IEEE Transactions on Information Theory · 2017 · 30 citations · 18 references
EngineeringGeneticsDna AnalysisMolecular BiologyComputational ComplexityGenomicsProfile VectorsLower BoundsDna Sequence ProfilesString-searching AlgorithmMolecular EcologyBiostatisticsCoding TheoryRead LengthsVariable-length CodeDna SequencingMedicineSequence AnalysisDna ReplicationStatistical GeneticsComputer ScienceBioinformaticsLong-read SequencingPractical ValuesComputational BiologyCombinatorial Pattern MatchingEnumeration ResultsGenome EditingSequence Assembly
A recent study by one of the authors has demonstrated the importance of profile vectors in DNA-based data storage. We provide exact values and lower bounds on the number of profile vectors for finite values of alphabet size q, read length 1, and word length n. Consequently, we demonstrate that for q ≥ 2 and n ≤ q <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1/2-1</sup> , the number of profile vectors is at least q <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">κn</sup> with κ very close to 1. In addition to enumeration results, we provide a set of efficient encoding and decoding algorithms for certain families of profile vectors.
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Handbook of applied cryptography
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