ArticleScientific data2016
An open access pilot freely sharing cancer genomic data from participants in Texas.
Article in Scientific data, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed.
- SoMaCX: a complex generative genome modeling framework.BMC genomics · 2025Article
- From DNA to Big Data: NGS Technologies and Their Applications.Methods in molecular biology (Clifton, N.J.) · 2025Review
- Brain Tumor Characterization Using Radiogenomics in Artificial Intelligence Framework.Cancers · 2022Review
- Article
- Hummingbird: efficient performance prediction for executing genomic applications in the cloud.Bioinformatics (Oxford, England) · 2021Article
- Responsible, practical genomic data sharing that accelerates research.Nature reviews. Genetics · 2020Review
- TarPan: an easily adaptable targeted sequencing panel viewer for research and clinical use.BMC bioinformatics · 2020Article
- Polymorphic edge detection (PED): two efficient methods of polymorphism detection from next-generation sequencing data.BMC bioinformatics · 2019Article
- Personal Genome Project UK (PGP-UK): a research and citizen science hybrid project in support of personalized medicine.BMC medical genomics · 2018Article
- DNAp: A Pipeline for DNA-seq Data Analysis.Scientific reports · 2018Article
- Chromatic: WebAssembly-Based Cancer Genome Viewer.Cancer informatics · 2018Review
- Using the Seven Bridges Cancer Genomics Cloud to Access and Analyze Petabytes of Cancer Data.Current protocols in bioinformatics · 2017Article
- More options = more access.Nature medicine · 2016Article
- Can free open access resources strengthen knowledge-based emerging public health priorities, policies and programs in Africa?F1000Research · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
Genomic data sharing in cancer has been restricted to aggregate or controlled-access initiatives to protect the privacy of research participants. By limiting access to these data, it has been argued that the autonomy of individuals who decide to participate in data sharing efforts has been superseded and the utility of the data as research and educational tools reduced. In a pilot Open Access (OA) project from the CPRIT-funded Texas Cancer Research Biobank, many Texas cancer patients were willing to openly share genomic data from tumor and normal matched pair specimens. For the first time, genetic data from 7 human cancer cases with matched normal are freely available without requirement for data use agreements nor any major restriction except that end users cannot attempt to re-identify the participants (http://txcrb.org/open.html).
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.