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Related Concept Videos

Genome Annotation and Assembly03:36

Genome Annotation and Assembly

The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
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Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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Related Experiment Video

Updated: May 22, 2026

Hybrid De Novo Genome Assembly for the Generation of Complete Genomes of Urinary Bacteria using Short- and Long-read Sequencing Technologies
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HaploMerger: reconstructing allelic relationships for polymorphic diploid genome assemblies.

Shengfeng Huang1, Zelin Chen, Guangrui Huang

  • 1State Key Laboratory of Biocontrol, Guangdong Key Laboratory of Pharmaceutical Functional Genes, College of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China.

Genome Research
|May 5, 2012
PubMed
Summary

HaploMerger is a new automated pipeline that reconstructs relationships between two haplotypes in diploid genome assemblies. This tool improves contiguity and completeness for polymorphic genomes, outperforming manual curation.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Whole-genome shotgun assembly of highly polymorphic genomes presents significant challenges, exacerbated by next-generation sequencing technologies.
  • Accurate reconstruction of allelic relationships is crucial for understanding genome diversity and structure.

Purpose of the Study:

  • To develop and validate an automated pipeline, HaploMerger, for reconstructing allelic relationships in diploid genome assemblies.
  • To improve the contiguity, continuity, and completeness of reference haploid assemblies from polymorphic data.

Main Methods:

  • HaploMerger integrates LASTZ-ChainNet alignment with a novel graph-based structure to untangle allelic relationships.
  • The pipeline employs flexible parameters for optimizing assembly outcomes.
  • Simulations and application to real polymorphic assemblies (e.g., Branchiostoma belcheri) were used for validation.

Main Results:

  • HaploMerger demonstrated efficient and accurate performance in simulations.
  • The pipeline showed advantages over manual curation for real polymorphic assemblies with 4%-5% heterozygosity.
  • Analysis of Chinese amphioxus revealed divergent and complementary haplotypes.

Conclusions:

  • HaploMerger is an effective tool for analyzing and exploiting polymorphic genome assemblies.
  • The pipeline facilitates the reconstruction of distinct haploid genomes from diploid data.
  • This approach enhances the understanding of genome variation and complementarity in highly heterozygous organisms.