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

Seed Structure and Early Development of the Sporophyte02:33

Seed Structure and Early Development of the Sporophyte

28.7K
Seed structures are composed of a protective seed coat surrounding a plant embryo, and a food store for the developing embryo. The embryo contains the precursor tissues for leaves, stem, and roots. The endosperm and cotyledons—seed leaves—act as the food reserves for the growing embryo.
28.7K
Introduction to Seed Plants03:40

Introduction to Seed Plants

62.6K
Most plants are seed plants—characterized by seeds, pollen, and reduced gametophytes. Seed plants include gymnosperms and angiosperms.
62.6K
Multi-species Conserved Sequences02:51

Multi-species Conserved Sequences

4.0K
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...
4.0K
Mass Analyzers: Overview01:13

Mass Analyzers: Overview

766
The mass analyzer is a crucial component of the mass spectrometer. In the ionization chamber, the vaporized sample is bombarded with a high-energy electron beam to generate a radical cation and further fragment into neutral molecules, radicals, and cations. A series of negatively charged accelerator plates accelerate the cations into the mass analyzer. The mass analyzer separates ions according to their mass-to-charge (m/z) ratios and then directs them to the detector. The common types of mass...
766
Seedless Vascular Plants03:24

Seedless Vascular Plants

60.8K
Seedless Vascular Plants Were the First Tall Plants on Earth
60.8K
Mass Analyzers: Common Types01:19

Mass Analyzers: Common Types

671
The quadrupole mass analyzer consists of four cylindrical metal rods arranged in a diamond carrying a DC voltage and a radio-frequency AC voltage. The motion of ions through the quadrupole depends on the field strength, causing only ions of a certain m/z to resonate successfully and strike the detector at a given field strength. Though the transmission rate for these analyzers is high, the exact elemental composition of the sample is not determined because of low resolution; however, they are...
671

You might also read

Related Articles

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

Sort by
Same author

Detection of Early-Stage Colorectal Cancer Using Cell-Free oncRNA Biomarkers and Artificial Intelligence.

Clinical cancer research : an official journal of the American Association for Cancer Research·2025
Same author

Diagnosing progressive multifocal leukoencephalopathy: Positive predictive value of CSF JC virus quantitative PCR and importance of recognizing suggestive neuroimaging findings.

Journal of the neurological sciences·2025
Same author

Deep generative AI models analyzing circulating orphan non-coding RNAs enable detection of early-stage lung cancer.

Nature communications·2024
Same author

N100 as a response prediction biomarker for accelerated 1 Hz right DLPFC-rTMS in major depression.

Journal of affective disorders·2024
Same author

Dr.Nod: computational framework for discovery of regulatory non-coding drivers in tissue-matched distal regulatory elements.

Nucleic acids research·2023
Same author

SVDSS: structural variation discovery in hard-to-call genomic regions using sample-specific strings from accurate long reads.

Nature methods·2022
Same journal

Correction to: Pathogenicity patterns in cytochrome P450 family.

Bioinformatics advances·2026
Same journal

Region-aware bridge modeling enables interpretable mesoscale representation of spatial transcriptomic tissue sections.

Bioinformatics advances·2026
Same journal

Microbiome differential abundance methodologies to detect relevant taxa associated with chemotherapy toxicity rate in colorectal cancer.

Bioinformatics advances·2026
Same journal

maldipickr dereplicates microbial MALDI-TOF spectra to facilitate multiplexed isolation.

Bioinformatics advances·2026
Same journal

RAM-MSA: an anytime memory-bounded method for exact multiple sequence alignment using path finding.

Bioinformatics advances·2026
Same journal

Interpretable machine learning for low-sample multi-omics: a case study of ferret vaccine response.

Bioinformatics advances·2026
See all related articles

Related Experiment Video

Updated: Aug 12, 2025

Mass Spectrometry-Guided Genome Mining as a Tool to Uncover Novel Natural Products
11:13

Mass Spectrometry-Guided Genome Mining as a Tool to Uncover Novel Natural Products

Published on: March 12, 2020

11.0K

MAGI-MS: multiple seed-centric module discovery.

Julie C Chow1, Ryan Zhou2, Fereydoun Hormozdiari1,3

  • 1Department of Biochemistry and Molecular Medicine, UC Davis Genome Center, University of California, Davis, Davis, CA 95616, USA.

Bioinformatics Advances
|January 26, 2023
PubMed
Summary
This summary is machine-generated.

A new tool, MAGI-MS, helps identify genes involved in complex disorders by analyzing genetic modules. It reveals disease pathways, like those in neurodevelopmental disorders, by using multiple seed genes for enhanced network analysis.

More Related Videos

Improving the Success Rate of Protein Crystallization by Random Microseed Matrix Screening
12:24

Improving the Success Rate of Protein Crystallization by Random Microseed Matrix Screening

Published on: August 31, 2013

17.9K
Open-source Single-particle Analysis for Super-resolution Microscopy with VirusMapper
07:38

Open-source Single-particle Analysis for Super-resolution Microscopy with VirusMapper

Published on: April 9, 2017

10.2K

Related Experiment Videos

Last Updated: Aug 12, 2025

Mass Spectrometry-Guided Genome Mining as a Tool to Uncover Novel Natural Products
11:13

Mass Spectrometry-Guided Genome Mining as a Tool to Uncover Novel Natural Products

Published on: March 12, 2020

11.0K
Improving the Success Rate of Protein Crystallization by Random Microseed Matrix Screening
12:24

Improving the Success Rate of Protein Crystallization by Random Microseed Matrix Screening

Published on: August 31, 2013

17.9K
Open-source Single-particle Analysis for Super-resolution Microscopy with VirusMapper
07:38

Open-source Single-particle Analysis for Super-resolution Microscopy with VirusMapper

Published on: April 9, 2017

10.2K

Area of Science:

  • Genomics
  • Systems Biology
  • Computational Biology

Background:

  • Complex disorders arise from interactions between genetic and environmental factors.
  • Identifying genes in common biological pathways aids understanding of specific phenotypes.
  • Previous tools (MAGI, MAGI-S) used coexpression and protein interaction networks for genetic module discovery.

Purpose of the Study:

  • Introduce Merging Affected Genes into Integrated Networks-Multiple Seeds (MAGI-MS), an extension of MAGI-S.
  • Enable users to specify disease pathways by selecting multiple seed genes.
  • Demonstrate MAGI-MS's ability to reveal biologically relevant gene modules.

Main Methods:

  • Developed MAGI-MS, incorporating coexpression and protein interaction networks.
  • Utilized multiple seed genes to define specific molecular mechanisms or pathways.
  • Applied MAGI-MS to neurodevelopmental disorder-related seed genes, including epilepsy.

Main Results:

  • MAGI-MS successfully identified gene modules relevant to specified disease pathways.
  • Modules enriched in genes related to chemical synaptic transmission and glutamatergic synapses were revealed.
  • The tool effectively linked seed genes to broader molecular functions associated with neurodevelopmental disorders.

Conclusions:

  • MAGI-MS enhances genetic module discovery by allowing multiple seed gene inputs.
  • The tool is effective for exploring pathways in complex disorders like neurodevelopmental conditions.
  • MAGI-MS provides a valuable approach for identifying genes within specific biological contexts.