WebNov 2, 2015 · 5.4 Computability. This section under major construction. In David Hilbert's famous 1900 address to the International Congress of Mathematics, he asserted: Take any definite unsolved problem, such as the question as to the irrationality of the Euler-Mascheroni constant γ, or the existence of an infinite number of prime numbers of the … WebJul 9, 2013 · Medvedev P, Georgiou K, Myers G, Brudno M: Computability of models for sequence assembly. Algorithms in Bioinformatics. 2007, 289-301. Chapter Google Scholar Nagarajan N, Pop M: Parametric complexity of sequence assembly: theory and applications to next generation sequencing.
Safe and Complete Contig Assembly Via Omnitigs SpringerLink
WebIn the first part, we show sequence assembly to be NP-hard under two different models: string graphs and de Bruijn graphs. Together with an earlier result on the NP-hardness of … WebPDF Graph-theoretic models have come to the forefront as some of the most powerful and practical methods for sequence assembly. Simultaneously, the computational hardness of the underlying graph algorithms has remained open. Here we present two theoretical results about the complexity of these models for sequence assembly. In the first part, we … blue ash ohio baseball
Data Structures to Represent a Set of k -long DNA Sequences
WebJan 29, 2013 · Computing the likelihood of an assembly means that the probability of the (observed) set of reads is computed with respect to a proposed assembly using the model described in the previous section. The probability of a sequence of length L generating a paired-end or mate pair read (termed 'read' from now on) r i is. WebMar 8, 2024 · Computability of models for sequence assembly. In WABI 2007: Algorithms in Bioinformatics (Lecture Notes in Computer Science), Raffaele Giancarlo and Sridhar Hannenhalli (Eds.), Vol. 4645. Springer, 289--301. blue ash nursing home