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

Protein Complex Assembly02:41

Protein Complex Assembly

10.6K
Proteins can form homomeric complexes with another unit of the same protein or heteromeric complexes with different types.  Most protein complexes self-assemble spontaneously via ordered pathways, while some proteins need assembly factors that guide their proper assembly. Despite the crowded intracellular environment, proteins usually interact with their correct partners and form functional complexes.
Many viruses self-assemble into a fully functional unit using the infected host cell to...
10.6K
The Replisome03:01

The Replisome

33.4K
DNA replication is carried out by a large complex of proteins that act in a coordinated matter to achieve high-fidelity DNA replication. Together this complex is known as the DNA replication machinery or the replisome.
The synthesis of the leading and lagging strands is a highly coordinated process. To explain this, the “Trombone model” was proposed by Bruce Alberts in 1980. The DNA loop formation starts when a primer is synthesized on the parent lagging strand. The loop grows with...
33.4K

You might also read

Related Articles

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

Sort by
Same author

The transcriptional gradient in negative-strand RNA viruses suggests a common RNA transcription mechanism.

PLoS computational biology·2026
Same author

Self-documenting plasmids.

Trends in biotechnology·2025
Same author

The Transcriptional Gradient in Negative-Strand RNA Viruses Suggests a Common RNA Transcription Mechanism.

bioRxiv : the preprint server for biology·2024
Same author

Successful adaptation of a MinION nanopore for protein sequencing.

Synthetic biology (Oxford, England)·2024
Same author

Self-Documenting Plasmids.

bioRxiv : the preprint server for biology·2024
Same author

Sequencing Strategy to Ensure Accurate Plasmid Assembly.

ACS synthetic biology·2024
Same journal

MCFST: Spatial domain identification method based on multi-view graph convolutional network and graph fusion network.

Bioinformatics (Oxford, England)·2026
Same journal

SpaBiT: Enhancing Spatial Transcriptomics Resolution via Bidirectional Attention Transformers.

Bioinformatics (Oxford, England)·2026
Same journal

EDEL: Enhancing Dense Retrievers for Curation of Biomedical Knowledge Bases.

Bioinformatics (Oxford, England)·2026
Same journal

Informative Relational Learning for Adverse Reaction Prediction with Enhanced Generalization to Novel Drugs.

Bioinformatics (Oxford, England)·2026
Same journal

An interpretable deep learning framework uncovers features governing CRISPR-Cas9 genome-editing efficiency.

Bioinformatics (Oxford, England)·2026
Same journal

3DICE: Interpretable 3D Cross-Modal Learning for Drug-Target Interaction Prediction and Large-Scale Drug Discovery.

Bioinformatics (Oxford, England)·2026
See all related articles

Related Experiment Video

Updated: Jun 27, 2025

Use of In Vivo Assembly for High-efficiency Plasmid Construction
06:25

Use of In Vivo Assembly for High-efficiency Plasmid Construction

Published on: February 7, 2025

450

PlasCAT: Plasmid Cloud Assembly Tool.

Samuel Peccoud1, Casey-Tyler Berezin2, Sarah I Hernandez2

  • 1GenoFAB, Inc., Fort Collins, CO 80528, United States.

Bioinformatics (Oxford, England)
|May 2, 2024
PubMed
Summary
This summary is machine-generated.

Plasmid Cloud Assembly Tool (PlasCAT) simplifies de novo plasmid sequence assembly from raw sequencing data for nontechnical users. This cloud-based tool offers faster results using high-performance computing for both long and short reads.

More Related Videos

Rapid Assembly of Multi-Gene Constructs using Modular Golden Gate Cloning
08:31

Rapid Assembly of Multi-Gene Constructs using Modular Golden Gate Cloning

Published on: February 5, 2021

13.5K
Improving Student Outcomes with an Adaptable Molecular Cloning Course-Based Undergraduate Research Experience
10:17

Improving Student Outcomes with an Adaptable Molecular Cloning Course-Based Undergraduate Research Experience

Published on: November 15, 2024

1.0K

Related Experiment Videos

Last Updated: Jun 27, 2025

Use of In Vivo Assembly for High-efficiency Plasmid Construction
06:25

Use of In Vivo Assembly for High-efficiency Plasmid Construction

Published on: February 7, 2025

450
Rapid Assembly of Multi-Gene Constructs using Modular Golden Gate Cloning
08:31

Rapid Assembly of Multi-Gene Constructs using Modular Golden Gate Cloning

Published on: February 5, 2021

13.5K
Improving Student Outcomes with an Adaptable Molecular Cloning Course-Based Undergraduate Research Experience
10:17

Improving Student Outcomes with an Adaptable Molecular Cloning Course-Based Undergraduate Research Experience

Published on: November 15, 2024

1.0K

Area of Science:

  • Bioinformatics
  • Molecular Biology
  • Genomics

Background:

  • De novo plasmid sequence assembly from raw sequencing data is crucial for synthetic biology and genetic engineering.
  • Existing tools often require significant bioinformatics expertise and command-line proficiency.
  • The need for accessible, user-friendly tools for plasmid assembly is growing.

Purpose of the Study:

  • To introduce Plasmid Cloud Assembly Tool (PlasCAT), a novel cloud-based bioinformatics platform.
  • To enable de novo plasmid sequence assembly for users without coding experience.
  • To accelerate plasmid assembly using high-performance computing.

Main Methods:

  • PlasCAT utilizes a cloud-based architecture for sequence assembly.
  • The tool processes both long-read and short-read sequencing data.
  • High-performance computing servers are employed to optimize assembly run times.

Main Results:

  • PlasCAT successfully performs de novo plasmid sequence assembly from raw sequencing data.
  • The platform is accessible to nontechnical users, eliminating the need for coding.
  • Assembly processes are significantly faster due to the use of high-performance computing.

Conclusions:

  • PlasCAT democratizes plasmid sequence assembly, making it accessible to a broader scientific audience.
  • The tool enhances research efficiency by providing rapid and user-friendly plasmid assembly.
  • PlasCAT represents a significant advancement in cloud-based bioinformatics tools for genetic research.