
doi: 10.1109/51.20377
pmid: 18244078
Genetic data, accumulating at a rapid pace, are ideally suited to computer analysis. These data pose problems of a magnitude that requires supercomputing. The National Cancer Institute of the US National Institutes of Health (NIH) has developed the Advanced Scientific Computing Laboratory to utilize these data for basic research of relevance to cancer and other diseases. The facility and its use for several research problems of biomedical importance are discussed below. The problems considered are sequence comparisons, nucleic acid second structure prediction, Monte Carlo tests, molecular dynamics, and drug design. Computer time in spent various areas of research is summarized.
| selected citations These citations are derived from selected sources. 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). | 7 | |
| 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. | Average | |
| 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. | Average |
