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

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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Publication Details

Journal
Data in Brief
Published
2025-06-02
DOI
https://doi.org/10.1016/j.dib.2025.111724
Citations
1
Primary Topic
Circular RNAs in diseases
Type
article
Field-Weighted Citation Impact
0.81
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article

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

Maryam Lotfi Shahreza, Abbas Foroutan, Parvaneh Nikpour, Sadra Salehi-Mazandarani
1 citations
Data in Brief
Circular RNAs in diseases
0.81
article

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

Maryam Lotfi Shahreza, Abbas Foroutan, Parvaneh Nikpour, Sadra Salehi-Mazandarani
article en
1 citations

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.

Data in BriefVol. 61
Isfahan University of Medical Sciences (IR), Tarbiat Modares University (IR), University of Isfahan (IR), University of Gothenburg (SE)
Openalex Percentile: Top 27%
Circular RNAs in diseases
0.81
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CircPac: A web-based analysis toolset for exploring circular RNA data — Maryam Lotfi Shahreza, Abbas Foroutan, et al. · Data in Brief (2025) | TGRS Research Map | TGRS