珊瑚礁生物信息学:研究珊瑚礁中的异构奥密克戎数据,深入了解珊瑚礁的健康和复原力。

IF 7 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY Annual Review of Biomedical Data Science Pub Date : 2022-05-10 DOI:10.1146/annurev-biodatasci-122120-030732
L. Cowen, H. Putnam
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引用次数: 3

摘要

珊瑚礁是200多万种物种的家园,为大约25%的海洋动物提供栖息地,但它们正受到污染和气候变化的严重威胁。从不同种类的造礁珊瑚、单细胞鞭毛藻和珊瑚微生物组(细菌、古细菌、病毒、真菌等)中获得的大量基因组学、转录组学和其他组学数据越来越多。这些新数据为生物信息学研究人员和计算生物学家提供了一个机会,可以对影响珊瑚礁健康和恢复力的关键因素进行及时、有说服力和紧急的调查。预计《生物医学数据科学年度评论》第5卷的最终在线出版日期为2022年8月。修订后的估计数请参阅http://www.annualreviews.org/page/journal/pubdates。
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Bioinformatics of Corals: Investigating Heterogeneous Omics Data from Coral Holobionts for Insight into Reef Health and Resilience.
Coral reefs are home to over two million species and provide habitat for roughly 25% of all marine animals, but they are being severely threatened by pollution and climate change. A large amount of genomic, transcriptomic, and other omics data is becoming increasingly available from different species of reef-building corals, the unicellular dinoflagellates, and the coral microbiome (bacteria, archaea, viruses, fungi, etc.). Such new data present an opportunity for bioinformatics researchers and computational biologists to contribute to a timely, compelling, and urgent investigation of critical factors that influence reef health and resilience. Expected final online publication date for the Annual Review of Biomedical Data Science, Volume 5 is August 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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来源期刊
CiteScore
11.10
自引率
1.70%
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0
期刊介绍: The Annual Review of Biomedical Data Science provides comprehensive expert reviews in biomedical data science, focusing on advanced methods to store, retrieve, analyze, and organize biomedical data and knowledge. The scope of the journal encompasses informatics, computational, artificial intelligence (AI), and statistical approaches to biomedical data, including the sub-fields of bioinformatics, computational biology, biomedical informatics, clinical and clinical research informatics, biostatistics, and imaging informatics. The mission of the journal is to identify both emerging and established areas of biomedical data science, and the leaders in these fields.
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