论文标题
Lyra-用于浏览共享生物医学数据的集装微服务
Lyra -- containerized microservices for browsing shared biomedical data
论文作者
论文摘要
生物医学领域的研究论文包含大型且复杂的数据集，这些数据集与科学界通过公共数据存储库作为非结构化数据文件共享。示例是测序，微阵列和质谱数据。这些论文仅讨论和可视化数据的一小部分，这是其研究重点的部分。对于具有相似但不相同研究兴趣的实验室，数据的不同部分可能很重要。因此，他们可以下载完整的数据，预处理，将其与其他出版物的数据集成在一起，并浏览他们最感兴趣的那些部分。这需要大量工作以及编程和分析专业知识，而船上只有少数生物实验室。相比之下，通过Web浏览器提供对已发布数据的访问使所有数据可见，可以轻松与之互动，并降低了与其他数据合作的障碍。
Research papers in the biomedical field come with large and complex data sets that are shared with the scientific community as unstructured data files via public data repositories. Examples are sequencing, microarray, and mass spectroscopy data. The papers discuss and visualize only a small part of the data, the part that is in its research focus. For labs with similar but not identical research interests different parts of the data might be important. They can thus download the full data, preprocess it, integrate it with data from other publications and browse those parts that they are most interested in. This requires substantial work as well as programming and analysis expertise that only few biological labs have on board. In contrast, providing access to published data over web browsers makes all data visible, allows for easy interaction with it, and lowers the barrier to working with data from others.
