2008
DOI: 10.1186/1471-2164-9-356
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Haplotype inference from unphased SNP data in heterozygous polyploids based on SAT

Abstract: Background: Haplotype inference based on unphased SNP markers is an important task in population genetics. Although there are different approaches to the inference of haplotypes in diploid species, the existing software is not suitable for inferring haplotypes from unphased SNP data in polyploid species, such as the cultivated potato (Solanum tuberosum). Potato species are tetraploid and highly heterozygous.

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Cited by 42 publications
(47 citation statements)
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“…The SNP markers are unphased and the SNP allele dosage has to be considered in haplotype models (J. NeigenWnd et al 2008). Instead of haplotype models we used the strong LD observed among several SNPs to distinguish six LD groups, which included the SNPs associated with nematode resistance.…”
Section: Discussionmentioning
confidence: 99%
“…The SNP markers are unphased and the SNP allele dosage has to be considered in haplotype models (J. NeigenWnd et al 2008). Instead of haplotype models we used the strong LD observed among several SNPs to distinguish six LD groups, which included the SNPs associated with nematode resistance.…”
Section: Discussionmentioning
confidence: 99%
“…We have studied the decision version of HIPPG and presented it in ASP. We have tested HAPLO-ASP on some real data for cultivated potato genes (described in [11]), and obtained promising results as in [9].…”
Section: Other Variations Of Haplotype Inferencementioning
confidence: 99%
“…HIPAG has been studied by [7] with a greedy algorithm (HAPLO-IHP); [9] studies a variation of HIPAG for polyallelic and polyploid genotypes but does not take into account domain-specific information, and computes a solution using a SAT-based algorithm (SATLOTYPER).…”
Section: Introductionmentioning
confidence: 99%
“…Multi-SNP haplotypes can be assembled from single dosage-scored SNPs (originating from SNP array data), although haplotypes are more commonly generated using overlapping sequence reads (Figure 2). A number of different polyploid haplotyping tools (for sequence reads) have been developed in recent years, including polyHap (Su et al, 2008), SATlotyper (Neigenfind et al, 2008), HapCompass (Aguiar and Istrail, 2013), HapTree (Berger et al, 2014), SDhaP (Das and Vikalo, 2015), SHEsisplus (Shen et al, 2016) and TriPoly (Motazedi et al, 2017a). Three of these tools (HapCompass, HapTree and SDhaP) were recently compared and evaluated over a range of different simulated read depths, ploidy levels and insert sizes for paired-end reads (Motazedi et al, 2017b).…”
Section: Haplotype Assemblymentioning
confidence: 99%