ReviewGenome biology2019
Genomics and data science: an application within an umbrella.
Review in Genome biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed.
- Unleashing potential: assessing Africa's readiness for the data science revolution to impact health.Nature communications · 2026Review
- SCI-VCF: a cross-platform GUI solution to summarize, compare, inspect and visualize the variant call format.NAR genomics and bioinformatics · 2024Article
- Applications of Machine Learning (ML) and Mathematical Modeling (MM) in Healthcare with Special Focus on Cancer Prognosis and Anticancer Therapy: Current Status and Challenges.Pharmaceutics · 2024Review
- Gene co-expression network construction and analysis for identification of genetic biomarkers associated with glioblastoma multiforme using topological findings.Journal of the Egyptian National Cancer Institute · 2023Article
- Ten simple rules for using public biological data for your research.PLoS computational biology · 2023Article
- Ten simple rules for investigating (meta)genomic data from environmental ecosystems.PLoS computational biology · 2022Article
- KARAJ: An Efficient Adaptive Multi-Processor Tool to Streamline Genomic and Transcriptomic Sequence Data Acquisition.International journal of molecular sciences · 2022Article
- Returning individual research results in international direct-to-participant genomic research: results from a 31-country study.European journal of human genetics : EJHG · 2022Article
- Darwinian genomics and diversity in the tree of life.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Data Mining, Quality and Management in the Life Sciences.Methods in molecular biology (Clifton, N.J.) · 2022Article
- SamQL: a structured query language and filtering tool for the SAM/BAM file format.BMC bioinformatics · 2021Article
- Review
- The case for AI-driven cancer clinical trials - The efficacy arm in silico.Biochimica et biophysica acta. Reviews on cancer · 2021Review
- Blockchain for genomics and healthcare: a literature review, current status, classification and open issues.PeerJ · 2021Article
- Ethical Considerations on Pediatric Genetic Testing Results in Electronic Health Records.Applied clinical informatics · 2020Article
- Information Theory in Computational Biology: Where We Stand Today.Entropy (Basel, Switzerland) · 2020Article
- Open data in a deeply connected world.Genome biology · 2020Article
- Article
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
Abstract
Data science allows the extraction of practical insights from large-scale data. Here, we contextualize it as an umbrella term, encompassing several disparate subdomains. We focus on how genomics fits as a specific application subdomain, in terms of well-known 3 V data and 4 M process frameworks (volume-velocity-variety and measurement-mining-modeling-manipulation, respectively). We further analyze the technical and cultural "exports" and "imports" between genomics and other data-science subdomains (e.g., astronomy). Finally, we discuss how data value, privacy, and ownership are pressing issues for data science applications, in general, and are especially relevant to genomics, due to the persistent nature of DNA.
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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.