[AnnotDB] [Genetools] [NTNU] [NMC]
Available tools:
· NMC Annotation Tool
· eGOn
Main menu
· Home
· Database status

· Forum
· Contact us
· Reporter lists (batch search)
· Login
· New user
  

GeneTools - a collection of resources for functional annotations


GENETOOLS is a collection of web-based tools on top of a database that brings together information from a broad range of resources, and provides this in a manner particularly useful for genome-wide analyses. Today, the two main tools connected to this database are the NMC Annotation Tool and eGOn V2.0 (explore Gene Ontology). More tools will be added in the future.
 
Citing GeneTools:
Beisvag et al.: "GeneTools - application for functional annotation and statistical hypothesis testing" (BMC Bioinformatics 2006, 7:470)
 
The NMC Annotation Tool provides information from UniGene (NCBI), EntrezGene, SwissProt and Gene Ontology (GO). The underlying database is updated weekly and contains the most recent and accurate information available for most model organisms.
 
The 6 major features are:
  • Single search: extraction of data for one gene or protein.
  • Batch search: extraction of data for batches of genes or proteins.
  • Both single and batch mode allow for search with a large variety of reporter IDs including UniGene Cluster IDs, GeneBank accession numbers, Entrez Gene IDs, Affymetrix IDs, Arabidopsis IDs, symbols and names.
  • Manage reporter lists: in folders and share selected lists with other users. When new information is available the user is noticed and the lists can be updated.
  • Manual GO Annotation: our GO Annotator Tool allows users to add their own Gene Ontology (GO) annotations to their genes of interest.
  • Export: selected information can be exported in excel, text or XML format.
 
 
eGOn V2.0 facilitates interpretation of GO annotation. GO terms are retrieved in batch modus from EntrezGene and the GO database and displayed in the GO di-acyclic hierarchical graph (DAG).
 
Essential features of eGOn V2.0 are:
  • Visualization: gene annotations are visualized in the GO DAG or as a table view. The granularity of the GO DAG can be edited freely by the user.
  • Filtering: GO annotations can be filtered on evidence codes.
  • Include user defined GO annotations: previously added to the Annotation database.
  • Statistical analysis: Several gene lists are analyzed simultaneously to compare the distribution of the annotated genes over the GO hierarchy. Statistical tests are implemented to allow the user to compute GO annotation dissimilarity within or between gene lists.
  • Connection to Annotation database: Links to Annotation database gene and protein information are offered directly from the GO DAG or in exported data.
  • Export: GO DAG information, statistical results and gene and protein information can be exported in excel, text or XML format.


nova3