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Phylogenetic analysis is a central tool in studies of comparative genomics. When a new region of DNA is isolated and sequenced, researchers are often forced to throw away months of computation on an existing phylogeny of homologous sequences in order to incorporate this new sequence. The previously constructed trees are often discarded, and the researcher begins the search again from scratch. The jumpstarting algorithm uses trees from the prior search as a starting point for a new phylogenetic search. This technique drastically decreases search time for large data sets. This kind of analysis is necessary as researchers analyse tree of life size data sets.
Time Factors, Models, Genetic, Epidemiology, Computational Biology, DNA, Genomics, Sequence Analysis, DNA, Disease Outbreaks, Genetic Techniques, Animals, Cluster Analysis, Humans, Algorithms, Phylogeny
Time Factors, Models, Genetic, Epidemiology, Computational Biology, DNA, Genomics, Sequence Analysis, DNA, Disease Outbreaks, Genetic Techniques, Animals, Cluster Analysis, Humans, Algorithms, Phylogeny
| 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). | 4 | |
| 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). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
