ArticleAlgorithms for molecular biology : AMB2020
Finding all maximal perfect haplotype blocks in linear time.
Article in Algorithms for molecular biology : AMB, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- SLAB: A Sweep Line Algorithm in PBWT for Finding Haplotype Block Cores.bioRxiv : the preprint server for biology · 2026Article
- Haplotype Matching with GBWT for Pangenome Graphs.bioRxiv : the preprint server for biology · 2025Article
- PangeBlocks: customized construction of pangenome graphs via maximal blocks.BMC bioinformatics · 2024Article
- Discovery of runs-of-homozygosity diplotype clusters and their associations with diseases in UK Biobank.eLife · 2024Article
- μ- PBWT: a lightweight r-indexing of the PBWT for storing and querying UK Biobank data.Bioinformatics (Oxford, England) · 2023Article
- Fast inference of genetic recombination rates in biobank scale data.Genome research · 2023Article
- HaploBlocks: Efficient Detection of Positive Selection in Large Population Genomic Datasets.Molecular biology and evolution · 2023Article
- FastRecomb: Fast inference of genetic recombination rates in biobank scale data.bioRxiv : the preprint server for biology · 2023Article
- d-PBWT: dynamic positional Burrows-Wheeler transform.Bioinformatics (Oxford, England) · 2021Article
- Discovery of runs-of-homozygosity diplotype clusters and their associations with diseases in UK Biobank.medRxiv : the preprint server for health sciences · 2020Article
- Maximal Perfect Haplotype Blocks with Wildcards.iScience · 2020Article
- Finding all maximal perfect haplotype blocks in linear time.Algorithms for molecular biology : AMB · 2020Article
Corrections and comments
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Authors and funding
5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Recent large-scale community sequencing efforts allow at an unprecedented level of detail the identification of genomic regions that show signatures of natural selection. Traditional methods for identifying such regions from individuals' haplotype data, however, require excessive computing times and therefore are not applicable to current datasets. In 2019, Cunha et al. (Advances in bioinformatics and computational biology: 11th Brazilian symposium on bioinformatics, BSB 2018, Niterói, Brazil, October 30 - November 1, 2018, Proceedings, 2018. 10.1007/978-3-030-01722-4_3) suggested the
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