GCphase: an SNP phasing method using a graph partition and error correction algorithm

Background The utilization of long reads for single nucleotide polymorphism (SNP) phasing has become popular, providing substantial support for research on human diseases and genetic studies in animals and plants. However, due to the complexity of the linkage relationships between SNP loci and seque...

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Veröffentlicht in:	BMC bioinformatics Jg. 25; H. 1; S. 267 - 14
Hauptverfasser:	Luo, Junwei, Wang, Jiayi, Zhai, Haixia, Wang, Junfeng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 19.08.2024 BioMed Central Ltd Springer Nature B.V BMC
Schlagworte:	Accuracy Algorithms Bioinformatics Biomedical and Life Sciences Chromosomes Clustering Computational Biology/Bioinformatics Computer Appl. in Life Sciences DNA sequencing Error correction Error correction & detection Error reduction Error-correcting codes Gene sequencing Genetic research Genomes Graph minimum-cut algorithm Graphic methods Haplotype assembly Haplotypes High-Throughput Nucleotide Sequencing - methods Humans Information processing Life Sciences Maximum likelihood method Methods Microarrays Nucleotide sequencing Nucleotides Partitions (mathematics) Plant diseases Polymorphism Polymorphism, Single Nucleotide - genetics Sequence Analysis, DNA - methods Single nucleotide polymorphisms Single-nucleotide polymorphism SNP phasing Software China SNP phasing Haplotype assembly Graph minimum-cut algorithm Error correction
ISSN:	1471-2105, 1471-2105
Online-Zugang:	Volltext
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