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Related Concept Videos

Genomics02:02

Genomics

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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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Multi-species Conserved Sequences02:51

Multi-species Conserved Sequences

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Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale  studies have provided new insights into the evolutionary relationship between organisms.
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved...
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Transgenic Organisms

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Overview
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Genomic DNA in Eukaryotes00:58

Genomic DNA in Eukaryotes

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Eukaryotes have large genomes compared to prokaryotes. To fit their genomes into a cell, eukaryotic DNA is packaged extraordinarily tightly inside the nucleus. To achieve this, DNA is tightly wound around proteins called histones, which are packaged into nucleosomes that are joined by linker DNA and coil into chromatin fibers. Additional fibrous proteins further compact the chromatin, which is recognizable as chromosomes during certain phases of cell division.
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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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Next-generation Sequencing03:00

Next-generation Sequencing

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The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
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Related Experiment Video

Updated: May 30, 2025

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
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Goose multi-omics database: A comprehensive multi-omics database for goose genomics.

Mingjiang Huang1, Jiahe Sun1, Jian Wang2

  • 1Southwest University, Chongqing, 402460, PR China.

Poultry Science
|January 28, 2025
PubMed
Summary

A new Goose Multi-omics Database (GMD) integrates diverse genomic data for geese. This resource enhances goose genomics research by providing unified access to genetic information and analytical tools.

Keywords:
Genome sequenceGenome variantGoose multi-omics databasePhenomeTranscriptome

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Area of Science:

  • Genomics
  • Bioinformatics
  • Animal Science

Background:

  • Multi-omics studies have revealed gene expression and genomic variations linked to economically important traits in geese.
  • Existing goose genomic data is substantial but lacks a unified integration platform.

Purpose of the Study:

  • To develop a comprehensive, unified database for goose multi-omics data.
  • To facilitate streamlined search, analysis, and visualization of genetic information for goose research.

Main Methods:

  • Development of the Goose Multi-omics Database (GMD) with a unified interface.
  • Integration of analytical tools including GBrowse and BLAST.
  • Inclusion of data on phenotypic traits, gene sequences, expression profiles, genomic variations, and gene families.

Main Results:

  • The GMD provides a centralized resource for diverse goose genetic data.
  • The database enables efficient access to target gene information through integrated tools.
  • It supports the visualization of gene structures, homology, and collinearity.

Conclusions:

  • The GMD serves as a versatile online repository to advance goose biology and multi-omics research.
  • It enhances the efficiency and productivity of genomic research by integrating data and analytical tools.
  • The platform has the potential to accelerate discoveries in goose genomics through advanced methodologies like deep learning.