首页> 外文期刊>Nucleic acids research >FatiGO +: a functional profiling tool for genomic data. Integration of functional annotation, regulatory motifs and interaction data with microarray experiments
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FatiGO +: a functional profiling tool for genomic data. Integration of functional annotation, regulatory motifs and interaction data with microarray experiments

机译:FatiGO +:用于基因组数据的功能分析工具。功能注释,调控基元和相互作用数据与微阵列实验的整合

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The ultimate goal of any genome-scale experiment is to provide a functional interpretation of the data, relating the available information with the hypotheses that originated the experiment. Thus, functional profiling methods have become essential in diverse scenarios such as microarray experiments, proteomics, etc. We present the FatiGO+, a web-based tool for the functional profiling of genome-scale experiments, specially oriented to the interpretation of microarray experiments. In addition to different functional annotations (gene ontology, KEGG pathways, Interpro motifs, Swissprot keywords and text-mining based bioentities related to diseases and chemical compounds) FatiGO+ includes, as a novelty, regulatory and structural information. The regulatory information used includes predictions of targets for distinct regulatory elements (obtained from the Transfac and CisRed databases). Additionally FatiGO+ uses predictions of target motifs of miRNA to infer which of these can be activated or deactivated in the sample of genes studied. Finally, properties of gene products related to their relative location and connections in the interactome have also been used. Also, enrichment of any of these functional terms can be directly analysed on chromosomal coordinates. FatiGO+ can be found at: http://www.fatigoplus.org and within the Babelomics environment http://www.babelomics.org
机译:任何基因组规模实验的最终目标是提供数据的功能解释,将可用信息与起源于实验的假设联系起来。因此,功能分析方法已在诸如微阵列实验,蛋白质组学等多种情况下变得至关重要。我们介绍了FatiGO +,这是一种基于Web的工具,用于基因组规模实验的功能分析,特别针对微阵列实验的解释。除了不同的功能注释(基因本体,KEGG途径,Interpro主题,Swissprot关键字以及与疾病和化合物有关的基于文本挖掘的生物实体)之外,FatiGO +还包括新颖性,调节性和结构性信息。所使用的监管信息包括针对不同监管要素的目标预测(从Transfac和CisRed数据库获得)。另外,FatiGO +还利用miRNA靶标的预测来推断在研究的基因样本中哪些可以被激活或失活。最后,还使用了与它们在相互作用组中的相对位置和连接有关的基因产物的性质。同样,可以在染色体坐标上直接分析任何这些功能项的富集。可在以下网站找到FatiGO +:http://www.fatigoplus.org,在Babelomics环境中也可以找到http://www.babelomics.org。

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