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

Extraction: Advanced Methods00:56

Extraction: Advanced Methods

Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is formed in...

You might also read

Related Articles

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

Sort by
Same author

Corrigendum: Bio-TDS: bioscience query tool discovery system.

Nucleic acids research·2018
Same author

The Next Generation of Training for Arabidopsis Researchers: Bioinformatics and Quantitative Biology.

Plant physiology·2017
Same author

Bio-TDS: bioscience query tool discovery system.

Nucleic acids research·2016
Same author

MaizeGDB: The Maize Genetics and Genomics Database.

Methods in molecular biology (Clifton, N.J.)·2015
Same author

An ontology approach to comparative phenomics in plants.

Plant methods·2015
Same author

Finding our way through phenotypes.

PLoS biology·2015
Same journal

Rapid Evolution of Expression Levels in Hepatocellular Carcinoma.

International journal of computational biology and drug design·2021
Same journal

Identifying the dynamic gene regulatory network during latent HIV-1 reactivation using high-dimensional ordinary differential equations.

International journal of computational biology and drug design·2021
Same journal

PATH: An interactive web platform for analysis of time-course high-dimensional genomic data.

International journal of computational biology and drug design·2021
Same journal

Modelling of hypoxia gene expression for three different cancer cell lines.

International journal of computational biology and drug design·2020
Same journal

Brain-wide structural connectivity alterations under the control of Alzheimer risk genes.

International journal of computational biology and drug design·2020
Same journal

Native State of Complement Protein C3d Analysed via Hydrogen Exchange and Conformational Sampling.

International journal of computational biology and drug design·2019
See all related articles

Related Experiment Video

Updated: Jun 17, 2026

A Clinical Metaproteomics Workflow Implemented within Galaxy Bioinformatics Platform to Analyze Host-Microbiome Interactions Underlying Human Disease
09:52

A Clinical Metaproteomics Workflow Implemented within Galaxy Bioinformatics Platform to Analyze Host-Microbiome Interactions Underlying Human Disease

Published on: January 10, 2025

Implementing bioinformatic workflows within the bioextract server.

Carol M Lushbough1, Michael K Bergman, Carolyn J Lawrence

  • 1Department of Computer Science, University of South Dakota, Vermillion, SD 57069, USA. Carol.Lushbough@usd.edu

International Journal of Computational Biology and Drug Design
|January 9, 2010
PubMed
Summary
This summary is machine-generated.

The BioExtract Server offers a web-based solution for bioinformatics computational workflows, enabling researchers to query diverse data sources and execute analytic tools efficiently. This system facilitates the creation and reuse of complex analytical pipelines for scientific discovery.

More Related Videos

A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq
07:09

A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq

Published on: May 28, 2021

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved (Non-model) Organisms
10:41

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved (Non-model) Organisms

Published on: May 9, 2017

Related Experiment Videos

Last Updated: Jun 17, 2026

A Clinical Metaproteomics Workflow Implemented within Galaxy Bioinformatics Platform to Analyze Host-Microbiome Interactions Underlying Human Disease
09:52

A Clinical Metaproteomics Workflow Implemented within Galaxy Bioinformatics Platform to Analyze Host-Microbiome Interactions Underlying Human Disease

Published on: January 10, 2025

A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq
07:09

A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq

Published on: May 28, 2021

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved (Non-model) Organisms
10:41

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved (Non-model) Organisms

Published on: May 9, 2017

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Data Science

Background:

  • Computational workflows are crucial for modern scientific advancements in bioinformatics.
  • These workflows often necessitate integrating distributed data sources and analytical tools.
  • Existing systems may lack comprehensive support for managing and executing complex bioinformatics tasks.

Purpose of the Study:

  • To introduce the BioExtract Server, a distributed web service for bioinformatics.
  • To enable researchers to query multiple data sources, save results, and execute analytical tools.
  • To facilitate the creation, saving, and modification of computational workflows.

Main Methods:

  • Development of a distributed web service architecture.
  • Implementation of functionalities for querying heterogeneous data sources.
  • Integration of data set saving and analytical tool execution capabilities.
  • Background task saving for workflow construction and modification.

Main Results:

  • The BioExtract Server provides a unified web interface for accessing distributed bioinformatics resources.
  • Researchers can create searchable data sets from query results.
  • Computational workflows can be dynamically constructed, saved, and re-executed.
  • The system supports iterative refinement and modification of analytical pipelines.

Conclusions:

  • The BioExtract Server enhances the efficiency and reproducibility of computational workflows in bioinformatics.
  • It empowers researchers by simplifying the integration of data and tools for scientific discovery.
  • The platform promotes a more streamlined approach to complex data analysis in biological research.