NetAffx Gene Ontology Mining Tool: a visual approach for microarray data analysis.
نویسندگان
چکیده
SUMMARY The NetAffx Gene Ontology (GO) Mining Tool is a web-based, interactive tool that permits traversal of the GO graph in the context of microarray data. It accepts a list of Affymetrix probe sets and renders a GO graph as a heat map colored according to significance measurements. The rendered graph is interactive, with nodes linked to public web sites and to lists of the relevant probe sets. The GO Mining Tool provides visualization combining biological annotation with expression data, encompassing thousands of genes in one interactive view. AVAILABILITY GO Mining Tool is freely available at http://www.affymetrix.com/analysis/query/go_analysis.affx
منابع مشابه
NetAffx: Affymetrix probesets and annotations
NetAffx (http://www.affymetrix.com) details and annotates probesets on Affymetrix GeneChip microarrays. These annotations include (i) static information specific to the probeset composition; (ii) sequence annotations extracted from public databases; and (iii) protein sequence-level annotations derived from public domain programs, as well as libraries of hidden Markov models (HMMs) developed at ...
متن کاملChipInfo: software for extracting gene annotation and gene ontology information for microarray analysis
To date, assembling comprehensive annotation information for all probe sets of any Affymetrix microarrays remains a time-consuming, error-prone and challenging task. ChipInfo is designed for retrieving annotation information from online databases such as NetAffx and Gene Ontology and organizing such information into easily interpretable tabular format outputs. As companion software to dChip and...
متن کاملGExMap: An Intuitive Visual Tool to Detect and Analyze Genomic Distribution in Microarray-generated Lists of Differentially Expressed Genes
Highthroughput technologies, as DNA microarrays, generate a huge amount of data, which are difficult to interpret. Biologists require easy-to-use tools to analyze them and explore new scientific hypotheses. We propose a visual data mining tool to extract a new type of useful genomic information buried in gene lists generated by differential expression studies. We compare the genomic distributio...
متن کاملMicroarray Data Mining Using Gene Ontology
DNA microarray technology allows scientists to study the expression of thousands of genes--potentially entire genomes--simultaneously. However the large number of genes, variety of statistical methods employed and the complexity of biologic systems complicate analysis of microarray results. We have developed a web based environment that simplifies the presentation of microarray results by combi...
متن کاملGEPAS: a web-based resource for microarray gene expression data analysis
We present a web-based pipeline for microarray gene expression profile analysis, GEPAS, which stands for Gene Expression Profile Analysis Suite (http://gepas.bioinfo.cnio.es). GEPAS is composed of different interconnected modules which include tools for data pre-processing, two-conditions comparison, unsupervised and supervised clustering (which include some of the most popular methods as well ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Bioinformatics
دوره 20 9 شماره
صفحات -
تاریخ انتشار 2004