
Recent high-density microarray technologies allow, in principle, the determination of all k-mers that appear along a DNA sequence, for k = 8 - 10 in a single experiment on a standard chip. The k-mer contents, also called the spectrum of the sequence, is not sufficient to uniquely reconstruct a sequence longer than a few hundred bases. We have devised a polynomial algorithm that reconstructs the sequence, given the spectrum and a homologous sequence. This situation occurs, for example, in the identification of single nucleotide polymorphisms (SNPs), and whenever a homologue of the target sequence is known. The algorithm is robust, can handle errors in the spectrum and assumes no knowledge of the k-mer multiplicities. Our simulations show that with realistic levels of SNPs, the algorithm correctly reconstructs a target sequence of length up to 2,000 nucleotides when a polymorphic sequence is known. The technique is generalized to handle profiles and HMMs as input instead of a single homologous sequence.
Genome, Animals, Humans, Nucleic Acid Hybridization, Sequence Alignment, Algorithms, Markov Chains, Oligonucleotide Array Sequence Analysis
Genome, Animals, Humans, Nucleic Acid Hybridization, Sequence Alignment, Algorithms, Markov Chains, Oligonucleotide Array Sequence Analysis
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