Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1011-EGID, 59000, Lille, France.
Sci Rep. 2020 Nov 16;10(1):19835. doi: 10.1038/s41598-020-76769-w.
Transcriptomic analyses are broadly used in biomedical research calling for tools allowing biologists to be directly involved in data mining and interpretation. We present here GIANT, a Galaxy-based tool for Interactive ANalysis of Transcriptomic data, which consists of biologist-friendly tools dedicated to analyses of transcriptomic data from microarray or RNA-seq analyses. GIANT is organized into modules allowing researchers to tailor their analyses by choosing the specific set of tool(s) to analyse any type of preprocessed transcriptomic data. It also includes a series of tools dedicated to the handling of raw Affymetrix microarray data. GIANT brings easy-to-use solutions to biologists for transcriptomic data mining and interpretation.
转录组分析在生物医学研究中得到了广泛应用,这就需要一些工具来允许生物学家直接参与数据挖掘和解释。我们在这里介绍 GIANT,这是一个基于 Galaxy 的转录组数据分析交互式分析工具,它包含了一些专门针对微阵列或 RNA-seq 分析的转录组数据分析的生物学家友好型工具。GIANT 被组织成多个模块,允许研究人员通过选择特定的工具集来分析任何类型的预处理转录组数据,从而定制他们的分析。它还包括一系列专门用于处理原始 Affymetrix 微阵列数据的工具。GIANT 为生物学家提供了易于使用的解决方案,用于转录组数据挖掘和解释。