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

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.9K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.9K
Synthetic Biology02:55

Synthetic Biology

5.0K
Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
Golden rice is a genetically modified...
5.0K

You might also read

Related Articles

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

Sort by
Same author

Experimental and computational approaches for deep metabolome annotation with application to the ecotoxicological model organism Daphnia magna.

GigaScience·2026
Same author

Regional HNSCC metabolomics reveals widespread changes to one-carbon metabolism and S-adenosylmethionine metabolism across tumour core, tumour edge and adjacent non-tumour tissues.

British journal of cancer·2026
Same author

A comprehensive European Colorectal Cancer Cohort dataset.

Scientific data·2026
Same author

GNNenrich: a novel method for pathway enrichment analysis based on graph neural network.

Bioinformatics (Oxford, England)·2025
Same author

Towards a new vision of PaNET: enhancing reasoning capabilities for better photon and neutron data discovery.

Journal of synchrotron radiation·2025
Same author

Analysis of metabolomics and transcriptomics data to assess interactions in microalgal co-culture of Skeletonema marinoi and Prymnesium parvum.

PloS one·2025
Same journal

NanoporeDB: A Structural Resource Of Multimeric Protein Nanopores For Single-Molecule Sensing.

GigaScience·2026
Same journal

From the Brain Cell Atlas to Precision Neurology: A review of the application of AI-driven multi-omics in brain science.

GigaScience·2026
Same journal

Comparison of Deep Learning Approaches for Extreme Low-SNR Image Restoration.

GigaScience·2026
Same journal

ScopeViewer: A Browser-Based Solution for Visualizing Large Biological Images.

GigaScience·2026
Same journal

ChatMDV: Reducing Technical Barriers in Bioinformatics Analysis using Large Language Models.

GigaScience·2026
Same journal

ClusterGraph: a new tool for visualisation and compression of multidimensional data.

GigaScience·2026
See all related articles

Related Experiment Video

Updated: Oct 20, 2025

Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods
05:34

Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods

Published on: June 6, 2025

989

ISA API: An open platform for interoperable life science experimental metadata.

David Johnson1,2, Dominique Batista1, Keeva Cochrane3

  • 1Oxford e-Research Centre, Department of Engineering Science, University of Oxford, 7 Keble Road, Oxford, OX1 3QG, UK.

Gigascience
|September 16, 2021
PubMed
Summary
This summary is machine-generated.

A new Python library, the ISA API, simplifies handling life science experiment metadata. It enables programmatic creation, editing, and validation of ISA-Tab and ISA-JSON formats for better data sharing and automation.

Keywords:
APIlife sciencemetadataopen-source softwarereproducibilitystandards

More Related Videos

gP2S, an Information Management System for CryoEM Experiments
13:01

gP2S, an Information Management System for CryoEM Experiments

Published on: June 10, 2021

5.6K
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

758

Related Experiment Videos

Last Updated: Oct 20, 2025

Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods
05:34

Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods

Published on: June 6, 2025

989
gP2S, an Information Management System for CryoEM Experiments
13:01

gP2S, an Information Management System for CryoEM Experiments

Published on: June 10, 2021

5.6K
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

758

Area of Science:

  • Life Sciences
  • Bioinformatics
  • Data Management

Background:

  • The Investigation/Study/Assay (ISA) Metadata Framework uses open-source specifications and tools for life science experiment metadata.
  • Original ISA tools were Java-based for ISA-Tab format; ISA-JSON was developed for machine accessibility and programmatic metadata manipulation.

Purpose of the Study:

  • To introduce the ISA API, a Python library for managing ISA-Tab and ISA-JSON metadata.
  • To facilitate programmatic creation, editing, parsing, and validation of experimental metadata.

Main Methods:

  • Development of a Python library (ISA API) utilizing a common data model with Python object classes.
  • Engineering the library to support both ISA-Tab and ISA-JSON formats.

Main Results:

  • The ISA API offers robust programmatic metadata handling capabilities.
  • The library supports automation, provides a common interface, and ensures interoperability between ISA formats.

Conclusions:

  • The ISA API enhances accessibility and programmatic control over life science metadata.
  • It serves as an interoperable medium for data deposition into public databases and integration with other data formats.