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

Pharmacogenomics: Identification of New Drug Targets01:29

Pharmacogenomics: Identification of New Drug Targets

55
Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...
55
Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

19.1K
A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
19.1K
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

16.2K
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.
GWAS does not require the identification of the target gene involved in...
16.2K
Protein Networks02:26

Protein Networks

4.6K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.6K
Genomics02:02

Genomics

41.2K
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...
41.2K

You might also read

Related Articles

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

Sort by
Same author

Cover crops restore declining soil properties and suppress bacterial wilt by regulating rhizosphere bacterial communities and improving soil nutrient contents.

Microbiological research·2020
Same author

Role of c-Abl in Ang II-induced aortic dissection formation: Potential regulatory efficacy on phenotypic transformation and apoptosis of VSMCs.

Life sciences·2020
Same author

Association between lactate dehydrogenase levels and oncologic outcomes in metastatic prostate cancer: A meta-analysis.

Cancer medicine·2020
Same author

The China tuberculosis clinical trials consortium network: a model for international TB clinical trials capacity building.

Infectious diseases of poverty·2020
Same author

Identification of Key Players Involved in CoCl<sub>2</sub> Hypoxia Induced Pulmonary Artery Hypertension <i>in vitro</i>.

Frontiers in genetics·2020
Same author

Photodegradation of Cationic and Anioic Dyes by pH-Dependent Dispersion of Amphoteric g-C₃N₄ Nanosheets.

Journal of nanoscience and nanotechnology·2020

Related Experiment Video

Updated: Mar 6, 2026

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
03:08

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

Published on: October 3, 2025

1.1K

GenePANDA-a novel network-based gene prioritizing tool for complex diseases.

Tianshu Yin1,2, Shu Chen1,3, Xiaohui Wu1,3

  • 1State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai 200436, P. R. China.

Scientific Reports
|March 3, 2017
PubMed
Summary

GenePANDA is a new tool that prioritizes candidate disease genes using network analysis. It improves accuracy for complex diseases by using adjusted network distance, outperforming existing methods.

More Related Videos

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

2.3K
Author Spotlight: Finding New Therapeutic Targets for Malignant Peripheral Nerve Sheath Tumor Through Genome-Scale shRNA Screens
09:33

Author Spotlight: Finding New Therapeutic Targets for Malignant Peripheral Nerve Sheath Tumor Through Genome-Scale shRNA Screens

Published on: August 25, 2023

1.8K

Related Experiment Videos

Last Updated: Mar 6, 2026

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
03:08

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

Published on: October 3, 2025

1.1K
A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

2.3K
Author Spotlight: Finding New Therapeutic Targets for Malignant Peripheral Nerve Sheath Tumor Through Genome-Scale shRNA Screens
09:33

Author Spotlight: Finding New Therapeutic Targets for Malignant Peripheral Nerve Sheath Tumor Through Genome-Scale shRNA Screens

Published on: August 25, 2023

1.8K

Area of Science:

  • Genetics
  • Bioinformatics
  • Computational Biology

Background:

  • Identifying candidate disease genes is crucial for understanding genetic disorders.
  • Existing methods for gene prioritization face challenges, especially with complex diseases.
  • Functional association networks offer a promising framework for gene discovery.

Purpose of the Study:

  • To introduce GenePANDA, a novel network-based tool for prioritizing candidate disease genes.
  • To improve the accuracy of disease gene identification, particularly for complex genetic conditions.
  • To provide a method that assists in interpreting findings from genome-wide association studies (GWAS).

Main Methods:

  • GenePANDA utilizes a functional association network to assess gene candidacy.
  • It introduces an 'adjusted network distance' metric, normalizing raw distances.
  • Performance is evaluated against five existing gene prioritization algorithms.

Main Results:

  • GenePANDA demonstrates superior performance in prioritizing candidate disease genes compared to previous methods.
  • The adjusted network distance significantly enhances the tool's accuracy for complex diseases.
  • GenePANDA effectively aids in prioritizing single nucleotide polymorphisms (SNPs) identified by GWAS.

Conclusions:

  • GenePANDA offers a robust and improved approach to candidate disease gene prioritization.
  • The adjusted network distance is a key innovation for enhancing prioritization accuracy.
  • GenePANDA is a valuable tool for genetic research and the interpretation of GWAS data.