Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Genomics02:02

Genomics

36.0K
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...
36.0K
Incomplete Dominance01:43

Incomplete Dominance

21.6K
Gregor Mendel's work (1822 - 1884) was primarily focused on pea plants. Through his initial experiments, he determined that every gene in a diploid cell has two variants called alleles inherited from each parent. He suggested that amongst these two alleles, one allele is dominant in character and the other recessive. The combination of alleles determines the phenotype of a gene in an organism.
21.6K
RNA-seq03:21

RNA-seq

9.8K
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. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
9.8K
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.7K
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...
5.7K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A multienzyme-mimicking nanoplatform induces disulfidptosis/cuproptosis/apoptosis for tumor therapy.

National science review·2026
Same author

Towards the construction of a virtual yeast.

Nature·2026
Same author

<i>HMGA2</i> regulates fear and growth: Canine GWAS and functional evidence.

iScience·2026
Same author

Wearable Flexible Sensors for Cardiovascular Disease Monitoring.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

StNF-YC9 and StWRKY75 synergistically regulate StPAP10b-mediated root phosphatase activity to drive soil organic phosphorus mobilization in potato.

The Plant cell·2026
Same author

Behavioral Convergence with Physiological Divergence: Sex Differences in Hormones but Not Social Behavior in Beagle Dogs.

Animals : an open access journal from MDPI·2026
Same journal

Correction to 'scSuperAnnotator: A platform for benchmarking comparison and visualizing automated cellular annotation methods for scRNA-seq data'.

Nucleic acids research·2026
Same journal

Correction to 'Differentiable partition function calculation for RNA'.

Nucleic acids research·2026
Same journal

Deployment of non-canonical splicing in tunicate genomes is mediated by divergent U2AF function and changing m6A modification in U1 and U6 snRNA.

Nucleic acids research·2026
Same journal

Bacillus subtilis DnaB forms multiple protein-protein interactions essential for DNA replication initiation.

Nucleic acids research·2026
Same journal

Multiple forms of protein-protein and DNA binding are exhibited by BrxC from the BREX phage restriction system.

Nucleic acids research·2026
Same journal

Biosynthesis of glycosylated 5-hydroxycytosine in the DNA of diverse viruses.

Nucleic acids research·2026
See all related articles

Related Experiment Video

Updated: Jun 7, 2025

Standardization and Maintenance of 3D Canine Hepatic and Intestinal Organoid Cultures for Use in Biomedical Research
08:39

Standardization and Maintenance of 3D Canine Hepatic and Intestinal Organoid Cultures for Use in Biomedical Research

Published on: January 31, 2022

4.7K

iDog: a multi-omics resource for canids study.

Yanhu Liu1, Yibo Wang2,3,4, Jiani Sun2,3,4,5

  • 1Key Laboratory of Genetic Evolution & Animal Models and Yunnan Key Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650091, China.

Nucleic Acids Research
|November 11, 2024
PubMed
Summary
This summary is machine-generated.

The updated iDog 2.0 platform significantly expands canine genomic and multi-omics data, offering enhanced resources for researchers studying domestic dogs and wild canids. This comprehensive database now includes millions of genetic variants, gene expression data, and phenotypic information to advance canine research.

More Related Videos

Author Spotlight: Development and Application of a Canine IBD Gut-on-a-Chip Model for 3D Intestinal Morphogenesis Studies
07:10

Author Spotlight: Development and Application of a Canine IBD Gut-on-a-Chip Model for 3D Intestinal Morphogenesis Studies

Published on: February 9, 2024

3.0K
Training Dogs for Awake, Unrestrained Functional Magnetic Resonance Imaging
07:59

Training Dogs for Awake, Unrestrained Functional Magnetic Resonance Imaging

Published on: October 13, 2019

7.5K

Related Experiment Videos

Last Updated: Jun 7, 2025

Standardization and Maintenance of 3D Canine Hepatic and Intestinal Organoid Cultures for Use in Biomedical Research
08:39

Standardization and Maintenance of 3D Canine Hepatic and Intestinal Organoid Cultures for Use in Biomedical Research

Published on: January 31, 2022

4.7K
Author Spotlight: Development and Application of a Canine IBD Gut-on-a-Chip Model for 3D Intestinal Morphogenesis Studies
07:10

Author Spotlight: Development and Application of a Canine IBD Gut-on-a-Chip Model for 3D Intestinal Morphogenesis Studies

Published on: February 9, 2024

3.0K
Training Dogs for Awake, Unrestrained Functional Magnetic Resonance Imaging
07:59

Training Dogs for Awake, Unrestrained Functional Magnetic Resonance Imaging

Published on: October 13, 2019

7.5K

Area of Science:

  • Genomics and Bioinformatics
  • Comparative Genomics
  • Canine Research

Background:

  • The iDog database serves as a crucial public resource for canine research.
  • Previous versions provided foundational multi-omics data for domestic dogs (Canis lupus familiaris) and wild canids.
  • The need for expanded genomic, transcriptomic, and phenotypic data integration was identified.

Purpose of the Study:

  • To present the significant enhancements and expanded capabilities of the iDog 2.0 platform.
  • To provide an integrated, comprehensive resource for the global canine research community.
  • To facilitate data-driven discoveries in canine genetics, genomics, and disease research.

Main Methods:

  • Integration of a 15-fold increase in genomic samples, including modern and ancient Canis DNA.
  • Inclusion of extensive single nucleotide polymorphism (SNP) and insertion/deletion (InDel) variant data.
  • Incorporation of gene expression (transcriptome, single-cell), epigenome (DNA methylation, chromatin accessibility), and phenotypic data.

Main Results:

  • iDog 2.0 now houses data from 1929 modern and 111 ancient Canis samples, featuring millions of SNPs and InDels.
  • The platform integrates breed-specific SNPs, disease-associated variants, gene expression datasets, and single-cell transcriptomics.
  • Epigenomic data, extensive phenotypic information on dog diseases, genotype-to-phenotype pairs, and standardized ontologies are included.

Conclusions:

  • The enhanced iDog 2.0 represents a substantially expanded and invaluable resource for canine research.
  • The platform's comprehensive multi-omics data and analytical tools support diverse research avenues.
  • iDog 2.0 is poised to accelerate discoveries in canine genetics, breeding, and disease understanding.