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

How Data are Classified: Categorical Data01:11

How Data are Classified: Categorical Data

44.5K
A variable, usually notated by capital letters such as X and Y, is a characteristic or measurement that can be determined for each member of a population. Data are the actual values of variables. They may be numbers, or they may be words. Datum is a single value.
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
44.5K
How Data are Classified: Numerical Data00:59

How Data are Classified: Numerical Data

38.0K
Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
38.0K
ATP Driven Pumps I: An Overview01:27

ATP Driven Pumps I: An Overview

9.8K
ATP-driven pumps, also known as transport ATPases, are integral membrane proteins. They have binding sites for ATP located on the membrane's cytosolic side and the ion-conducting domain in the transmembrane region. These pumps use the free energy released from ATP hydrolysis to move the solutes across cell membranes against an electrochemical gradient.
There are four main types of ATP-driven pumps - P-type, V-type, F-type, and ABC transporter. All these pumps are of varying complexities and...
9.8K
Data Reporting and Recording01:24

Data Reporting and Recording

5.4K
Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
5.4K
Xylem and Transpiration-driven Transport of Resources02:03

Xylem and Transpiration-driven Transport of Resources

26.7K
The xylem of vascular plants distributes water and dissolved minerals that are taken up by the roots to the rest of the plant. The cells that transport xylem sap are dead upon maturity, and the movement of xylem sap is a passive process.
26.7K
ATP Driven Pumps II: P-type Pumps01:34

ATP Driven Pumps II: P-type Pumps

6.4K
The P-type pumps are a large family of integral membrane transporter ATPases. They are divided into five major types based on substrate specificity, from I to V.
A typical P-type pump has three cytosolic domains: nucleotide-binding (N), phosphorylation (P), and activator (A) domains. These domains are connected to the membrane-spanning helices by short amino acid segments. ATP hydrolysis and covalent phosphoenzyme intermediate formation are crucial parts of the catalytic cycle. At the highly...
6.4K

You might also read

Related Articles

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

Sort by
Same author

Loss of O-antigen due to <i>wbbL</i> mutations is common and associated with increased mortality in <i>Escherichia coli</i> bloodstream infections.

Science advances·2026
Same author

Report from the BV-BRC, CDC, NCBI, and NIAID Viral Sub-Species Classification Workshop.

Journal of virology·2026
Same author

A Triple-Modality Peptide-Antibiotic-Phage Therapy Eradicates Multidrug-Resistant <i>Serratia marcescens</i> Biofilms.

bioRxiv : the preprint server for biology·2026
Same author

cAMRah: a scalable and portable workflow for harmonized antimicrobial resistance gene prediction from bacterial genomes.

Bioinformatics advances·2026
Same author

BV-BRC: a unified bacterial and viral bioinformatics resource with expanded functionality and AI integration.

Nucleic acids research·2025
Same author

In Silico Identification and Molecular Characterization of <i>Lentilactobacillus hilgardii</i> Antimicrobial Peptides with Activity Against Carbapenem-Resistant <i>Acinetobacter baumannii</i>.

Antibiotics (Basel, Switzerland)·2025
Same journal

OpenIMC: an open-source platform for analyzing single-cell and spatial proteomics by imaging mass cytometry.

BMC bioinformatics·2026
Same journal

NAP: an open source pipeline for cross-domain microbiome profiling using Nanopore sequencing-derived amplicon data.

BMC bioinformatics·2026
Same journal

SurvGME: an R package for survival analysis with graphical and measurement error models.

BMC bioinformatics·2026
Same journal

SimMapNet: a Bayesian framework for gene regulatory network inference using gene ontology similarities as external hint.

BMC bioinformatics·2026
Same journal

Dual channel drug-drug interactions extraction based on cross attention.

BMC bioinformatics·2026
Same journal

FeSseqdb: a curated sequence-level database and interpretable machine learning framework for identifying iron-sulfur proteins.

BMC bioinformatics·2026
See all related articles

Related Experiment Video

Updated: Jan 31, 2026

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
07:11

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

Published on: November 10, 2023

3.3K

OMeta: an ontology-based, data-driven metadata tracking system.

Indresh Singh1, Mehmet Kuscuoglu2, Derek M Harkins3

  • 1J. Craig Venter Institute, 9605 Medical Center Drive, Suite 150, Rockville, MD, 20850, USA. isingh@jcvi.org.

BMC Bioinformatics
|January 8, 2019
PubMed
Summary
This summary is machine-generated.

OMeta is a new web application that helps researchers manage metadata for complex omics studies. It streamlines data collection, validation, and sharing, improving the impact of multi-omics research.

Keywords:
Data depositData integrityGSC/BRC standardsGenomicsMIMSMIxSMetadataOntologyStandards

More Related Videos

A Data-Driven Approach to Quantifying Immune States in Sepsis
07:42

A Data-Driven Approach to Quantifying Immune States in Sepsis

Published on: February 7, 2025

540
A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

16.5K

Related Experiment Videos

Last Updated: Jan 31, 2026

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
07:11

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

Published on: November 10, 2023

3.3K
A Data-Driven Approach to Quantifying Immune States in Sepsis
07:42

A Data-Driven Approach to Quantifying Immune States in Sepsis

Published on: February 7, 2025

540
A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

16.5K

Area of Science:

  • Genomics and Bioinformatics
  • Microbial Ecology
  • Infectious Disease Research

Background:

  • High-throughput sequencing has advanced multi-omics studies across thousands of microbial species and pathogens.
  • Omics studies are crucial for genotype-phenotype associations, pathogen virulence, drug resistance, and disease outbreak tracking.
  • Effective omics studies require detailed, organized, and consistent contextual metadata.

Purpose of the Study:

  • To address the limitations of existing metadata tracking tools.
  • To provide an event-based system for configuring, collecting, validating, and distributing metadata.
  • To enhance the impact and integration of multi-omics data.

Main Methods:

  • Development of OMeta, a data-driven, event-based web application.
  • OMeta features a browser-based interface and a command-line interface (CLI).
  • Supports configuration based on existing standards or project-specific goals, with various input types and ontology integration.

Main Results:

  • OMeta provides an intuitive platform for configuring, capturing, viewing, and sharing metadata.
  • Organizes metadata by events such as sample collection, quantification, sequencing, and analysis.
  • Maintains a complete audit trail and allows metadata export in CSV format for public database deposition.

Conclusions:

  • OMeta is a web-based software application designed for configuring and customizing data standards.
  • It facilitates the capture, curation, and sharing of metadata for multi-omics research.
  • The application is built on data-driven principles to support the scientific community.