Inferred from High Throughput Expression Pattern (HEP): Difference between revisions

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Last reviewed: February 26, 2018
Last reviewed: February 26, 2018


[[Category: Annotation]]
[[Category: Evidence Codes]]
[[Category: Evidence Codes]]

Latest revision as of 11:37, 13 April 2019

HEP: Inferred from High Throughput Expression Pattern

Overview

General guidance for HEP usage

HTP analysis based on the variation of RNA or protein levels may not be suitable for GO annotation as it is often not possible to distinguish whether the variation is directly linked to the process or a downstream event. Such studies usually generate a large list of genes/proteins and therefore the potential to generate a large number of erroneous annotations. For annotation with a HEP code curators should address these specific questions:

  • Can the expression be directly correlated with a process? It may be difficult to determine whether the expression pattern really indicates that a gene plays a role in a given process, so the HEP evidence code is usually used in conjunction with high level GO terms in the Biological Process ontology.
  • Is there additional evidence or hypothesis to support the annotation? (Such evidence may include mutant phenotypes, molecular identity (e.g. gene product is a member of a family of proteins with known functions such as odorant receptors expressed in olfactory neurons.)

Guidance for proteomics and fluorescence localization studies can be found on the HDA page

Evidence and Conclusion Ontology

ECO:0007007 high throughput expression pattern evidence used in manual assertion

Links

Curator Guide to GO Evidence Codes

Gene Ontology website GO Evidence Codes list

Review Status

Last reviewed: February 26, 2018