Data acquisition

  • Article
    | Open Access

    The increasing scale and scope of biomedical data is generating tremendous opportunities for improving health outcomes, but also raises new challenges ranging from data acquisition and storage to data analysis and utilization. To meet these challenges, the authors develop the Personal Health Dashboard, which provides an end-to-end solution for deep biomedical data analytics.

    • Amir Bahmani
    • , Arash Alavi
    •  & Michael P. Snyder
  • Article
    | Open Access

    Modern biological research is complicated by the difficulty of collecting, transforming, annotating, and integrating datasets. Here, the authors present Go Get Data, a fast, reproducible approach to installing standardized data recipes, with an application to genomics data.

    • Michael J. Cormier
    • , Jonathan R. Belyeu
    •  & Aaron R. Quinlan
  • Article
    | Open Access

    Digital trace data from search engines lacks information about the experiences of the individuals generating the data. Here the authors link search data and human computation to build a tracking model of influenza-like illness.

    • Stefan Wojcik
    • , Avleen S. Bijral
    •  & David Lazer
  • Article
    | Open Access

    How to design experiments that accelerate knowledge discovery on complex biological landscapes remains a tantalizing question. Here, the authors present OPEX, an optimal experimental design method to identify informative omics experiments for both experimental space exploration and model training.

    • Xiaokang Wang
    • , Navneet Rai
    •  & Ilias Tagkopoulos
  • Article
    | Open Access

    Mechanistic inference following GWAS is hampered by the lack of tissue-specific transcriptomic resources. Here the authors combine genetic variants predisposing to type 2 diabetes with human pancreatic islet RNA-seq data. They identify 7741 islet expression quantitative trait loci (eQTLs), providing a resource for functional interpretation of association signals mapping to non-coding sequence.

    • Ana Viñuela
    • , Arushi Varshney
    •  & Mark I. McCarthy
  • Article
    | Open Access

    Combining cryo-electron tomography with subtomogram averaging (StA) allows the in situ structure determination of proteins and protein complexes. Here, the authors present the hybrid StA (hStA) workflow that combines the advantages of single particle cryo-EM and StA and consists of a tomographic data collection scheme and a data processing workflow and they demonstrate how hStA can improve the resolution using two examples: the ion channel RyR1 and tobacco mosaic virus.

    • Ricardo M. Sanchez
    • , Yingyi Zhang
    •  & Mikhail Kudryashev
  • Article
    | Open Access

    The transcriptomic profile of tumour-adjacent cells provides important information about tumour context but its clinical utility is unclear. Here, in breast cancer, Fox et al. show that the mRNA abundances of tumour and tumour-adjacent cells hold prognostic information.

    • Natalie S. Fox
    • , Syed Haider
    •  & Paul C. Boutros