生态毒理学转录组学的 DIKW：从大数据中提取信息、知识和智慧。

IF 3.6 4区环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES

Environmental Toxicology and Chemistry Pub Date : 2024-08-12 DOI:10.1002/etc.5954

Jessica A Head, Jessica D Ewald, Niladri Basu

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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The DIKW of Transcriptomics in Ecotoxicology: Extracting Information, Knowledge, and Wisdom From Big Data.

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来源期刊

Environmental Toxicology and Chemistry 环境科学-毒理学

CiteScore

7.40

自引率

9.80%

发文量

265

审稿时长

3.4 months

期刊介绍： The Society of Environmental Toxicology and Chemistry (SETAC) publishes two journals: Environmental Toxicology and Chemistry (ET&C) and Integrated Environmental Assessment and Management (IEAM). Environmental Toxicology and Chemistry is dedicated to furthering scientific knowledge and disseminating information on environmental toxicology and chemistry, including the application of these sciences to risk assessment.[...] Environmental Toxicology and Chemistry is interdisciplinary in scope and integrates the fields of environmental toxicology; environmental, analytical, and molecular chemistry; ecology; physiology; biochemistry; microbiology; genetics; genomics; environmental engineering; chemical, environmental, and biological modeling; epidemiology; and earth sciences. ET&C seeks to publish papers describing original experimental or theoretical work that significantly advances understanding in the area of environmental toxicology, environmental chemistry and hazard/risk assessment. Emphasis is given to papers that enhance capabilities for the prediction, measurement, and assessment of the fate and effects of chemicals in the environment, rather than simply providing additional data. The scientific impact of papers is judged in terms of the breadth and depth of the findings and the expected influence on existing or future scientific practice. Methodological papers must make clear not only how the work differs from existing practice, but the significance of these differences to the field. Site-based research or monitoring must have regional or global implications beyond the particular site, such as evaluating processes, mechanisms, or theory under a natural environmental setting.