ReviewExpert review of molecular diagnostics2017
Genomics pipelines and data integration: challenges and opportunities in the research setting.
Review in Expert review of molecular diagnostics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.
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
48 citing papers in PubMed.
- JanusX: an integrated and high-performance platform for scalable genome-wide association studies and genomic selection.The Plant journal : for cell and molecular biology · 2026Article
- MetaboGraph: A Framework for Metabolomics and Lipidomics Annotation and Pathway Network Analysis.Analytical chemistry · 2026Article
- Transcriptomic and epigenomic insights into ovarian cancer: a bioinformatics perspective - a narrative review.Annals of medicine and surgery (2012) · 2026Article
- Mining viruses in public databases unveils the diversity within the Deltaflexiviridae family.Archives of virology · 2026Article
- LCR-modules: a collection of workflows for cancer genome analysis.Bioinformatics (Oxford, England) · 2026Article
- Targeting Gut Microbiota by DPP-4 Inhibitors in Obesity: Mechanistic Insights and Therapeutic Implications.Current nutrition reports · 2026Review
- Toward a Common Set of Interface Requirements for Genomic Data Management: Scoping Review.Journal of medical Internet research · 2026Article
- Mining Two Decades of Soybean Genomics Literature Using Rule-Based Text Mining: Chromosome-Resolved Patterns ofInternational journal of molecular sciences · 2026Article
- Article
- Large Language Models for Non-Coding RNA Biomarker Discovery in Breast Cancer.Methods in molecular biology (Clifton, N.J.) · 2026Article
- ACMTF-R: Supervised multi-omics data integration uncovering shared and distinct outcome-associated variation.PloS one · 2026Article
- Oral dysbiosis: methodological evolution, the mobile resistome and the future of machine learning in dentistry.Journal of oral microbiology · 2026Review
- Bioinformatics and artificial intelligence in genomic data analysis: current advances and future directions.Molecular genetics and genomics : MGG · 2025Review
- Review
- Next-Generation Sequencing (NGS): Platforms and Applications.Journal of pharmacy & bioallied sciences · 2024Review
- The Power of Clinical Diagnosis for Deciphering Complex Genetic Mechanisms in Rare Diseases.Genes · 2023Review
- Multiscale modeling in the framework of biological systems and its potential for spaceflight biology studies.iScience · 2022Review
- Local data commons: the sleeping beauty in the community of data commons.BMC bioinformatics · 2022Article
- A Method for Variant Agnostic Detection of SARS-CoV-2, Rapid Monitoring of Circulating Variants, and Early Detection of Emergent Variants Such as Omicron.Journal of clinical microbiology · 2022Article
- Whole Genome Sequencing Contributions and Challenges in Disease Reduction Focused on Malaria.Biology · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
introductionThe emergence and mass utilization of high-throughput (HT) technologies, including sequencing technologies (genomics) and mass spectrometry (proteomics, metabolomics, lipids), has allowed geneticists, biologists, and biostatisticians to bridge the gap between genotype and phenotype on a massive scale. These new technologies have brought rapid advances in our understanding of cell biology, evolutionary history, microbial environments, and are increasingly providing new insights and applications towards clinical care and personalized medicine. Areas covered: The very success of this industry also translates into daunting big data challenges for researchers and institutions that extend beyond the traditional academic focus of algorithms and tools. The main obstacles revolve around analysis provenance, data management of massive datasets, ease of use of software, interpretability and reproducibility of results. Expert commentary: The authors review the challenges associated with implementing bioinformatics best practices in a large-scale setting, and highlight the opportunity for establishing bioinformatics pipelines that incorporate data tracking and auditing, enabling greater consistency and reproducibility for basic research, translational or clinical settings.
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.