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An informatics research platform to make public gene expression time-course datasets reusable for more scientific discoveries
The exponential growth of genomic/genetic data in the era of Big Data demands new solutions for making these data findable, accessible, interoperable and reusable. In this article, we present a web-based platform named Gene Expression Time-Course Research (GETc) Platform that enables the discovery a...
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| 出版年: | Database (Oxford) |
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| 主要な著者: | , , , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
© Published by Oxford University Press
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7698665/ https://ncbi.nlm.nih.gov/pubmed/33247935 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/database/baaa074 |
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