Linearization of genome sequence graphs revisited.
Bioinformatics
Computer science
Genomics
Journal
iScience
ISSN: 2589-0042
Titre abrégé: iScience
Pays: United States
ID NLM: 101724038
Informations de publication
Date de publication:
23 Jul 2021
23 Jul 2021
Historique:
received:
23
03
2021
revised:
21
05
2021
accepted:
15
06
2021
entrez:
19
7
2021
pubmed:
20
7
2021
medline:
20
7
2021
Statut:
epublish
Résumé
The need to include the genetic variation within a population into a reference genome led to the concept of a genome sequence graph. Nodes of such a graph are labeled with DNA sequences occurring in represented genomes. Due to double-stranded nature of DNA, each node may be oriented in one of two possible ways, resulting in marking one end of the labeling sequence as in-side and the other as out-side. Edges join pairs of sides and reflect adjacency between node sequences in genomes constituting the graph. Linearization of a sequence graph aims at orienting and ordering graph nodes in a way that makes it more efficient for visualization and further analysis, e.g. access and traversal. We propose a new linearization algorithm, called ALIBI - Algorithm for Linearization by Incremental graph BuIlding. The evaluation shows that ALIBI is computationally very efficient and generates high-quality results.
Identifiants
pubmed: 34278263
doi: 10.1016/j.isci.2021.102755
pii: S2589-0042(21)00723-9
pmc: PMC8264155
doi:
Types de publication
Journal Article
Langues
eng
Pagination
102755Informations de copyright
© 2021 The Authors.
Déclaration de conflit d'intérêts
The authors declare no competing interests.
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