
In this paper, we first propose coding techniques for DNA-based data storage which account the maximum homopolymer runlength and the GC-content. In particular, for arbitrary l,ϵ>0, we propose simple and efficient (l,ϵ)-constrained encoders that transform binary sequences into DNA base sequences (codewords), that satisfy the following properties:• Runlength constraint: the maximum homopolymer run in each codeword is at most l,• GC-content constraint: the GC-content of each codeword is within [0.5−ϵ, 0.5+ϵ].For practical values of l and ϵ, our codes achieve higher rates than the existing results in the literature. We further design efficient (l,ϵ)-constrained codes with error-correction capability. Specifically, the designed codes satisfy the runlength constraint, the GC-content constraint, and can correct a single edit (i.e. a single deletion, insertion, or substitution) and its variants. To the best of our knowledge, no such codes are constructed prior to this work.
| 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). | 18 | |
| 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% |
