CircPac: A web-based analysis toolset for exploring circular RNA data

IF 1 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief Pub Date : 2025-06-02 DOI:10.1016/j.dib.2025.111724

Amir Hossein Foroutan , Sadra Salehi-Mazandarani , Maryam Lotfi-Shahreza , Parvaneh Nikpour

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引用次数: 0

Abstract

Circular RNAs (circRNAs) are a type of RNAs that play crucial roles in various biological processes. Their outstanding properties such as tissue-specific expression and high resistance to exonuclease degradation make them attractive for research. However, a comprehensive analysis tool for analyzing circRNA data is still required. Here, we present CircPac, a newly developed web-based toolset that searches databases like circBase, circBank, and circRNADisease and organizes data to provide and visualize circRNAs information. Our toolset was created using the Python programming language and its libraries, such as pandas, seaborn, and the Django framework. CircPac enables users to unify the circRNA IDs and subsequently perform various bioinformatic analyses. These analyses include retrieving basic circRNA information, identifying target miRNAs, and analyzing circRNA expression changes in various diseases. Additionally, this toolset generates ready-to-publish figures of circRNA-miRNA interactions and circRNAs expression changes in diseases. CircPac is freely accessible (at https://www.circpac.ir) and offers a user-friendly platform for biologists to efficiently conduct and visualize circRNA data analyses in an appropriate format.

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CircPac：一个基于网络的分析工具集，用于探索环状RNA数据

环状rna （circRNAs）是一类在各种生物过程中起关键作用的rna。它们的突出特性，如组织特异性表达和对外切酶降解的高抗性，使它们具有研究吸引力。然而，我们仍然需要一个全面的分析工具来分析circRNA数据。在这里，我们介绍了CircPac，这是一个新开发的基于网络的工具集，可以搜索circBase、circBank和circRNADisease等数据库，并组织数据以提供和可视化circrna信息。我们的工具集是使用Python编程语言及其库（如pandas、seaborn和Django框架）创建的。CircPac使用户能够统一circRNA id，并随后进行各种生物信息学分析。这些分析包括检索circRNA的基本信息，识别目标mirna，以及分析各种疾病中circRNA的表达变化。此外，该工具集生成准备发表的circRNA-miRNA相互作用和疾病中circrna表达变化的数据。CircPac是免费访问的（在https://www.circpac.ir），为生物学家提供了一个用户友好的平台，以适当的格式有效地进行和可视化circRNA数据分析。

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来源期刊

Data in Brief MULTIDISCIPLINARY SCIENCES-

CiteScore

3.10

自引率

0.00%

发文量

996

审稿时长

70 days

期刊介绍： Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.