Suppr超能文献

FatiGO +:一种用于基因组数据的功能分析工具。功能注释、调控基序和相互作用数据与微阵列实验的整合。

FatiGO +: a functional profiling tool for genomic data. Integration of functional annotation, regulatory motifs and interaction data with microarray experiments.

作者信息

Al-Shahrour Fátima, Minguez Pablo, Tárraga Joaquín, Medina Ignacio, Alloza Eva, Montaner David, Dopazo Joaquín

机构信息

Bioinformatics Department, Centro de Investigación Príncipe Felipe (CIPF), Valencia 46013, Spain.

出版信息

Nucleic Acids Res. 2007 Jul;35(Web Server issue):W91-6. doi: 10.1093/nar/gkm260. Epub 2007 May 3.

Abstract

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.

摘要

任何基因组规模实验的最终目标都是对数据进行功能解读,将现有信息与引发该实验的假设联系起来。因此,功能谱分析方法在诸如微阵列实验、蛋白质组学等各种情形中变得至关重要。我们展示了FatiGO+,这是一个基于网络的用于基因组规模实验功能谱分析的工具,特别针对微阵列实验的解读。除了不同的功能注释(基因本体、KEGG通路、Interpro基序、Swissprot关键词以及基于文本挖掘的与疾病和化合物相关的生物实体)之外,FatiGO+还新颖地纳入了调控和结构信息。所使用的调控信息包括对不同调控元件靶点的预测(从Transfac和CisRed数据库获得)。此外,FatiGO+利用miRNA靶基序的预测来推断在研究的基因样本中哪些可能被激活或失活。最后,还使用了基因产物与其在相互作用组中的相对位置和连接相关的特性。而且,这些功能术语中的任何一个的富集情况都可以直接在染色体坐标上进行分析。FatiGO+可在以下网址找到:http://www.fatigoplus.org 以及在Babelomics环境中http://www.babelomics.org

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd53/1933151/ba33b14db38e/gkm260f1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验