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

Synthetic Biology02:55

Synthetic Biology

5.4K
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...
5.4K
Genomics02:02

Genomics

39.4K
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...
39.4K
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

1.3K
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
1.3K
Applications of Molecular Taxonomy01:20

Applications of Molecular Taxonomy

394
Molecular taxonomy has revolutionized the understanding and classification of bacteria, providing precise insights into their diversity, evolutionary relationships, and ecological roles. By utilizing molecular techniques such as DNA sequencing and fingerprinting, researchers have made significant strides in various fields related to bacterial studies.Resolving Taxonomic AmbiguitiesMolecular taxonomy has been instrumental in distinguishing closely related bacterial species initially thought to...
394

You might also read

Related Articles

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

Sort by
Same author

Science must be seen as a viable profession for the many, not the few.

Nature·2026
Same author

Evaluating the environmental justice dimensions of odor in Denver, Colorado.

Journal of exposure science & environmental epidemiology·2025
Same author

The role of Neurofilament light (NfL) and glial fibrillary acidic protein (GFAP) in MS and AQP4-NMOSD: Advancing clinical applications.

eNeurologicalSci·2025
Same author

Prions: structure, function, evolution, and disease.

Archives of microbiology·2024
Same author

Solving the protein folding problem….

FEBS letters·2024
Same author

Genotypic and phenotypic characterisation of asymptomatic bacteriuria (ABU) isolates displaying bacterial interference against multi-drug resistant uropathogenic E. Coli.

Archives of microbiology·2024

Related Experiment Video

Updated: Dec 17, 2025

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

9.5K

The democratization of bioinformatics: A software engineering perspective.

Brendan Lawlor, Roy D Sleator

    Gigascience
    |June 21, 2020
    PubMed
    Summary

    Cloud computing advances enable small teams to create large-scale software products. This study details how similar software engineering principles can democratize scalable and reproducible bioinformatic engineering for biologists and bioinformaticians.

    Keywords:
    bioinformaticscloud computingdemocratizationscalabilitysoftware engineering

    More Related Videos

    An Experimental and Bioinformatics Protocol for RNA-seq Analyses of Photoperiodic Diapause in the Asian Tiger Mosquito, Aedes albopictus
    12:10

    An Experimental and Bioinformatics Protocol for RNA-seq Analyses of Photoperiodic Diapause in the Asian Tiger Mosquito, Aedes albopictus

    Published on: November 30, 2014

    13.7K
    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

    10.3K

    Related Experiment Videos

    Last Updated: Dec 17, 2025

    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

    9.5K
    An Experimental and Bioinformatics Protocol for RNA-seq Analyses of Photoperiodic Diapause in the Asian Tiger Mosquito, Aedes albopictus
    12:10

    An Experimental and Bioinformatics Protocol for RNA-seq Analyses of Photoperiodic Diapause in the Asian Tiger Mosquito, Aedes albopictus

    Published on: November 30, 2014

    13.7K
    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

    10.3K

    Area of Science:

    • Bioinformatics
    • Software Engineering
    • Cloud Computing

    Background:

    • Historically, developing internet-scale software required large organizations.
    • Cloud computing has democratized distributed systems engineering for generalist software engineers.
    • Bioinformatics often lacks access to scalable and reproducible engineering practices.

    Purpose of the Study:

    • To adapt software engineering advances for bioinformaticians.
    • To democratize access to scalable and reproducible bioinformatic engineering.
    • To present practical solutions for generalist bioinformaticians and biologists.

    Main Methods:

    • Leveraging cloud computing principles.
    • Applying general software engineering best practices.
    • Developing and presenting novel solutions based on internal efforts.

    Main Results:

    • Demonstration of how cloud computing facilitates internet-scale product development for small teams.
    • Identification of specific software engineering techniques applicable to bioinformatics.
    • Provision of a framework for democratizing bioinformatic engineering.

    Conclusions:

    • Advances in cloud computing and software engineering can be translated to benefit bioinformatics.
    • Democratizing bioinformatic engineering empowers smaller teams and generalists.
    • The presented solutions enable scalable, reproducible, and accessible bioinformatic development.