pyBrick-DNA:一个基于python的自动基因组件组装环境。

IF 1.4 4区 生物学 Q4 BIOCHEMICAL RESEARCH METHODS
Journal of Computational Biology Pub Date : 2023-12-01 Epub Date: 2023-11-20 DOI:10.1089/cmb.2023.0008
Gladys M Cavero Rozas, Jose M Cisneros Mandujano, Yomali A Ferreyra Chombo, Daniela V Moreno Rencoret, Yerko M Ortiz Mora, Martín E Gutiérrez Pescarmona, Alberto J Donayre Torres
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引用次数: 0

摘要

遗传元件组装是遗传电路仿真与实现的关键。自动化这个过程,从而加速原型制作,是必要的。我们介绍了pyBrick-DNA,一个用Python编写的软件,用于组装构建遗传电路的组件。pyBrick-DNA (colab.pyBrick.com)是一个用户友好的环境,科学家可以在其中选择基因序列或输入自定义序列来构建基因组装。所有的组件都被模块化地融合在一起,以产生一个现成的单个DNA片段。它包括集群规则间隔短回文重复序列(CRISPR)和植物基因编辑组件。因此,pyBrick-DNA可以生成由单导RNA与Cas9、启动子和终止子结合组成的功能性CRISPR构建体。结果是一个DNA序列,连同一个图形表示,由用户选择的基因部分组成,准备在体内合成和克隆。此外,该序列可以导出为GenBank文件,以便与其他合成生物学工具一起使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
pyBrick-DNA: A Python-Based Environment for Automated Genetic Component Assembly.

Genetic component assembly is key in the simulation and implementation of genetic circuits. Automating this process, thus accelerating prototyping, is a necessity. We present pyBrick-DNA, a software written in Python, that assembles components for the construction of genetic circuits. pyBrick-DNA (colab.pyBrick.com) is a user-friendly environment where scientists can select genetic sequences or input custom sequences to build genetic assemblies. All components are modularly fused to generate a ready-to-go single DNA fragment. It includes Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) and plant gene-editing components. Hence, pyBrick-DNA can generate a functional CRISPR construct composed of a single-guided RNA integrated with Cas9, promoters, and terminator elements. The outcome is a DNA sequence, along with a graphical representation, composed of user-selected genetic parts, ready to be synthesized and cloned in vivo. Moreover, the sequence can be exported as a GenBank file allowing its use with other synthetic biology tools.

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来源期刊
Journal of Computational Biology
Journal of Computational Biology 生物-计算机:跨学科应用
CiteScore
3.60
自引率
5.90%
发文量
113
审稿时长
6-12 weeks
期刊介绍: Journal of Computational Biology is the leading peer-reviewed journal in computational biology and bioinformatics, publishing in-depth statistical, mathematical, and computational analysis of methods, as well as their practical impact. Available only online, this is an essential journal for scientists and students who want to keep abreast of developments in bioinformatics. Journal of Computational Biology coverage includes: -Genomics -Mathematical modeling and simulation -Distributed and parallel biological computing -Designing biological databases -Pattern matching and pattern detection -Linking disparate databases and data -New tools for computational biology -Relational and object-oriented database technology for bioinformatics -Biological expert system design and use -Reasoning by analogy, hypothesis formation, and testing by machine -Management of biological databases
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