不断增长的组学数据提出了令人生畏的信息学挑战。DrBioRight是一个面向自然语言和人工智能驱动的分析平台,使广泛的研究社区能够以直观,高效,透明和协作的方式进行分析。新兴的下一代分析将最大限度地提高组学数据的效用,并为生物医学研究带来新的范式。
该网站为120多种癌症和相关遗传综合征提供个性化指南。每个指南都包含了经过肿瘤学家审查的全面信息,包括简介、医学插图、风险因素、预防、症状与体征、诊断、进展、治疗方法、临床试验、最新研究、应对治疗、随访护理等
该数据库从miRTarBase v8.0、TarBase v8.0和miRecords相关的注释信息。miRanda通过默认参数预测S.mansoni和S.scrofa的数据;miRNA与分子相互作用源自SM2miR和PharmacomiR;miRNA与疾病相互作用源自HMDD 3.2、miR2Disease和PhenomiR 2.0;miRNA与表观遗传修饰子相互作用源自EpimiR;miRNA与ncRNA相互作用源自tarBase v2.0;miRNA与TF相互作用源自TransmiR v2.0;miRNA、miRNA结合位点及TF结合位点变体注释信息源自ADmiRE、PolymiRTS v3.0和SNP2TFBS;组织特异性miRNA信息源自TSmiR和IMOTA;外泌体miRNA源自ExoCarta;miRNA文库源自TAM 2.0(功能、疾病、转录因子、簇)。
Rob Knight,加州大学圣地亚哥分校微生物组创新中心主任,地球微生物组计划(EMP)、美国肠道计划的发起人之一。代表作QIIME
An inclusive movement to build an open, organized, online ecosystem for machine learning. It was built open-source tools to discover (and share) open data from any domain, easily draw them into your favorite machine learning environments, quickly build models alongside (and together with) thousands of other data scientists, analyze your results against the state of the art, and even get automatic advice on how to build better models. Stand on the shoulders of giants and make the world a better place.
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