovery of relationships among genes and proteins.
High-throughput network maps are used to automatically (or semi-automatically) reconstruct an ontology that recapitulates much of the Gene Ontology and finds additional terms and relations.
The Cuffdiff 2 algorithm improves analysis of RNA-Seq data by accounting for sample-to-sample biological variability and the complexity of transcript isoforms.
Kwong et al. use nanoparticles coated with protease substrates to generate mass-encoded synthetic biomarkers for sensitive detection of fibrosis and cancer in mice.
To increase the tumor specificity of engineered T cells, Kloss et al. design an approach that relies on T cell recognition of two, rather than one, antigens.
A library of DNA constructs enables high-throughput, ligation-free production of transcription activator–like effector (TALE) genes for genetic engineering.
