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Related Concept Videos

CRISPR01:59

CRISPR

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Genome editing technologies allow scientists to modify an organism’s DNA via the addition, removal, or rearrangement of genetic material at specific genomic locations. These types of techniques could potentially be used to cure genetic disorders such as hemophilia and sickle cell anemia. One popular and widely used DNA-editing research tool that could lead to safe and effective cures for genetic disorders is the CRISPR-Cas9 system. CRISPR-Cas9 stands for Clustered Regularly Interspaced...
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CRISPR and crRNAs02:53

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Bacteria and archaea are susceptible to viral infections just like eukaryotes; therefore, they have developed a unique adaptive immune system to protect themselves. Clustered regularly interspaced short palindromic repeats and CRISPR-associated proteins (CRISPR-Cas) are present in more than 45% of known bacteria and 90% of known archaea.
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The CRISPR-Cas system serves as a bacterial defense mechanism against invading genetic elements such as viruses and plasmids, forming the foundation for its adaptation as a powerful genome-editing tool. Originally discovered in prokaryotes, this system has been repurposed to revolutionize genetic engineering across a wide range of organisms, including plants, animals, and humans. The core component, Cas9, is an endonuclease derived from Streptococcus pyogenes, capable of introducing...
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The basic reaction of homologous recombination (HR) involves two chromatids that contain DNA sequences sharing a significant stretch of identity. One of these sequences uses a strand from another as a template to synthesize DNA in an enzyme-catalyzed reaction. The final product is a novel amalgamation of the two substrates. To ensure an accurate recombination of sequences, HR is restricted to the S and G2 phases of the cell cycle. At these stages, the DNA has been replicated already and the...
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Related Experiment Video

Updated: Jan 8, 2026

An Experimental and Bioinformatics Protocol for RNA-seq Analyses of Photoperiodic Diapause in the Asian Tiger Mosquito, Aedes albopictus
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Democratising high performance computing for bioinformatics through serverless cloud computing: A case study on

Jacob Bradford1,2, Divya Joy1, Mattias Winsen1

  • 1School of Computer Science, Faculty of Science, Queensland University of Technology, Brisbane City, Queensland, Australia.

Plos Computational Biology
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Summary

This study introduces Crackling Cloud, a novel serverless computing platform for bioinformatics, significantly enhancing CRISPR-Cas9 guide RNA design. It lowers computational barriers, making high-performance computing more accessible for researchers.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Organizations face challenges with computational demands for large-scale bioinformatics analyses.
  • Cloud computing offers scalable resources, with serverless computing reducing maintenance and cost.
  • Serverless computing adoption in bioinformatics is currently limited.

Purpose of the Study:

  • To demonstrate extensive high-performance serverless computing for bioinformatics.
  • To adapt the gRNA design tool, Crackling, for a cloud-native, serverless environment.
  • To reduce barriers to large computational capacity in bioinformatics and CRISPR-Cas9 gRNA design.

Main Methods:

  • Developed a novel, cloud-native, serverless high-performance computing environment using Amazon Web Services (AWS).
  • Adapted the established gRNA design tool, Crackling, to this new architecture.
  • Ensured architecture compatibility with leading cloud vendors.

Main Results:

  • Demonstrated the most extensive use of high-performance serverless computing for bioinformatics to date.
  • Successfully applied serverless computing to CRISPR-Cas9 guide RNA design.
  • Created a deployable solution, Crackling Cloud, on any AWS account.

Conclusions:

  • The Crackling Cloud architecture reduces the barrier to large computational capacity in bioinformatics.
  • This serverless approach enhances CRISPR-Cas9 guide RNA design capabilities.
  • The solution promotes wider adoption of serverless computing in bioinformatics research.