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拟南芥研究人员的下一代培训:生物信息学和定量生物学。

The Next Generation of Training for Arabidopsis Researchers: Bioinformatics and Quantitative Biology.

机构信息

Agricultural Sustainability Institute and Department of Neurobiology, Physiology, and Behavior, University of California, Davis, California 95616.

Biology Department, Penn State University, University Park, Pennsylvania 16802.

出版信息

Plant Physiol. 2017 Dec;175(4):1499-1509. doi: 10.1104/pp.17.01490.

DOI:10.1104/pp.17.01490
PMID:29208732
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5717721/
Abstract

Training for experimental plant biologists needs to combine bioinformatics, quantitative approaches, computational biology, and training in the art of collaboration, best achieved through fully integrated curriculum development.

摘要

实验植物生物学家的培训需要将生物信息学、定量方法、计算生物学和合作艺术的培训结合起来,最好通过完全集成的课程开发来实现。

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Proc Natl Acad Sci U S A. 2017 Sep 12;114(37):9854-9858. doi: 10.1073/pnas.1705783114. Epub 2017 Aug 28.
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Dynamic Environmental Photosynthetic Imaging Reveals Emergent Phenotypes.动态环境光合成像揭示新兴表型。
Cell Syst. 2016 Jun 22;2(6):365-77. doi: 10.1016/j.cels.2016.06.001.
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The CourseSource Bioinformatics Learning Framework.CourseSource生物信息学学习框架。
CBE Life Sci Educ. 2016 Spring;15(1):le2. doi: 10.1187/cbe.15-10-0217.
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Dedicated Industrial Oilseed Crops as Metabolic Engineering Platforms for Sustainable Industrial Feedstock Production.专用工业油籽作物作为可持续工业原料生产的代谢工程平台
Sci Rep. 2016 Feb 26;6:22181. doi: 10.1038/srep22181.
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Digital imaging of root traits (DIRT): a high-throughput computing and collaboration platform for field-based root phenomics.根系性状的数字成像(DIRT):一个用于田间根系表型组学的高通量计算与协作平台。
Plant Methods. 2015 Nov 2;11:51. doi: 10.1186/s13007-015-0093-3. eCollection 2015.
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50 years of Arabidopsis research: highlights and future directions.拟南芥研究50年:亮点与未来方向。
New Phytol. 2016 Feb;209(3):921-44. doi: 10.1111/nph.13687. Epub 2015 Oct 14.
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