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Sökning: WFRF:(Sengstag T)

  • Resultat 1-3 av 3
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1.
  • Forrest, ARR, et al. (författare)
  • A promoter-level mammalian expression atlas
  • 2014
  • Ingår i: Nature. - : Springer Science and Business Media LLC. - 1476-4687 .- 0028-0836. ; 507:7493, s. 462-
  • Tidskriftsartikel (refereegranskat)
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2.
  • Noguchi, S, et al. (författare)
  • FANTOM5 CAGE profiles of human and mouse samples
  • 2017
  • Ingår i: Scientific data. - : Springer Science and Business Media LLC. - 2052-4463. ; 4, s. 170112-
  • Tidskriftsartikel (refereegranskat)abstract
    • In the FANTOM5 project, transcription initiation events across the human and mouse genomes were mapped at a single base-pair resolution and their frequencies were monitored by CAGE (Cap Analysis of Gene Expression) coupled with single-molecule sequencing. Approximately three thousands of samples, consisting of a variety of primary cells, tissues, cell lines, and time series samples during cell activation and development, were subjected to a uniform pipeline of CAGE data production. The analysis pipeline started by measuring RNA extracts to assess their quality, and continued to CAGE library production by using a robotic or a manual workflow, single molecule sequencing, and computational processing to generate frequencies of transcription initiation. Resulting data represents the consequence of transcriptional regulation in each analyzed state of mammalian cells. Non-overlapping peaks over the CAGE profiles, approximately 200,000 and 150,000 peaks for the human and mouse genomes, were identified and annotated to provide precise location of known promoters as well as novel ones, and to quantify their activities.
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3.
  • Wilkinson, Mark D., et al. (författare)
  • Comment : The FAIR Guiding Principles for scientific data management and stewardship
  • 2016
  • Ingår i: Scientific Data. - : Springer Science and Business Media LLC. - 2052-4463. ; 3
  • Tidskriftsartikel (refereegranskat)abstract
    • There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders-representing academia, industry, funding agencies, and scholarly publishers-have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community.
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