hDNApipe: streamlining human genome analysis and interpretation with an intuitive and user-friendly interface

With the rapid evolution of next-generation sequencing technology, numerous tools have emerged across multiple stages in the human genome analysis, complicating the assembly of an appropriate pipeline. To address this challenge, there is a pressing need for an efficient and user-friendly tool that combines extensive features with intuitive operation to streamline the process. Here we introduced hDNApipe, a highly flexible end-to-end pipeline tool designed for the analysis and interpretation of human genomic sequencing data. It is developed using bash scripts and the Python standard graphical user interface library Tkinter, which endows it with excellent usability and accessibility. This pipeline directly obtains variants and associated information, and also optionally enables the visualization of variants and downstream analysis. hDNApipe features dual-mode operation with both the command-line interface and graphical user interface, and provides multiple parameter options that enable users to conduct customized analysis. It features an extraordinarily convenient installation process with a dedicated docker setup, eliminating the complexity of manually installing dependencies. It has been tested on a Linux server using publicly available data. Furthermore, benchmarking with other available pipelines was conducted from alignment to variant calling, demonstrating hDNApipe's outstanding performance in terms of time consumption, precision, and sensitivity.

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Publication Details

Journal
NAR Genomics and Bioinformatics
Published
2025-03-29
DOI
https://doi.org/10.1093/nargab/lqaf088
Primary Topic
Genomics and Phylogenetic Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

hDNApipe: streamlining human genome analysis and interpretation with an intuitive and user-friendly interface

Qingyu Cheng, Ying Zhou, Qiqin Wu, Yaxin Zhang et al.
NAR Genomics and Bioinformatics
Genomics and Phylogenetic Studies
article

hDNApipe: streamlining human genome analysis and interpretation with an intuitive and user-friendly interface

Qingyu Cheng, Ying Zhou, Qiqin Wu, Yaxin Zhang, Tengchuan Jin
article en

Abstract

With the rapid evolution of next-generation sequencing technology, numerous tools have emerged across multiple stages in the human genome analysis, complicating the assembly of an appropriate pipeline. To address this challenge, there is a pressing need for an efficient and user-friendly tool that combines extensive features with intuitive operation to streamline the process. Here we introduced hDNApipe, a highly flexible end-to-end pipeline tool designed for the analysis and interpretation of human genomic sequencing data. It is developed using bash scripts and the Python standard graphical user interface library Tkinter, which endows it with excellent usability and accessibility. This pipeline directly obtains variants and associated information, and also optionally enables the visualization of variants and downstream analysis. hDNApipe features dual-mode operation with both the command-line interface and graphical user interface, and provides multiple parameter options that enable users to conduct customized analysis. It features an extraordinarily convenient installation process with a dedicated docker setup, eliminating the complexity of manually installing dependencies. It has been tested on a Linux server using publicly available data. Furthermore, benchmarking with other available pipelines was conducted from alignment to variant calling, demonstrating hDNApipe's outstanding performance in terms of time consumption, precision, and sensitivity.

NAR Genomics and BioinformaticsVol. 7(2)
University of Science and Technology of China (CN), Hefei University (CN), National Science Centre (PL)
National Natural Science Foundation of China, Chinese Academy of Sciences, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 86%
Genomics and Phylogenetic Studies
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