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

Genomics02:02

Genomics

38.1K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
38.1K
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
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

6.5K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
6.5K
Proteomics01:33

Proteomics

8.6K
A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
8.6K

You might also read

Related Articles

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

Sort by
Same author

The human gut microbiome across the life course.

FEBS letters·2026
Same author

Linking Targeted Pancreatic Cancer Genes With Metabolic Disorders: A Cross-Species Translational Pathway.

Cancer medicine·2026
Same author

Major Traumatic and Severe Thermal Injuries Lead to Immediate and Persistent Elevations in Circulating Concentrations of Resistin That Are Associated with Poor Clinical Outcomes and Impaired Innate Immune Responses.

Biomolecules·2026
Same author

A Network-Based Association of IBD and Colorectal Cancer Using Proteomics Data.

Proteomics. Clinical applications·2026
Same author

Alterations in Tryptophan Metabolism and the Indole Pathway in Colorectal Cancer Patients: A Systematic Review and Meta-analysis.

MedComm·2025
Same author

An exploratory machine learning study on paediatric abdominal pain phenotyping and prediction.

PloS one·2025
Same journal

Hidden in the Pangenome? Machine Learning-Driven Discovery of Antimicrobial Potential in <i>Corynebacterium glutamicum</i>.

Bioinformatics and biology insights·2026
Same journal

<i>In silico</i> Design and Analysis of Engineered Proteins Containing Multi-Epitope and Immunodominant Domains Derived From <i>Rickettsia prowazekii A</i>ntigens.

Bioinformatics and biology insights·2026
Same journal

Chemoinformatic Approaches to Identify Bioactive Inhibitors Against Type I Dehydroquinase (DHQ1) Enzyme of Typhoidal <i>Salmonella</i>.

Bioinformatics and biology insights·2026
Same journal

Web-Based Graphical User Interface Design Integrating MATLAB Server for the Mathematical Model of Human Cardiovascular-Respiratory System.

Bioinformatics and biology insights·2026
Same journal

Listeria Genome Identification Using DNABERT Embedding With LightGBM and SHAP-Based Explainable Classification.

Bioinformatics and biology insights·2026
Same journal

A Novel Bioinformatics Pipeline and a Machine-Learning Approach for Antimicrobial Resistance Phenotypic Prediction.

Bioinformatics and biology insights·2026
See all related articles

Related Experiment Video

Updated: Oct 25, 2025

Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools
07:01

Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools

Published on: August 19, 2025

304

Cloud Computing Enabled Big Multi-Omics Data Analytics.

Saraswati Koppad1, Annappa B1, Georgios V Gkoutos2,3,4,5,6,7

  • 1Department of Computer Science and Engineering, National Institute of Technology Karnataka, Surathkal, India.

Bioinformatics and Biology Insights
|August 11, 2021
PubMed
Summary
This summary is machine-generated.

Cloud computing offers a flexible, low-cost solution for analyzing large omics datasets in bioinformatics, addressing challenges in storage, analysis, and sharing for multifactorial disease research.

Keywords:
Big datacloud computingdata analyticsdata integrationmulti-omics data

More Related Videos

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
08:51

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

Published on: September 20, 2024

1.6K
Author Spotlight: Advancing Alzheimer's Research &#8211; Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

1.4K

Related Experiment Videos

Last Updated: Oct 25, 2025

Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools
07:01

Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools

Published on: August 19, 2025

304
Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
08:51

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

Published on: September 20, 2024

1.6K
Author Spotlight: Advancing Alzheimer's Research &#8211; Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

1.4K

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • High-throughput experiments generate large omics datasets for studying complex diseases.
  • Managing and analyzing these high-dimensional datasets presents significant storage, analysis, and sharing challenges.
  • Traditional computational methods struggle with the scale and complexity of modern omics data.

Purpose of the Study:

  • To review the adoption of cloud computing and big data technologies in bioinformatics.
  • To highlight the utility of cloud solutions for processing and analyzing omics data.
  • To provide insights into state-of-the-art cloud bioinformatics applications.

Main Methods:

  • Review of current literature on cloud computing and big data in bioinformatics.
  • Analysis of cloud-based tools and platforms for omics data.
  • Examination of applications in molecular modeling, omics data analytics, and phenotypic data integration.

Main Results:

  • Cloud computing provides a scalable, cost-effective, and flexible solution for omics data challenges.
  • Cloud platforms facilitate advanced analytics for RNA sequencing, metabolomics, and proteomics data.
  • Integration and interpretation of phenotypic data are enhanced through cloud-based approaches.

Conclusions:

  • Cloud and big data technologies are essential for advancing multifactorial disease research.
  • The adoption of cloud bioinformatics accelerates data processing, analysis, and interpretation.
  • Future research should focus on optimizing cloud infrastructure for complex biological data analysis.