ArticleBMC bioinformatics2011
Strobe sequence design for haplotype assembly.
Article in BMC bioinformatics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
14 citing papers in PubMed.
- Genotype imputation from low-coverage WGS using haplotype reference panels in cultivated strawberry.BMC genomics · 2025Article
- GAMIBHEAR: whole-genome haplotype reconstruction from Genome Architecture Mapping data.Bioinformatics (Oxford, England) · 2021Article
- HapCHAT: adaptive haplotype assembly for efficiently leveraging high coverage in long reads.BMC bioinformatics · 2018Article
- Piercing the dark matter: bioinformatics of long-range sequencing and mapping.Nature reviews. Genetics · 2018Review
- HapCUT2: robust and accurate haplotype assembly for diverse sequencing technologies.Genome research · 2017Article
- Haplotype-resolved genome sequencing: experimental methods and applications.Nature reviews. Genetics · 2015Review
- Haplotype-resolved whole-genome sequencing by contiguity-preserving transposition and combinatorial indexing.Nature genetics · 2014Article
- Whole-genome haplotyping approaches and genomic medicine.Genome medicine · 2014Article
- Separating homeologs by phasing in the tetraploid wheat transcriptome.Genome biology · 2013Article
- On the design of clone-based haplotyping.Genome biology · 2013Article
- Stepping stones in DNA sequencing.Biotechnology journal · 2012Review
- Next generation deep sequencing and vaccine design: today and tomorrow.Trends in biotechnology · 2012Review
- Fosmid-based whole genome haplotyping of a HapMap trio child: evaluation of Single Individual Haplotyping techniques.Nucleic acids research · 2012Article
- A fast and accurate algorithm for single individual haplotyping.BMC systems biology · 2012Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
backgroundHumans are diploid, carrying two copies of each chromosome, one from each parent. Separating the paternal and maternal chromosomes is an important component of genetic analyses such as determining genetic association, inferring evolutionary scenarios, computing recombination rates, and detecting cis-regulatory events. As the pair of chromosomes are mostly identical to each other, linking together of alleles at heterozygous sites is sufficient to phase, or separate the two chromosomes. In Haplotype Assembly, the linking is done by sequenced fragments that overlap two heterozygous sites. While there has been a lot of research on correcting errors to achieve accurate haplotypes via assembly, relatively little work has been done on designing sequencing experiments to get long haplotypes. Here, we describe the different design parameters that can be adjusted with next generation and upcoming sequencing technologies, and study the impact of design choice on the length of the haplotype.
resultsWe show that a number of parameters influence haplotype length, with the most significant one being the advance length (distance between two fragments of a clone). Given technologies like strobe sequencing that allow for large variations in advance lengths, we design and implement a simulated annealing algorithm to sample a large space of distributions over advance-lengths. Extensive simulations on individual genomic sequences suggest that a non-trivial distribution over advance lengths results a 1-2 order of magnitude improvement in median haplotype length.
conclusionsOur results suggest that haplotyping of large, biologically important genomic regions is feasible with current technologies.
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