Evidence map›Paper›PMID 40862515›Full record

ArticleBriefings in bioinformatics2025

Pore-C Pipeline-Toolbox: a comprehensive pipeline for Pore-C data analysis.

Zhenji Wang, Qiangqiang Fu, Fuming Lai, Qiangwei Zhou, Yaping Fang, Guoliang Li

Abstract read
In one paragraph

Article in Briefings in bioinformatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Zhenji WangNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, 66 Nanhu Avenue, Wuhan, Hubei Province, Wuhan 430070, China.ORCID 0009-0006-6975-6078
Qiangqiang FuNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, 66 Nanhu Avenue, Wuhan, Hubei Province, Wuhan 430070, China.ORCID 0009-0008-2556-8619
Fuming LaiNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, 66 Nanhu Avenue, Wuhan, Hubei Province, Wuhan 430070, China.ORCID 0009-0002-6944-8244
Qiangwei ZhouNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, 66 Nanhu Avenue, Wuhan, Hubei Province, Wuhan 430070, China.ORCID 0000-0002-7948-177X
Yaping FangNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, 66 Nanhu Avenue, Wuhan, Hubei Province, Wuhan 430070, China.ORCID 0000-0001-6075-0768
Guoliang LiNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, 66 Nanhu Avenue, Wuhan, Hubei Province, Wuhan 430070, China.ORCID 0000-0003-1601-6640

Funding

National Key Research and Development Program of China 2021YFC2701201National Natural Science Foundation of China 32250710678National Natural Science Foundation of China 32370630
6 · The paper itself

Abstract

Three-dimensional (3D) genomic architecture is crucial for the regulation of different biological processes, and the study of multi-way chromatin structures represents a cutting-edge area in this field. Pore-C is an advanced experimental technique integrating chromosome conformation capture (3C) with Nanopore long-read sequencing, which can effectively capture complex multi-way chromatin contacts across the genome. Due to the absence of comprehensive and dedicated tools, the analysis of Pore-C data remains challenging, restricting its broader application. To address this limitation, we developed Pore-C Pipeline Toolbox (PPL-Toolbox), a specialized software for a comprehensive analysis of multi-way chromatin interactions from Pore-C data. PPL-Toolbox incorporates a suite of optimized modules, including quality control, multi-way interaction extraction, noise reduction for multi-way contacts, advanced visualization tools for multi-way contacts, and haplotype map generation. Evaluation on both simulated and real datasets demonstrates that the PPL-Toolbox outperforms existing methods by providing a more comprehensive set of results. PPL-Toolbox is expected to become a powerful and versatile tool, driving advance in multi-way 3D genomics research, and enabling new discoveries in the field. PPL-Toolbox is publicly available on GitHub (https://github.com/versarchey/PPL-Toolbox).

Indexed as

ChromatinGenomicsNanoporesSoftwareComputational BiologyHumansChromatin3D genomicslong-read sequencingmulti-way chromatin conformation capture

Identifiers

PMID40862515
PMCPMC12381758

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.