ArticleBMC bioinformatics2025
H
Article in BMC 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.
What it found
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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.
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.
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Who cites it
0 citing papers in PubMed.
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Authors and funding
2 authors.
Funding
Abstract
backgroundChromatin immunoprecipitation followed by sequencing (ChIP-seq) is a widely used technique for mapping protein-DNA interactions and histone modifications across the genome. Despite its utility, current analysis tools often require manual file processing, rigid input formats, and a significant level of bioinformatics expertise, posing a challenge for many experimental researchers.
resultsWe present H3NGST (Hybrid, High-throughput, and High-resolution NGS Toolkit), a fully automated and user-friendly web-based platform for ChIP-seq analysis. H3NGST streamlines the entire analysis workflow, including raw data retrieval via BioProject ID, quality control, adapter trimming, reference genome alignment, peak calling, and genomic annotation. The system also categorizes peaks by genomic region, such as promoters. With minimal user input, H3NGST provides high resolution and reproducible results for both transcription factor binding and histone modification studies.
conclusionsH3NGST significantly reduces the technical barriers to ChIP-seq analysis by eliminating the need for local installations, programming skills, or large file uploads. Its intuitive web interface and mobile accessibility extend its usability to researchers with different computational backgrounds. The platform is scalable for high-throughput studies and is freely available at https://ngschiphhh.duckdns.org .
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Registered trials
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.