Guide to GO Evidence Codes

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  • These guidelines are a guide to standard usage of the GO evidence codes.
  • Annotators may also find the evidence code decision tree useful in selecting the correct evidence code for an annotation.

Introduction

A GO annotation consists of a GO term associated with a specific reference that describes the work or analysis upon which the association between a specific GO term and gene product is based. Each annotation must also include an evidence code to indicate how the annotation to a particular term is supported. Although evidence codes do reflect the type of work or analysis described in the cited reference which supports the GO term to gene product association, they are not necessarily a classification of types of experiments/analyses. Note that these evidence codes are intended for use in conjunction with GO terms, and should not be considered in isolation from the terms. If a reference describes multiple methods that each provide evidence to make a GO annotation to a particular term, then multiple annotations with identical GO identifiers and reference identifiers but different evidence codes may be made.

Evidence codes are not statements of the quality of the annotation. Within each evidence code classification, some methods produce annotations of higher confidence or greater specificity than other methods, in addition the way in which a technique has been applied or interpreted in a paper will also affect the quality of the resulting annotation. Thus evidence codes cannot be used as a measure of the quality of the annotation.

Evidence codes fall into eight general categories as described below.

Experimental Evidence Codes

Use of an experimental evidence code in a GO annotation indicates that the cited paper displayed results from a physical characterization of a gene or gene product that has supported the association of a GO term. The Experimental Evidence Codes are:

High Throughput Experimental Evidence Codes

High throughput (HTP) evidence codes may be used to make annotations based upon high throughput methodologies. Use of HTP evidence codes should be carefully considered and follow the GOC's guidelines for their use. The High Throughput Experimental Evidence Codes are:

Similarity Evidence Codes

Use of the similarity evidence codes indicates that the annotation is based on an in silico analysis of the gene sequence described in the cited reference. The evidence codes in this category also indicate a varying degree of curatorial input. The Similarity Evidence Codes are:

Combinatorial Evidence Codes

Author Statements

Author statement codes indicate that the annotation was made on the basis of a statement made by the author(s) in the reference cited. The Author Statement Evidence Codes used by GO are:

Curator Inference

Use of the curatorial statement evidence codes indicates an annotation made on the basis of a curatorial judgement that does not fit into one of the other evidence code classifications. The Curatorial Statement Evidence Codes are:

No Biological Data

Automatic Assertion

GO also used one evidence code that is assigned by automated methods, without curatorial judgement. The Automatically-Assigned Evidence Code is:

Evidence codes Decision tree

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