Merge pull request #631 from geneontology/suzialeksander-patch-324297

Update introduction-go-resource.md

_docs/introduction-go-resource.md

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 ### Mission Statement
 
-A core goal of biomedical research is to uncover how individual genes contribute to the biology of an organism, and their roles in health and disease. The mission of the Gene Ontology Consortium (GOC) is to provide a comprehensive and up-to-date computational model of the current scientific understanding of the functions of gene products, *i. e.* proteins, a non-coding RNAs, or a macromolecular complex, or *gene* for simplicity. GO encompasses all levels of biological systems, from molecular activities to complex cellular and organismal-level networks. GO provides uniform descriptors applicable to gene products across the entire tree of life. Today, GO is used to represent gene function in all sequenced organisms. 
+A core goal of biomedical research is to uncover how individual genes contribute to the biology of an organism, and their roles in health and disease. The mission of the Gene Ontology Consortium (GOC) is to provide a comprehensive and up-to-date computational model of the current scientific understanding of the functions of gene products, e.g. proteins, non-coding RNAs, macromolecular complexes, or *genes* for simplicity. GO encompasses all levels of biological systems, from molecular activities to complex cellular and organismal-level networks. GO provides uniform descriptors applicable to gene products across the entire tree of life. Today, GO is used to represent gene function in all sequenced organisms. 
 
 ### Background
 The GOC was established in 1998 when researchers studying the genome of three model organisms — *Drosophila melanogaster* (fruit fly), *Mus musculus* (mouse), and *Saccharomyces cerevisiae* (brewer's or baker's yeast) — began to work collaboratively on a common classification scheme for gene function to compare the newly sequenced genomes of these organisms. GO grew into a large data framework adapted for all living organisms, from bacteria to human. 
@@ -22,7 +22,7 @@ GO was the first of the [hundreds of biomedical ontologies](https://obofoundry.o
 
 ### The GO consists of:
 
-+ The **[GO ontology](/docs/ontology-documentation/)**: the logical structure describing the full complexity of the biology, comprising the 'classes' (often referred to as ‘terms’) describing the many different types of molecular functions (Molecular Function), the pathways carrying out different biological programs (Biological Process), and the cellular locations where these occur (Cellular Component). The GO is structured by relating each class to other classes using specific [relations](/docs/ontology-relations.md).
++ The **[GO ontology](/docs/ontology-documentation/)**: the logical structure describing the full complexity of the biology, comprising the 'classes' (often referred to as ‘terms’) describing the many different types of molecular functions (Molecular Function), the pathways carrying out different biological programs (Biological Process), and the cellular locations where these occur (Cellular Component). The GO is structured by relating each class to other classes using specific [relations](/docs/ontology-relations/).
 + The corpus of **[GO annotations](/docs/go-annotations/)**: the traceable (i. e., associated with scientific articles), [evidence-based](/docs/guide-go-evidence-codes/) statements relating a specific gene product to a specific ontology term. The set of all GO annotations associated with a gene provides a description of its biological role. As of October 2024, the GO includes experimental findings from over [180,000 published papers](https://www.ncbi.nlm.nih.gov/pubmed/?term=loprovGeneOntol[SB]){:target="blank"}, representing over 1,000,000 experimentally-supported annotations. 
 
 Together, the ontology and annotations provide a comprehensive model of biological systems.