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On a greedy approach for genome scaffolding
BACKGROUND: Scaffolding is a bioinformatics problem aimed at completing the contig assembly process by determining the relative position and orientation of these contigs. It can be seen as a paths and cycles cover problem of a particular graph called the “scaffold graph”. RESULTS: We provide some NP...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9617463/ https://www.ncbi.nlm.nih.gov/pubmed/36309685 http://dx.doi.org/10.1186/s13015-022-00223-x |
Sumario: | BACKGROUND: Scaffolding is a bioinformatics problem aimed at completing the contig assembly process by determining the relative position and orientation of these contigs. It can be seen as a paths and cycles cover problem of a particular graph called the “scaffold graph”. RESULTS: We provide some NP-hardness and inapproximability results on this problem. We also adapt a greedy approximation algorithm on complete graphs so that it works on a special class aiming to be close to real instances. The described algorithm is the first polynomial-time approximation algorithm designed for this problem on non-complete graphs. CONCLUSION: Tests on a set of simulated instances show that our algorithm provides better results than the version on complete graphs. |
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