CRISPR-Cas9 Guide RNA Designer using Python

The CRISPR-Cas9 gene editing, based on a bacterial immune mechanism, offers precise DNA editing techniques for gene therapy, disease treatment, and improved agricultural crops. This paper reviews the various aspects of the technology and outlines how a bioinformatics tool that combines sequence retrieval, characteristics analysis, and user interaction can be used create a systematic framework for building guide RNAs for CRISPR-Cas9 gene editing. The tool, built using Python and Streamlit, allows users to enter in the DNA sequence of choice, and automatically extract guide RNAs that can potentially be used for gene editing. Then, based on user inputs, it then ranks the extracted sequences from least compatible to most compatible for the user's purpose.

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Publication Details

Published
2024-11-07
DOI
https://doi.org/10.1109/csitss64042.2024.10816736
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
0.00
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CRISPR-Cas9 Guide RNA Designer using Python

P. S. Basavaraj, Narendra Kumar S, A. Hariharan, B H Abhisha et al.
CRISPR and Genetic Engineering
article

CRISPR-Cas9 Guide RNA Designer using Python

P. S. Basavaraj, Narendra Kumar S, A. Hariharan, B H Abhisha, K Bhumika
article en

Abstract

The CRISPR-Cas9 gene editing, based on a bacterial immune mechanism, offers precise DNA editing techniques for gene therapy, disease treatment, and improved agricultural crops. This paper reviews the various aspects of the technology and outlines how a bioinformatics tool that combines sequence retrieval, characteristics analysis, and user interaction can be used create a systematic framework for building guide RNAs for CRISPR-Cas9 gene editing. The tool, built using Python and Streamlit, allows users to enter in the DNA sequence of choice, and automatically extract guide RNAs that can potentially be used for gene editing. Then, based on user inputs, it then ranks the extracted sequences from least compatible to most compatible for the user's purpose.

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CRISPR and Genetic Engineering
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