ReviewBriefings in bioinformatics2019
Review of applications of high-throughput sequencing in personalized medicine: barriers and facilitators of future progress in research and clinical application.
Review in Briefings in bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
90 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Pooled it
- Application of the conventional and novel methods in testing EGFR variants for NSCLC patients in the last 10 years through different regions: a systematic review.Molecular biology reports · 2021Pooled it
- Adversarial random forests for omics synthesis.bioRxiv : the preprint server for biology · 2026Article
- High-resolution reconstruction of cell-type-specific transcriptional regulatory processes from bulk sequencing samples.Nature biotechnology · 2026Article
- De Bruijn graphs for pangenomics: in-depth performance benchmarking of de Bruijn graph-based tools for read mapping.Briefings in bioinformatics · 2026Article
- Toward a Common Set of Interface Requirements for Genomic Data Management: Scoping Review.Journal of medical Internet research · 2026Article
- GeNePi: a graphics processing unit enhanced next-generation bioinformatics pipeline for whole-genome sequencing analysis.Briefings in bioinformatics · 2026Article
- Oral implanomics: transitioning from experience-based discipline to AI-driven therapeutic paradigm - radiomics and artificial intelligence in oral implantology.Frontiers in oral health · 2026Article
- MARM: a framework for malignancy risk prediction from host-derived CNV in bronchoalveolar lavage fluid mNGS data with microbial admixture.Frontiers in microbiology · 2026Article
- Implementing a training resource for large-scale genomic data analysis in the All of Us Researcher Workbench.American journal of human genetics · 2025Review
- A Bioelectrochemical Crossbar Architecture Screening Platform (BiCASP) for Extracellular Electron Transfer.bioRxiv : the preprint server for biology · 2025Article
- Artificial intelligence and anti-cancer drugs' response.Acta pharmaceutica Sinica. B · 2025Review
- Review
- High-throughput sequencing: a breakthrough in molecular diagnosis for precision medicine.Functional & integrative genomics · 2025Review
- Editorial: Multi-scale systems: ecological approaches to investigate the role of the microbiota in different niches.Frontiers in molecular biosciences · 2025Article
- The Use of Next-Generation Sequencing in Personalized Medicine.Methods in molecular biology (Clifton, N.J.) · 2025Review
- The diagnostic and prognostic value ofBioImpacts : BI · 2025Article
- MulitDeepsurv: survival analysis of gastric cancer based on deep learning multimodal fusion models.Biomedical optics express · 2025Article
- Visualization Methods for DNA Sequences: A Review and Prospects.Biomolecules · 2024Review
- RNA-seq validation: software for selection of reference and variable candidate genes for RT-qPCR.BMC genomics · 2024Article
30 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There has been an exponential growth in the performance and output of sequencing technologies (omics data) with full genome sequencing now producing gigabases of reads on a daily basis. These data may hold the promise of personalized medicine, leading to routinely available sequencing tests that can guide patient treatment decisions. In the era of high-throughput sequencing (HTS), computational considerations, data governance and clinical translation are the greatest rate-limiting steps. To ensure that the analysis, management and interpretation of such extensive omics data is exploited to its full potential, key factors, including sample sourcing, technology selection and computational expertise and resources, need to be considered, leading to an integrated set of high-performance tools and systems. This article provides an up-to-date overview of the evolution of HTS and the accompanying tools, infrastructure and data management approaches that are emerging in this space, which, if used within in a multidisciplinary context, may ultimately facilitate the development of personalized medicine.
Indexed as
Identifiers
What OpenQuestion holds
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.