ReDtool: a Python-based command line tool for restriction digestion analysis of large DNA sequences

IF 1.5 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Journal of Plant Biochemistry and Biotechnology Pub Date : 2024-07-24 DOI:10.1007/s13562-024-00906-z
Guntha Shiva Brahmam, Divya Mishra, Vikash Kumar Yadav
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Abstract

Developing an in-silico restriction digestion tool is vital in modern molecular biology and genomics. We develop ReDtool, a Python 3-based command-line toolkit to simulate restriction digestion processes. ReDtool offers a virtual digestion function, simulating restriction digestion on a provided sequence by specifying any desired restriction site. We validated the output of ReDtool experimentally using restriction analysis and Sanger sequencing. ReDtool processes large genomic sequences efficiently, accepting FASTA or text format as input. The output file includes detailed information such as restriction site position, fragment length, and fragment sequence. With its high throughput and precision, ReDtool enables comprehensive restriction digestion analysis of chromosomes or genomes, addressing a critical need in genomic research with its straightforward approach (https://github.com/CBL205NIPGR/ReDtool).

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ReDtool:基于 Python 命令行的大型 DNA 序列限制性消化分析工具
在现代分子生物学和基因组学研究中,开发一种室内限制性消化工具至关重要。我们开发的 ReDtool 是一个基于 Python 3 的命令行工具包,用于模拟限制性消化过程。ReDtool 提供虚拟消化功能,通过指定任何所需的限制性位点,模拟对所提供序列的限制性消化。我们通过限制性分析和桑格测序实验验证了 ReDtool 的输出结果。ReDtool 接受 FASTA 或文本格式作为输入,可高效处理大型基因组序列。输出文件包括限制位点位置、片段长度和片段序列等详细信息。ReDtool 具有高通量和高精度的特点,可对染色体或基因组进行全面的限制性消化分析,以其简单直接的方法满足基因组研究的关键需求 (https://github.com/CBL205NIPGR/ReDtool)。
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来源期刊
Journal of Plant Biochemistry and Biotechnology
Journal of Plant Biochemistry and Biotechnology 生物-生化与分子生物学
CiteScore
3.90
自引率
0.00%
发文量
59
审稿时长
>12 weeks
期刊介绍: The Journal publishes review articles, research papers, short communications and commentaries in the areas of plant biochemistry, plant molecular biology, microbial and molecular genetics, DNA finger printing, micropropagation, and plant biotechnology including plant genetic engineering, new molecular tools and techniques, genomics & bioinformatics.
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