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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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The Antiviral System of Bacteria and Archaea: CRISPR01:23

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CRISPR stands for Clustered Regularly Interspaced Short Palindromic Repeats is a adaptive immune system found in bacteria and archaea that protects against viral infections. This system enables prokaryotic cells to identify, remember, and neutralize foreign genetic elements, primarily bacteriophages, by storing fragments of the invader’s DNA as a genetic memory.The CRISPR immune response begins during an initial infection. Cas (CRISPR-associated) proteins play a central role in this...
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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.
The CRISPR-Cas system stores a copy of foreign DNA in the host genome and uses it to identify the foreign DNA upon reinfection. CRISPR-Cas has three different...
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DNA Microarrays02:34

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Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
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Related Experiment Video

Updated: Mar 3, 2026

Field-Deployable Candidatus Liberibacter asiaticus Detection Using Recombinase Polymerase Amplification Combined with CRISPR-Cas12a
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CRF: detection of CRISPR arrays using random forest.

Kai Wang1, Chun Liang1

  • 1Department of Biology, Miami University, Oxford, OH, USA.

Peerj
|May 3, 2017
PubMed
Summary

We developed CRISPR Finder by Random Forest (CRF), a novel web tool for accurate CRISPR array detection in microbial genomes. CRF enhances precision by using a random forest classifier to filter false positives, improving upon existing methods.

Keywords:
CRISPRData visualizationMachine learningRandom forestRepeat detection

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Area of Science:

  • Genomics
  • Bioinformatics
  • Microbial Genetics

Background:

  • CRISPRs (clustered regularly interspaced short palindromic repeats) are crucial genetic elements in bacteria and archaea.
  • Existing tools for CRISPR array detection have limitations in accuracy and visualization.
  • Accurate identification of CRISPR arrays is vital for understanding microbial adaptive immunity and genome evolution.

Purpose of the Study:

  • To develop a highly accurate and user-friendly web-based tool for detecting CRISPR arrays.
  • To improve the reliability of CRISPR detection by implementing a machine learning approach.
  • To provide advanced visualization capabilities for CRISPR array analysis.

Main Methods:

  • Development of CRISPR Finder by Random Forest (CRF), a web-based tool.
  • Utilizing a random forest classifier trained on triplet elements combining sequence and structure information.
  • Implementing an interactive web interface for data visualization.

Main Results:

  • CRF demonstrated high accuracy and sensitivity in detecting CRISPR arrays.
  • The random forest classifier effectively filtered out invalid CRISPR array candidates.
  • CRF provides unique interactive visualization of query sequences, array architecture, and repeat/spacer structures.

Conclusions:

  • CRF significantly enhances the accuracy of CRISPR array detection compared to existing tools.
  • The tool's advanced visualization features aid in the examination and validation of detected CRISPR arrays.
  • CRF offers a valuable resource for microbial genomics research, freely available online.