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Related Concept Videos

Genome Annotation and Assembly03:36

Genome Annotation and Assembly

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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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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
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Updated: Jan 12, 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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RAGA: a reference-assisted genome assembly tool for efficient population-scale assembly.

Ru-Peng Zhao1, Yu-Hong Luo1, Wen-Zhao Xie2

  • 1State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Life Science and Technology, Guangxi University, Nanning 530004, China.

Horticulture Research
|November 3, 2025
PubMed
Summary
This summary is machine-generated.

Reference-Assisted Genome Assembly (RAGA) is a new tool that makes large-scale genome assembly faster and cheaper. It uses existing genomes and new sequencing data to create high-quality results for population genomics.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • High-quality reference genomes are crucial for population-scale pan-genomic research.
  • Current methods for population-scale genome assembly are expensive and time-consuming.

Purpose of the Study:

  • To develop an efficient computational tool for population-scale genome assembly.
  • To improve the quality and accessibility of large-scale genomic studies.

Main Methods:

  • Developed Reference-Assisted Genome Assembly (RAGA), a hybrid approach combining de novo and reference-based assembly.
  • Utilized existing reference genomes and PacBio HiFi reads for high-quality alternative long sequence generation.
  • Integrated RAGA-generated sequences with de novo assemblies to enhance overall assembly quality.

Main Results:

  • RAGA demonstrated significant improvements in plant genome assemblies.
  • Reduced contig count and gaps, while correcting assembly errors.
  • Streamlined population-scale genome assembly workflows, enhancing efficiency.

Conclusions:

  • RAGA offers a substantial advancement in population-scale genome assembly.
  • The tool makes large-scale genomic studies more accessible and efficient.
  • Facilitates robust foundations for comprehensive pan-genomic investigations.