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

6.1K
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...
6.1K
RNA-seq03:21

RNA-seq

11.6K
RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
11.6K
Applications Of NMR In Biology01:25

Applications Of NMR In Biology

4.4K
Nuclear magnetic resonance (NMR) spectroscopy is a very valuable analytical technique for researchers. It has been used for more than 50 years as an analytical tool. F. Bloch and E. Purcell formulated NMR in 1946 and won the 1952 Nobel Prize in Physics  for their work. Biological macromolecules such as proteins, nucleic acids, lipids, and organic molecules including pharmaceutical compounds, can be studied using this versatile tool that exploits the magnetic properties of certain nuclei.
4.4K
Protein Networks02:26

Protein Networks

2.7K
2.7K

You might also read

Related Articles

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

Sort by
Same author

Genome Mining Reveals Pathways for Terpene Production in Aerobic Endospore-Forming Bacteria Isolated from Brazilian Soils.

Microorganisms·2025
Same author

Bio-Strings: A Relational Database Data-Type for Dealing with Large Biosequences.

Biotech (Basel (Switzerland))·2022
Same author

Driftage: a multi-agent system framework for concept drift detection.

GigaScience·2021
Same author

Discovering Selected Antibodies From Deep-Sequenced Phage-Display Antibody Library Using ATTILA.

Bioinformatics and biology insights·2020
Same author

PlantRNA_Sniffer: A SVM-Based Workflow to Predict Long Intergenic Non-Coding RNAs in Plants.

Non-coding RNA·2018
Same author

Roles of Non-Coding RNA in Sugarcane-Microbe Interaction.

Non-coding RNA·2018
Same journal

Proteins Rich in Prime Mass Residues and Their Role in Cell Biology.

Evolutionary bioinformatics online·2026
Same journal

Hybrid Feature Selection-Based Machine Learning and Deep Learning Framework for Biomarker Prediction From RNA-seq Data During Dengue Fever to Severe Dengue Progression.

Evolutionary bioinformatics online·2026
Same journal

Functional Annotation and Molecular Characterization of a Hypothetical Protein From <i>Mycobacterium leprae</i> Through <i>In Silico</i> Approaches: A Potential Therapeutic Target.

Evolutionary bioinformatics online·2026
Same journal

Evolutionary Bioinformatics Expands its Breadth.

Evolutionary bioinformatics online·2026
Same journal

Gene Expression Underlying Teloblast Formation in Leech (Annelida: Hirudinae).

Evolutionary bioinformatics online·2026
Same journal

Computational Optimization of CRISPR-Cas13a sgRNAs Targeting the SARS-CoV-2 Spike Gene for SHERLOCK-Based Diagnostics.

Evolutionary bioinformatics online·2026
See all related articles

Related Experiment Video

Updated: Jan 1, 2026

Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases
07:26

Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases

Published on: March 19, 2018

9.7K

Bioinformatics Workflows With NoSQL Database in Cloud Computing.

Polyane Wercelens1, Waldeyr da Silva1,2, Fernanda Hondo1

  • 1Department of Computer Science, University of Brasília, Brasília, Brazil.

Evolutionary Bioinformatics Online
|December 17, 2019
PubMed
Summary
This summary is machine-generated.

This study enhances Bioinformatics workflow reproducibility using cloud computing and NoSQL databases. It provides a guide for deploying reproducible computational environments in molecular biology research.

Keywords:
Bioinformatics workflowsNoSQLcloud computingdata provenancereproducibility

More Related Videos

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

6.7K
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

9.1K

Related Experiment Videos

Last Updated: Jan 1, 2026

Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases
07:26

Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases

Published on: March 19, 2018

9.7K
Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

6.7K
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

9.1K

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Molecular Biology

Background:

  • Scientific workflows are crucial in Bioinformatics for molecular biology and sequence analyses.
  • Reproducibility and computational environment management are key challenges in Bioinformatics research.
  • Cloud computing offers an accessible and configurable environment for computational tasks.

Purpose of the Study:

  • To propose a solution for improving the reproducibility of Bioinformatics workflows in a cloud environment.
  • To explore the use of Infrastructure as a Service (IaaS) and NoSQL databases for managing provenance data.
  • To provide a guide for deploying cloud environments for Bioinformatics research.

Main Methods:

  • Developed and executed three typical Bioinformatics workflows on private and public clouds.
  • Utilized Infrastructure as a Service (IaaS) for the computational environment.
  • Employed various NoSQL database systems to store provenance data following the PROV-DM standard.

Main Results:

  • Demonstrated improved reproducibility of Bioinformatics workflows in a cloud setting.
  • Evaluated the performance of different NoSQL databases for persisting provenance data.
  • Identified characteristics of NoSQL systems suitable for Bioinformatics provenance tracking.

Conclusions:

  • Cloud computing combined with NoSQL databases effectively enhances Bioinformatics workflow reproducibility.
  • The PROV-DM standard is applicable for managing provenance data in cloud-based Bioinformatics workflows.
  • The findings offer practical guidance for researchers establishing reproducible computational environments.