AI Article Synopsis
- Whole-genome shotgun sequencing involves randomly sampling and assembling fragments of DNA to map human and other genomes.
- The study calculates the probability of successfully recovering a sequence from overlapping fragments, offering an exact solution for infinite alphabets and constant overlaps.
- It explores two assembly strategies and presents the likelihood of solving the assembly problem as the number of fragments approaches infinity.
Article Abstract
Assembling fragments randomly sampled from along a sequence is the basis of whole-genome shotgun sequencing, a technique used to map the DNA of the human and other genomes. We calculate the probability that a random sequence can be recovered from a collection of overlapping fragments. We provide an exact solution for an infinite alphabet and in the case of constant overlaps. For the general problem we apply two assembly strategies and give the probability that the assembly puzzle can be solved in the limit of infinitely many fragments.
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| http://dx.doi.org/10.1103/PhysRevLett.88.068106 | DOI Listing |
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