ImmPort, toward repurposing of open access immunological assay data for translational and clinical research
By S. Bhattacharya, P. Dunn, Cristel G. Thomas, Barry Smith, Henry Schaefer, Jieming Chen, Zicheng Hu, K. Zalocusky, R. Shankar, S. Shen-Orr and 3 more. Scientific Data, 2018
652 citations recorded by the source corpus.
Immunology researchers are beginning to explore the possibilities of reproducibility, reuse and secondary analyses of immunology data. Open-access datasets are being applied in the validation of the methods used in the original studies, leveraging studies for meta-analysis, or generating new hypotheses. To promote these goals, the ImmPort data repository was created for the broader research community to explore the wide spectrum of clinical and basic research data and associated findings. The ImmPort ecosystem consists of four components–Private Data, Shared Data, Data Analysis, and Resources—for data archiving, dissemination, analyses, and reuse. To date, more than 300 studies have been made freely available through the Shared Data portal (www.immport.org/immport-open), which allows research data to be repurposed to accelerate the translation of new insights into discoveries.
Subfields: Biophysics, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/81081b0e08cde844615e91f450e957b280a2da03
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Citations in the corpus
- An atlas of the protein-coding genes in the human, pig, and mouse brain (2020, methodology): “The hierarchical clustering of brain regions in three species was conducted by using the neighborjoining approach in the ape package (60) in R, based on pairwise Pearson correlational distances between samples.”