feat: dau sample updatet

Author: mkirk111

content/3.genomics-platform/2.about-our-data/1.data-sets-and-data-access-units.md

@@ -179,7 +179,7 @@ The findings of this project were published in [Nature Communications](https://p
 
 ### Genome 4 Kids
 
-**DAU**: Clinical Genomics | **Tissue Type**: Paired Tumor-Normal | **Sequencing Type**: WGS, WES, RNA-Seq | **Samples**: 571 | **[Additional Information About Clinical Genomics](https://www.stjude.cloud/studies/clinical-genomics)**
+**DAU**: Clinical Genomics | **Tissue Type**: Paired Tumor-Normal | **Sequencing Type**: WGS, WES, RNA-Seq | **Samples**: 565 | **[Additional Information About Clinical Genomics](https://www.stjude.cloud/studies/clinical-genomics)**
 
 The goal of the Genomes 4 Kids (G4K) prospective study was to determine whether the three-platform sequencing protocol laid out in the Clinical Pilot project could generate results on a clinical timeline in practice and to evaluate the prevalence of actionable findings.
 The study concluded with just over 300 patients, and the publication is currently in review.
@@ -207,7 +207,7 @@ The dataset is a mixture of paired tumor-normal samples or normal-only samples.
 
 ### Real-time Clinical Genomics
 
-**DAU**: Clinical Genomics | **Tissue Type**: Paired Tumor-Normal | **Sequencing Type**: WGS, WES, RNA-Seq | **Samples**: 2,371 | **[Additional Information About Clinical Genomics](https://www.stjude.cloud/studies/clinical-genomics)**
+**DAU**: Clinical Genomics | **Tissue Type**: Paired Tumor-Normal | **Sequencing Type**: WGS, WES, RNA-Seq | **Samples**: 6694 | **[Additional Information About Clinical Genomics](https://www.stjude.cloud/studies/clinical-genomics)**
 
 Real-time Clinical Genomics (RTCG) is a [first of its kind initiative](https://www.stjude.org/media-resources/news-releases/2019-medicine-science-news/st-jude-cloud-to-provide-access-to-real-time-clinical-genome-sequencing-data.html), whereby St. Jude began releasing data from the clinical NGS service consented for research use to St. Jude Cloud in monthly batches to give researchers access to valuable data as quickly as possible.