Results 21 to 30 of about 2,351 (162)

Looking for a Straw in a Haystack by Bridging the Cracks Between Individual Judgments: Narrowing the Knowledge Gap To Anticipate Surprises by Transforming Risk Assessors' Small Worlds Into Large Worlds. [PDF]

open access: yesRisk Anal
ABSTRACT The world is constantly changing, yet a risk assessment is based on the knowledge available at one point in time. There will therefore be a gap between the range of possibilities known or conceivable to the assessor at that time and all the possibilities that could occur over infinite time.
Derbyshire J, Aven T.
europepmc   +2 more sources

Independence number of de Bruijn graphs

open access: yesDiscrete Mathematics, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nicolas Lichiardopol
exaly   +3 more sources

Identifying and classifying trait linked polymorphisms in non-reference species by walking coloured de bruijn graphs. [PDF]

open access: yesPLoS ONE, 2013
Single Nucleotide Polymorphisms are invaluable markers for tracing the genetic basis of inheritable traits and the ability to create marker libraries quickly is vital for timely identification of target genes. Next-generation sequencing makes it possible
Richard M Leggett   +7 more
doaj   +2 more sources

On the domination number of $t$-constrained de Bruijn graphs [PDF]

open access: yesDiscrete Mathematics & Theoretical Computer Science, 2022
Motivated by the work on the domination number of directed de Bruijn graphs and some of its generalizations, in this paper we introduce a natural generalization of de Bruijn graphs (directed and undirected), namely $t$-constrained de Bruijn graphs, where
Tiziana Calamoneri   +2 more
doaj   +1 more source

On the Representation of De Bruijn Graphs [PDF]

open access: yesJournal of Computational Biology, 2014
Abstract The de Bruijn graph plays an important role in bioinformatics, especially in the context of de novo assembly. However, the representation of the de Bruijn graph in memory is a computational bottleneck for many assemblers.
Chikhi, Rayan   +4 more
openaire   +3 more sources

Edge minimization in de Bruijn graphs [PDF]

open access: yesInformation and Computation, 2020
This paper introduces the de Bruijn graph edge minimization problem, which is related to the compression of de Bruijn graphs: find the order-k de Bruijn graph with minimum edge count among all orders. We describe an efficient algorithm that solves this problem.
Uwe Baier   +3 more
openaire   +3 more sources

What do Eulerian and Hamiltonian cycles have to do with genome assembly?

open access: yesPLoS Computational Biology, 2021
Many students are taught about genome assembly using the dichotomy between the complexity of finding Eulerian and Hamiltonian cycles (easy versus hard, respectively).
Paul Medvedev, Mihai Pop
doaj   +1 more source

Cutwidth of the de Bruijn graph [PDF]

open access: yesRAIRO - Theoretical Informatics and Applications, 1995
Summary: We establish an optimal upper bound on the cutwidth of the general de Bruijn graph. Our upper bound is essentially based on a new relation between the cutwidth and the area of the VLSI layout of a graph. The relation is interesting for itself as it generalizes the known relation between the area and the bisection width of graphs of bounded ...
André Raspaud   +2 more
openaire   +1 more source

RGFA: powerful and convenient handling of assembly graphs [PDF]

open access: yesPeerJ, 2016
The “Graphical Fragment Assembly” (GFA) is an emerging format for the representation of sequence assembly graphs, which can be adopted by both de Bruijn graph- and string graph-based assemblers. Here we present RGFA, an implementation of the proposed GFA
Giorgio Gonnella, Stefan Kurtz
doaj   +2 more sources

MetaVelvet-DL: a MetaVelvet deep learning extension for de novo metagenome assembly

open access: yesBMC Bioinformatics, 2021
Background The increasing use of whole metagenome sequencing has spurred the need to improve de novo assemblers to facilitate the discovery of unknown species and the analysis of their genomic functions.
Kuo-ching Liang, Yasubumi Sakakibara
doaj   +1 more source

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