DaGO-Fun - Database for GO-based Functional Annotation Analysis
GOSP-FuCT: GO based Similarity Protein-Fuzzy Classification Tool

This tool allows the partitioning of a gene or protein set into a set of biological meaningful sub-classes using their functional closeness based on GO annotations and derived from a selected semantic similarity model. This helps understand the structure and elucidate meaningful patterns in gene or protein dataset from a given biological experiments in order to improve their biological interpretation. As many classes of diseases with similar phenotypes are caused by functionally related genes, identifying gene or protein clusters based on the knowledge about their functional annotations is likely to provide an effective approach for analyzing complex biological phenomena.

Uploading Input and Parameters
Gene List: Paste the gene list:

or upload from a file

Setting Parameters:
     Clustered with:     
Semantic Family
Semantic Model

  • Step 1 Gene List allows you to provide a specific list of related genes or proteins of interest to partition into classes or clusters based on their GO annotations, in which case, each class can be treated collectively as a group in the analysis being conducted.
  • Step 2 Setting Parameters where you have to specify the nature of your data and the semantic similarity approach to use in your analysis, and to provide the agreement level and ontology. Furthermore, you need to provide the classification approach to use among the three implemented here and the number of clusters when using graph spectral approach.
  • Please, build your model Step-by-Step from Query --to-- Input. Go to help or tool description for more details.