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

Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

1.6K
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
1.6K
ER Retrieval Pathway01:45

ER Retrieval Pathway

3.8K
In the secretory pathway, vesicles transport proteins from one cellular compartment to another in forward transport to deliver the protein to its correct location. Occasionally, misfolded proteins and incorrect proteins escape their original compartments, and a retrieval pathway is used to return the escaped proteins to their original compartment.
The ER uses many checkpoints to prevent the entry of incorrectly folded or a resident protein as cargo onto a transport vesicle. These mechanisms...
3.8K
Drug Discovery: Overview01:26

Drug Discovery: Overview

10.3K
Drug discovery is a multifaceted process involving extensive screening, testing, and optimization of lead compounds to identify potential new drugs for therapeutic use. It combines several approaches, including screening large numbers of natural products, chemical modification of known active molecules, identification of new drug targets, and rational design based on biological mechanisms and drug-receptor structure. These approaches are carried out in both academic research laboratories and...
10.3K
Nursing Clinical Information System01:27

Nursing Clinical Information System

1.3K
Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
1.3K

You might also read

Related Articles

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

Sort by
Same author

Preparation of Polyvinyl Alcohol/Chitosan/<i>Antrodia cinnamomea</i> Polysaccharide Composite Film Incorporated with Tea Tree Essential Oil: Structure, Antioxidant, Antibacterial Activities, and Application in Postharvest 'Yuluxiang' Pear Preservation.

Foods (Basel, Switzerland)·2026
Same author

Early response to ivarmacitinib and its impact on long-term efficacy in patients with moderate-to-severe atopic dermatitis: a <i>post hoc</i> analysis of a phase-III trial.

The Journal of dermatological treatment·2026
Same author

[Catalytic synthesis of dihydroavenanthramide D by lipase RWL].

Sheng wu gong cheng xue bao = Chinese journal of biotechnology·2026
Same author

Early Pregnancy Blood Pressure Trajectory Groups Predict Hypertensive Disorders of Pregnancy.

JACC. Advances·2026
Same author

Case Report: A rare co-occurrence of IgA pemphigus and pyoderma gangrenosum associated with IgA-κ type monoclonal gammopathy of undetermined significance: a 19-year diagnostic and therapeutic journey.

Frontiers in immunology·2026
Same author

Association of sarcopenia with the long-term risk of overall infections and infectious diseases: a prospective cohort study of 458 332 participants.

MedScience·2026

Related Experiment Video

Updated: Apr 27, 2026

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

1.9K

A query suggestion workflow for life science IR-systems.

Maria Esch1, Jinbo Chen1, Stephan Weise1

  • 1Leibniz Institute of Plant Genetics and Crop Plant Research, Germany.

Journal of Integrative Bioinformatics
|June 24, 2014
PubMed
Summary

This study introduces a multi-stage workflow for computer-aided query suggestion in life sciences. The system, LAILAPS, improves information retrieval (IR) by enhancing query refinement and suggestion processes for biological datasets.

More Related Videos

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

2.6K
Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

10.8K

Related Experiment Videos

Last Updated: Apr 27, 2026

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

1.9K
A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

2.6K
Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

10.8K

Area of Science:

  • Life Sciences
  • Bioinformatics
  • Information Retrieval

Background:

  • Keyword-based queries are common in life sciences for biological dataset exploration.
  • Query quality significantly impacts search results and scientist effort in refinement.
  • Current systems offer limited computer-aided query expansion and suggestion.

Purpose of the Study:

  • To design and implement a multi-stage query suggestion workflow for life science information systems.
  • To enhance the capabilities of existing information retrieval (IR) systems.
  • To improve the efficiency and effectiveness of searching complex biological datasets.

Main Methods:

  • Developed a multi-stage query suggestion workflow.
  • Integrated enhanced tokenization, word breaking, spelling correction, and query expansion.
  • Implemented a ranking mechanism for query suggestions.
  • Evaluated performance using a spelling correction benchmark and use cases for query expansion.

Main Results:

  • The implemented workflow demonstrated superior performance compared to state-of-the-art systems.
  • Spelling correction benchmark showed significant accuracy improvements.
  • Query expansion use cases highlighted the workflow's advantages in retrieving relevant biological information.

Conclusions:

  • The proposed multi-stage workflow significantly enhances computer-aided query suggestion in life sciences.
  • LAILAPS system offers a more comprehensive approach to query refinement and expansion.
  • This advancement aids scientists in more efficient exploration of integrated biological data.