DNASCANNER v2:基于网络的核苷酸序列特性分析工具。

IF 1.4 4区 生物学 Q4 BIOCHEMICAL RESEARCH METHODS Journal of Computational Biology Pub Date : 2024-07-01 Epub Date: 2024-04-25 DOI:10.1089/cmb.2023.0227
Preeti P, Azeen Riyaz, Alakto Choudhury, Priyanka Ray Choudhury, Nischal Pradhan, Abhishek Singh, Mihir Nakul, Chhavi Dudeja, Abhijeet Yadav, Swarsat Kaushik Nath, Vrinda Khanna, Trapti Sharma, Gayatri Pradhan, Simran Takkar, Kamal Rawal
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引用次数: 0

摘要

在整个进化过程中,DNA 会经历不同突变的积累,这些突变通常会形成高度组织化的模式,发挥各种基本的生物功能。这些模式包括各种基因组元素,为 DNA 的调控和功能方面提供了宝贵的见解。DNA 序列的物理化学、机械、热力学和结构特性对特定模式的形成起着至关重要的作用。这些特性有助于形成 DNA 的三维结构,并影响它们与蛋白质、调控元件和其他分子的相互作用。在本研究中,我们介绍了 DNASCANNER v2,它是我们之前发布的用于分析 DNA 特性的算法 DNASCANNER 的高级版本。目前的工具是使用 Python 语言的 FLASK 框架构建的。该工具具有专为非专业研究人员定制的友好用户界面,可广泛分析 158 种 DNA 特性,包括 DNA 序列的单/双/三核苷酸频率、结构、物理化学、热力学和机械特性。该工具提供可下载的结果,并提供交互式图表,便于解释和比较不同的特征。我们还展示了 DNASCANNER v2 在分析细菌和人类基因组中的剪接位点连接、casposon 插入序列和转座子插入位点(TIS)方面的实用性。我们还开发了一个深度学习模块,用于预测给定核苷酸序列中潜在的 TIS。未来,我们的目标是通过在更大的数据集上进行广泛的训练来优化这一预测模型的性能。
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DNASCANNER v2: A Web-Based Tool to Analyze the Characteristic Properties of Nucleotide Sequences.

Throughout the process of evolution, DNA undergoes the accumulation of distinct mutations, which can often result in highly organized patterns that serve various essential biological functions. These patterns encompass various genomic elements and provide valuable insights into the regulatory and functional aspects of DNA. The physicochemical, mechanical, thermodynamic, and structural properties of DNA sequences play a crucial role in the formation of specific patterns. These properties contribute to the three-dimensional structure of DNA and influence their interactions with proteins, regulatory elements, and other molecules. In this study, we introduce DNASCANNER v2, an advanced version of our previously published algorithm DNASCANNER for analyzing DNA properties. The current tool is built using the FLASK framework in Python language. Featuring a user-friendly interface tailored for nonspecialized researchers, it offers an extensive analysis of 158 DNA properties, including mono/di/trinucleotide frequencies, structural, physicochemical, thermodynamics, and mechanical properties of DNA sequences. The tool provides downloadable results and offers interactive plots for easy interpretation and comparison between different features. We also demonstrate the utility of DNASCANNER v2 in analyzing splice-site junctions, casposon insertion sequences, and transposon insertion sites (TIS) within the bacterial and human genomes, respectively. We also developed a deep learning module for the prediction of potential TIS in a given nucleotide sequence. In the future, we aim to optimize the performance of this prediction model through extensive training on larger data sets.

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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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