Inferred from High Throughput Expression Pattern (HEP): Difference between revisions
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== General guidance for HEP usage == | == 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: | 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? | *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.) | *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.) | ||
Revision as of 05:51, 10 October 2018
HEP: Inferred from High Throughput Expression Pattern
Overview
- The HEP evidence code is used to indicate a the expression profile (timing or location) of a gene is to infer the process (indicated by the GO term) that it participates in.
- The HDA evidence code is equivalent to the IEP code and the general guidelines for annotating IEP code should be adhered to.
- Notes on what qualifies as high throughout data and general annotation guidance for high throughout experiments can be found on the HTP evidence code page.
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