ArticleBriefings in bioinformatics2024
Enhancing clinical genomic accuracy with panelGC: a novel metric and tool for quantifying and monitoring GC biases in hybridization capture panel sequencing.
Article in Briefings in bioinformatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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
9 citing papers in PubMed.
- Machine learning uncovers previously undetectable genetic deletions in cancer panel sequencing.NPJ precision oncology · 2026Article
- Addressing the selectivity challenge in matrix metalloproteinases: fragment-based design of MMP-9 inhibitors targeting the S1' pocket.Molecular diversity · 2026Article
- Free energy perturbation and machine learning-assisted identification of novel molecules for the Mycobacterium tuberculosis KasA protein: a fragment-based drug design approach.Molecular diversity · 2026Article
- AI-driven drug design: a comprehensive review.Journal of computer-aided molecular design · 2026Review
- Free energy perturbation and machine learning-assisted identification of potential MAP3K8 hit molecules: a comprehensive structure- and ligand-based studies.Molecular diversity · 2026Article
- Article
- Opening New Horizons: Advanced Hematopoietic Stem Cell Expansion Strategies Bridging Cord Blood Therapy from Bench To Bedside.Stem cell reviews and reports · 2026Review
- Selectively targeting the IKKβ by 11,11'-methylenebisdibenzo[a, c]phenazine (SIKB-7543) downregulates aberrant NF-κB signaling to control the proliferation and induce apoptosis in Hodgkin lymphoma.Medical oncology (Northwood, London, England) · 2025Article
- A Differential Depth Sequencing Method, SPRE-Seq, for Enhancing Targeted Region Coverage in Hybridization Capture-Based NGS.Engineering in life sciences · 2025Article
Corrections and comments
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Authors and funding
17 authors.
Funding
Abstract
Accurate assessment of fragment abundance within a genome is crucial in clinical genomics applications such as the analysis of copy number variation (CNV). However, this task is often hindered by biased coverage in regions with varying guanine-cytosine (GC) content. These biases are particularly exacerbated in hybridization capture sequencing due to GC effects on probe hybridization and polymerase chain reaction (PCR) amplification efficiency. Such GC content-associated variations can exert a negative impact on the fidelity of CNV calling within hybridization capture panels. In this report, we present panelGC, a novel metric, to quantify and monitor GC biases in hybridization capture sequencing data. We establish the efficacy of panelGC, demonstrating its proficiency in identifying and flagging potential procedural anomalies, even in situations where instrument and experimental monitoring data may not be readily accessible. Validation using real-world datasets demonstrates that panelGC enhances the quality control and reliability of hybridization capture panel sequencing.
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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.