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pmid: 11153095
The use of transposons offers the possibility of a directed approach to DNA sequencing, where a target DNA up to about 6kb in length can be sequenced quickly and with minimal redundancy. Transposons are mobile DNA elements which can be inserted in a reasonably random fashion into the target DNA. An important part of this process is the location of the transposon insertions (known as mapping) and the selection of a sensible subset of transposons to use as priming sites for sequencing reactions. This paper presents a probabilistic method of scoring selected subsets of transposons and a graph-theoretic algorithm for selection of a subset of maximal score.
Models, Statistical, DNA Transposable Elements, Sequence Analysis, DNA, Algorithms
Models, Statistical, DNA Transposable Elements, Sequence Analysis, DNA, Algorithms
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). | 1 | |
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 |