Heterozygosity Handling
Heterozygosity Handling is a computational method in diploid genome assembly that specifically addresses the challenge of distinguishing and accurately reconstructing allelic differences arising from heterozygous regions within an individual's genome.
20
Publications
5.8K
Citations
112
Authors
61
Institutions
Publications per year
2017–2026
7
Parents
20
Identifying and removing haplotypic duplication in primary genome assemblies
Dengfeng Guan, Shane McCarthy, Jonathan Wood et al. · Bioinformatics · 2020 · 2.8K citations · Full text
Efficient de novo assembly of highly heterozygous genomes from whole-genome shotgun short reads
Rei Kajitani, Kouta Toshimoto, Hideki Noguchi et al. · Genome Research · 2014 · 1.2K citations · Full text
Life Sciences, Biology, Genetics +17
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Wellcome Sanger Institute
Cambridge, United Kingdom
4 h-index
11 publications
8.9K citations
University of Cambridge
Cambridge, United Kingdom
3 h-index
13 publications
9K citations
University of Utah
Salt Lake City, United States
2 h-index
3 publications
267 citations

Harbin Institute of Technology
Harbin, China
2 h-index
4 publications
5.8K citations
Centre for Genomic Regulation
Barcelona, Spain
2 h-index
3 publications
1.2K citations
Beltsville Agricultural Research Center
Beltsville, United States
1 h-index
1 publications
101 citations
Roman L. Hruska U.S. Meat Animal Research Center
Clay Center, United States
1 h-index
2 publications
202 citations
Duke University Health System
Durham, United States
1 h-index
1 publications
67 citations
1–8 of 61
2 publications · 135 citations
2
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Repository · 2 publications · 87 citations
2
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2 publications · 3.1K citations
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PNAS · 2 publications · 286 citations
2
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2 publications · 118 citations
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