
It is getting easier and easier to determine complete genome sequences—of model organisms, animals and plants of commercial importance, and humans: Craig Venter, Jim Watson, the 1000 Genome Project, soon you and me. Now that researchers have all this information at hand, the focus has shifted in many cases to manipulating particular sequences to determine their function or to alter their impact. A new study by Jinek et al.1 proposes a new approach—based on the oldest of DNA recognition principles—to the design of reagents that can target specific genomic sequences.
Pharmacology, Clinical Trials as Topic, Deoxyribonucleases, Bacteria, Zinc Fingers, Drug Discovery, Gene Targeting, Genetics, Molecular Medicine, Humans, DNA Breaks, Double-Stranded, DNA Cleavage, Genetic Engineering, Molecular Biology, Base Pairing
Pharmacology, Clinical Trials as Topic, Deoxyribonucleases, Bacteria, Zinc Fingers, Drug Discovery, Gene Targeting, Genetics, Molecular Medicine, Humans, DNA Breaks, Double-Stranded, DNA Cleavage, Genetic Engineering, Molecular Biology, Base Pairing
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 59 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
