Merge pull request #632 from geneontology/suzialeksander-patch-97693

Update introduction-go-resource.md

_docs/introduction-go-resource.md

@@ -23,18 +23,19 @@ 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/).
-+ 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. 
++ 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://geneontology.org/stats.html), representing over 1,000,000 experimentally-supported annotations. 
 
 Together, the ontology and annotations provide a comprehensive model of biological systems.
 
 <!--- if we keep, we must add links--->
 In addition to this core knowledgebase, GO resources also include software to edit and perform logical reasoning over the ontologies, web access to the ontology and annotations, and analytical tools that use GO to support biomedical research.
 
 ### Uses of the GO and annotations
-The GO knowledgebase plays an essential role in supporting biomedical research and has been cited in [tens of thousands of scientific studies](/docs/literature/). The most common use of GO annotations is for interpretation of large-scale molecular biology experiments, to gain insight into the structure, function, and dynamics of an organism. ["Gene Ontology enrichment analysis"](/docs/go-enrichment-analysis) is used to discover statistically significant similarities or differences under alternate controlled experimental conditions.
+The GO knowledgebase plays an essential role in supporting biomedical research and has been cited in [tens of thousands of scientific studies](/docs/literature/). The most common use of GO annotations is for interpretation of large-scale molecular biology experiments, to gain insight into the structure, function, and dynamics of an organism. [**Gene Ontology enrichment analysis**](/docs/go-enrichment-analysis) is used to discover statistically significant similarities or differences under alternate controlled experimental conditions.
 
 ### The GO and the Alliance of Genome Resources
-In 2016, the GO knowledgebase partnered with model organism databases (MODs) to form the [Alliance of Genome Resources](https://www.alliancegenome.org){:target="blank"} (the Alliance). The mission of the Alliance is to develop and maintain sustainable genome information resources that facilitate the use of diverse model organisms in understanding the genetic and genomic basis of human biology, health and disease. The partner MODs are: [Flybase](https://flybase.org/){:target="blank"}, [Mouse Genome Database (MGI)](http://www.informatics.jax.org/){:target="blank"}, [Rat Genome Database (RGD)](https://rgd.mcw.edu/){:target="blank"}, [*Saccharomyces* Genome Database(SGD)](https://www.yeastgenome.org/){:target="blank"}, [WormBase](https://wormbase.org){:target="blank"}, [Xenbase](https://www.xenbase.org/entry/){:target="blank"}, and [Zebrafish Information Network(ZFIN)](https://zfin.org/){:target="blank"}.
+| --- | --- |
+| <img src="/assets/alliance_logo_agr.583b15d.jpeg" alt="Alliance of Genome Resources, www.alliancegenome.org" width="200" div style="border: 2px solid black;"/>(https://www.alliancegenome.org/){:target="blank"} | In 2016, the GO knowledgebase partnered with model organism databases (MODs) to form the [Alliance of Genome Resources](https://www.alliancegenome.org){:target="blank"} (the Alliance). The mission of the Alliance is to develop and maintain sustainable genome information resources that facilitate the use of diverse model organisms in understanding the genetic and genomic basis of human biology, health and disease. The partner MODs are: [Flybase](https://flybase.org/){:target="blank"}, [Mouse Genome Database (MGI)](http://www.informatics.jax.org/){:target="blank"}, [Rat Genome Database (RGD)](https://rgd.mcw.edu/){:target="blank"}, [*Saccharomyces* Genome Database(SGD)](https://www.yeastgenome.org/){:target="blank"}, [WormBase](https://wormbase.org){:target="blank"}, [Xenbase](https://www.xenbase.org/entry/){:target="blank"}, and [Zebrafish Information Network(ZFIN)](https://zfin.org/){:target="blank"}. |
 
 ### The GO and the Global Biodata Coalition 
 The [Global Biodata Coalition (GBC)](https://globalbiodata.org){:target="blank"}, founded in 2019, is a forum working to ensure the efficient management and growth of biodata infrastructure by coordinating funding at the global level. GO has been a Global Core Biodata Resources (GCBRs) since the first set was selected in December 2022. Among other criteria, GCBRs selection is based on the status of the resource as authoritative databases or knowledgebases that are used extensively, have a proven longevity, and provide free and open access to their high quality data. For more information and to view the full list of GCBRs, visit the [GBC Global Core Biodata Resource page](https://globalbiodata.org/scientific-activities/global-core-biodata-resources/){:target="blank"}
@@ -47,3 +48,4 @@ For further guidance and reading, please see the following publications:
 
 * [Ten Quick Tips for Using the Gene Ontology](http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1003343){:target="blank"}
 * [Gene Ontology Handbook](https://link.springer.com/book/10.1007%2F978-1-4939-3743-1){:target="blank"}
+* [Over 150,000 papers in PubMed tagged as GO-related](https://www.ncbi.nlm.nih.gov/pubmed/?term=loprovGeneOntol[SB]){:target="blank"}