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Promises of a Healthier Future

Medical Genetics on Finnish Television News 1987-2000

Iina Hellsten

“Public Understanding of Science”.’ Public Understanding of Science 7 (4): 313-327. Nelkin, Dorothy & Lindee, Susan (1995) The DNA mystique. The Gene as a Cultural Icon. New York: Reeman. Rosner & Johnson (1995) Telling Stories: Metaphors of the Human Genome Project.’ Hypatia, 10 (4): 104-129. Rusanen, Timo; von Wright, Atte & Rusanen, Maria (2001) ‘Biotechnology in Finland: Transcending Tradition.’ In Gaskell, G. & Bauer, M. (Eds.) Biotechnology 1996-2000, the Years of Controversy. London: Science Museum, pp. 172

Open access

Tolga Yuret

that have been included in at least 3,000 publications. The keywords are sorted in descending order. “Embryonic stem-cells” has 2.52 YK and “innate human immunity” has 1.57 YK. Table 2 Best 30 performers in terms of YK. embryonic stem-cells; carbon nanotubes; field-effect transistors; graphite; genome-wide association; caenorhabditis-elegans; DNA methylation; living cells; regulatory t-cells; gold nanoparticles; tgf-beta; one-pot synthesis; quantum dots; functionalization; electrodes; acute myeloid-leukemia; long-term potentiation; activated

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Maria Esteva, Ramona L. Walls, Andrew B. Magill, Weijia Xu, Ruizhu Huang, James Carson and Jawon Song

, probes), processes (e.g., sequencing, genome assembly), and data as entities Entities are how we operationalize classes of files in a data model. that relate to specific lifecycle stages of their research projects. Users can register and associate large data that are distributed across storage systems, including similar data instances, with these entities and upload corresponding metadata via web forms or in bulk. Around the different entities, the metadata are used to differentiate the structure and components of the dataset. Once data are registered in IDS

Open access

Liang Hong, Mengqi Luo, Ruixue Wang, Peixin Lu, Wei Lu and Long Lu

of data. For example, as can be seen from the Human Genome Project completed in 2003, one single genome in human DNA occupies 100–150 gigabytes ( Marx, 2013 ; O’Driscoll, Daugelaite, & Sleator, 2013 ). In terms of data size, Big Data in health care exceeded 150 exabytes after 2011 (Wang, Kung, Ting, & Byrd, 2015), and a study showed that data size in health care is estimated to be around 40 ZB in 2020, about 50 times the 2009 figure of 0.8 ZB (O et al., 2013) ( Fig. 1A ). Figure 1A Data explosion in health care In addition, as researchers continue to

Open access

Neil R. Smalheiser and Aaron M. Cohen

utilize our existing resources but also donate their own processed features and similarity metrics (subject to evaluation and space limitations). We have added a Repository of Processed Text and Resources page to the project website that encourages others to donate their processed text and features back to us so that we can integrate them into our suite and host them publicly. This is not unlike the UCSC Genome Browser ( https://genome.ucsc.edu/ ) where any group can donate tracks, download tracks, or juxtapose their own private custom tracks on public data. Our

Open access

Weijia Xu, Amit Gupta, Pankaj Jaiswal, Crispin Taylor, Patti Lockhart and Jennifer Regala

Planteome ( Tello-Ruiz et al., 2017 ; Cooper L et al., 2017 ). The Gramene database is freely available for download and used as long as Gramene is cited as the source. This includes the tools available at Gramene including but not limited to RiceCyc, CMap Viewer, Gramene Mart, and the Genome Browser ( Tello-Ruiz et al., 2017 ). A core-processing task common to above projects of information integration is the need of NLP and text mining. In practice, these needs are met through customized software development process due to the limited transferability described in the