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

Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

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...
Improving Translational Accuracy02:07

Improving Translational Accuracy

Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
Improving Translational Accuracy02:07

Improving Translational Accuracy

Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
Synthetic Biology02:55

Synthetic Biology

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...
Translational Regulation01:29

Translational Regulation

Translational regulation in prokaryotes ensures efficient protein synthesis by controlling ribosome access to mRNA. This regulation is mediated by secondary RNA structures, including translational riboswitches, RNA thermometers, and small RNAs (sRNAs), which respond to intracellular and environmental signals to modulate gene expression.Translational RiboswitchesRiboswitches in the leader region of mRNAs can regulate translation by altering the accessibility of the Shine-Dalgarno (SD) sequence,...
Recombinant DNA01:09

Recombinant DNA

Overview

You might also read

Related Articles

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

Sort by
Same author

On the state of protein function prediction: a report on the fourth CAFA challenge.

bioRxiv : the preprint server for biology·2026
Same author

Exceptional Longevity Modifying Allele APOE2 Promotes DNA Signaling Pathways Resisting Cellular Senescence in Human Neurons.

Aging cell·2026
Same author

Advances in Protein Function Prediction from the Fifth CAFA Challenge.

bioRxiv : the preprint server for biology·2026
Same author

Integrating real-world data with gold-standard longitudinal clinical and genomic data to advance precision medicine for the Alzheimer's Disease Research Center Program and beyond: a proof-of-concept data platform.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same author

Gene- and domain-aware calibration increases the clinical utility of variant effect predictors.

bioRxiv : the preprint server for biology·2026
Same author

The Evolving Cyberinfrastructure at the National Institutes of Health to Support Data and AI in Biomedical Research.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing·2026
Same journal

Mutational spectrum of SLC26A4 and SLC26A5 associated with hereditary hearing loss in Moroccan families.

Human genomics·2026
Same journal

National genomic projects in Asia and Africa: a review.

Human genomics·2026
Same journal

Analysis of whole-exome sequencing data from nearly 10,000 Iranian individuals: identification of recessive mitochondrial disease variants and proposal of a population-specific carrier screening panel.

Human genomics·2026
Same journal

Replicating lipid micelles: a feasible precursor to the origin of life and the earliest appearance of genomes.

Human genomics·2026
Same journal

Beckwith-Wiedemann spectrum exhibiting a 46,XY karyotype caused by genome-wide paternal uniparental heterodisomy: a case report.

Human genomics·2026
Same journal

Dynamic responses in the human methylome to exertional heat exhaustion, heat injury, and heat stroke.

Human genomics·2026
See all related articles

Related Experiment Video

Updated: May 16, 2026

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

Collaborative software for traditional and translational research.

Ari E Berman1, William K Barnett, Sean D Mooney

  • 1Buck Institute for Research on Aging, Bioinformatics Core, Novato, CA 94945, USA.

Human Genomics
|November 20, 2012
PubMed
Summary
This summary is machine-generated.

Genomic technologies generate massive datasets, necessitating collaborative research. This study outlines requirements and reviews software to enhance multi-institutional biomedical collaborations.

More Related Videos

Biomarker Identification for Gender Specificity of Alzheimer's Disease Based on the Glial Transcriptome Profiles
04:22

Biomarker Identification for Gender Specificity of Alzheimer's Disease Based on the Glial Transcriptome Profiles

Published on: May 20, 2024

Related Experiment Videos

Last Updated: May 16, 2026

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

Biomarker Identification for Gender Specificity of Alzheimer's Disease Based on the Glial Transcriptome Profiles
04:22

Biomarker Identification for Gender Specificity of Alzheimer's Disease Based on the Glial Transcriptome Profiles

Published on: May 20, 2024

Area of Science:

  • Genomics and Bioinformatics
  • Translational Medicine
  • Computational Biology

Background:

  • Genomic technologies and next-generation sequencing produce large datasets, posing storage and analysis challenges.
  • Modern biomedical research requires significant resources, personnel, and multidisciplinary expertise.
  • Translational research adds complexity, demanding collaboration between basic science and clinical applications.

Purpose of the Study:

  • To identify formal technological requirements for effective biomedical research collaborations.
  • To review existing software solutions that support collaborative efforts in biomedical research.

Main Methods:

  • Formal technological requirements were defined based on the needs of large-scale, multidisciplinary research.
  • A review of current software applications was conducted to assess their suitability for supporting collaborations.

Main Results:

  • Large-scale biomedical research necessitates formalized collaboration practices and specialized software.
  • Several software solutions can improve organization, communication, and formalization in collaborative projects.

Conclusions:

  • Formalized collaboration practices and appropriate software are crucial for advancing modern biomedical research.
  • Effective tools are needed to manage the complexities of multi-laboratory and translational research projects.