Evidence map›Paper›PMID 35504967›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2022

Genotype calling and haplotype inference from low coverage sequence data in heterozygous plant genome using HetMap.

Hao Gong, Bin Han

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Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Hao GongSchool of Life Science, Huizhou University, Huizhou, 516007, China. mygonghao@163.com.ORCID http://orcid.org/0000-0002-0327-6673
Bin HanState Key Laboratory of Plant Molecular Genetics, National Center for Gene Research, Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, 200233, China. bhan@ncgr.ac.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

key messageThis study developed a new genotyping method that can accurately infer heterozygous genotype information from the complex plant genome sequence data, which helped discover new alleles in the association studies. Many software packages and pipelines had been developed to handle the sequence data of the model species. However, Genotyping from complex heterozygous plant genome needs further improvement on the previous methods. Here we present a new pipeline available at https://github.com/Ncgrhg/HetMapv1 ) for variant calling and missing genotype imputation from low coverage sequence data for heterozygous plant genomes. To check the performance of the HetMap on the real sequence data, HetMap was applied to both the F

Indexed as

Genome-Wide Association StudyPolymorphism, Single NucleotideGenome, PlantGenotypeGenotyping TechniquesHaplotypesSoftware

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.