Difference between revisions of "Annotation QC"

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* Original data ia old and difficult to find
 
* Original data ia old and difficult to find
 
* Original data is from non-RG organisms  
 
* Original data is from non-RG organisms  
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* We propose that IEA annotations would count with respect to 'completeness' of annotation (right?)
  
  

Revision as of 07:38, 22 January 2008

The purpose of this page is to find methods to check the quality of the GO annotations. There are four types of errors that we would like to find easily:

  1. Omission of annotations
  2. Problems in the ontology
  3. Varying granularity of annotations
  4. Incorrect annotations


Omission of annotations

A gene has no annotations in one of the three ontologies while other organisms do (see Reference_Genome_Database_Reports); this also includes having ISS annotations without an entry in the 'with' column. Possible causes:

  • No experimental evidence in the organism: Should try using ISS. We need to find ways for the ISS annotations that can safely be transfered easier to find.
  • Original data ia old and difficult to find
  • Original data is from non-RG organisms
  • We propose that IEA annotations would count with respect to 'completeness' of annotation (right?)


Problems in the ontology

When annotations in different organisms are very different, it may reflect problems in the ontology which makes certain terms unusable when curating genes from certain organisms; or it may be due to a complicated branch of the graph that curators have difficulty selecting from.

Varying granularity of annotations

Possible causes:

  • New (more granular) term was created since the annotation was made.

How to address this: Should we warn curator when a more granular term is created an their database have annotations to the parent term?

  • Curator feels they do not have the expertise to annotate a gene.

How to address this: Better communication: SF annotation tracker, email, wiki

Incorrect annotations

Errors during annotation. How to address this: See graphs; also queries Reference_Genome_Database_Reports, in particular "non-IEA outliers"


Return to [Reference_Genome_Annotation_Project]