Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Evolutionary Relationships through Genome Comparisons

Evolutionary Relationships through Genome Comparisons

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...

Genetic Screens

Genetic Screens

Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which result in visible changes...

Genome-wide Association Studies-GWAS

Genome-wide Association Studies-GWAS

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...

Genome Annotation and Assembly

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.

You might also read

Related Articles

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

Sort by

Same author

A tumor profiling resource for ovarian cancer: insights into chemotherapy-driven heterogeneity and personalized treatment strategy.

Nature communications·2026

Same author

Striping artifact removal in VisiumHD data through nuclear counts modeling.

Bioinformatics (Oxford, England)·2026

Same author

Meta-analysis reveals microbiome signatures for colorectal cancer that are universal across age groups and sequencing methods.

Cell host & microbe·2026

Same author

Health benefits of a five-day at-home modified fasting program: a randomised controlled trial.

Genome medicine·2026

Same author

Representation learning for multi-modal spatially resolved transcriptomics data.

Bioinformatics (Oxford, England)·2026

Same author

Estimation of Physiological Metrics from Resting ECGs Using Deep Learning in the UK Biobank, Including submaximal exercise derived V̇O <sub>2</sub> max, Body Fat Percentage, and Grip Strength.

medRxiv : the preprint server for health sciences·2026

Search research articles

Related Experiment Video

Updated: Jun 22, 2026

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Published on: August 15, 2019

mGene.web: a web service for accurate computational gene finding.

Gabriele Schweikert¹, Jonas Behr, Alexander Zien

¹Friedrich Miescher Laboratory, Max Planck Society, Max Planck Institute for Developmental Biology Tübingen, Germany.

Nucleic Acids Research

|June 5, 2009

Summary

mGene.web is a new service for predicting protein coding genes in eukaryotic DNA. It accelerates genome annotation with pre-trained models and user-trainable options for diverse organisms.

More Related Videos

Comprehensive Workflow for the Genome-wide Identification and Expression Meta-analysis of the ATL E3 Ubiquitin Ligase Gene Family in Grapevine

Comprehensive Workflow for the Genome-wide Identification and Expression Meta-analysis of the ATL E3 Ubiquitin Ligase Gene Family in Grapevine

Published on: December 22, 2017

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila

Published on: August 20, 2019

Related Experiment Videos

Last Updated: Jun 22, 2026

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Published on: August 15, 2019

Comprehensive Workflow for the Genome-wide Identification and Expression Meta-analysis of the ATL E3 Ubiquitin Ligase Gene Family in Grapevine

Comprehensive Workflow for the Genome-wide Identification and Expression Meta-analysis of the ATL E3 Ubiquitin Ligase Gene Family in Grapevine

Published on: December 22, 2017

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila

Published on: August 20, 2019

Area of Science:

Genomics
Bioinformatics
Computational Biology

Background:

Accurate gene prediction is crucial for understanding eukaryotic genomes.
Existing tools may lack flexibility or pre-trained models for novel organisms.

Purpose of the Study:

To introduce mGene.web, a web service for genome-wide prediction of protein-coding genes.
To provide a user-friendly platform for eukaryotic gene annotation, including untranslated regions.
To enable rapid genome annotation through customizable training options.

Main Methods:

Utilizes the mGene system, based on discriminative machine learning techniques.
Offers pre-trained models for gene structure recognition across multiple organisms.
Provides a modular framework with autonomous components like promoter and splice site predictors.

Main Results:

mGene.web facilitates genome-wide prediction of protein-coding genes from eukaryotic DNA.
The service includes pre-trained models for gene structure recognition and untranslated regions.
Users can train the system with their own data, accelerating genome annotation.

Conclusions:

mGene.web significantly accelerates the annotation of newly sequenced eukaryotic genomes.
The modular design allows for autonomous use of individual prediction tools.
The service is freely available for eukaryotic genomes of small to moderate size.