用于开源生物图像分析的KNIME：教程

KNIME for Open-Source Bioimage Analysis: A Tutorial.

作者信息

Dietz Christian, Berthold Michael R

机构信息

Bioinformatics and Information Mining, University of Konstanz, Universitaetsstrasse 10, 78464, Konstanz, Germany.

出版信息

Adv Anat Embryol Cell Biol. 2016;219:179-97. doi: 10.1007/978-3-319-28549-8_7.

DOI:10.1007/978-3-319-28549-8_7

PMID:27207367

Abstract

The open analytics platform KNIME is a modular environment that enables easy visual assembly and interactive execution of workflows. KNIME is already widely used in various areas of research, for instance in cheminformatics or classical data analysis. In this tutorial the KNIME Image Processing Extension is introduced, which adds the capabilities to process and analyse huge amounts of images. In combination with other KNIME extensions, KNIME Image Processing opens up new possibilities for inter-domain analysis of image data in an understandable and reproducible way.

摘要

开源分析平台KNIME是一个模块化环境，可实现工作流的轻松可视化组装和交互式执行。KNIME已经在各个研究领域广泛使用，例如在化学信息学或经典数据分析中。本教程将介绍KNIME图像处理扩展，它增加了处理和分析大量图像的功能。与其他KNIME扩展相结合，KNIME图像处理以一种可理解和可重复的方式为图像数据的跨领域分析开辟了新的可能性。