Update README.md (Add lab info and update some formatting)

README.md

 Determining cellular heterogeneity in the human prostate with single-cell RNA sequencing
 ========================================================================================
-* Contact: Gervaise H. Henry
-* Email: gervaise.henry@utsouthwestern.edu
+* Contact: **Gervaise H. Henry**
+* Email: [gervaise.henry@utsouthwestern.edu](mailto:gervaise.henry@utsouthwestern.edu)
 * Institution: UT Southwestern Medical Center
 * Department: Urology
+* Lab: Strand Lab
+    * PI: Douglas W. Strand, PhD
+    * PI Email: [douglas.strand@utsouthwestern.edu](mailto:douglas.strand@utsouthwestern.edu)
 
 ## Data Analysis
-* Requirements:
-	* 10x CellRanger analyzed data:
-		* "filtered\_gene\_bc\_matrice_mex" folder
-		* csv file cellranger aggr used for aggregation
-		* demultiplex csv file to define subsets of samples
+* **Requirements**:
+    * 10x CellRanger analyzed data:
+    	* "filtered\_gene\_bc\_matrice_mex" folder
+    	* csv file cellranger aggr used for aggregation
+    	* demultiplex csv file to define subsets of samples
 
-* Pipeline (r.scripts):
+* **Pipeline** (r.scripts):
 	* sc_Demultiplex (import 10x Cell Ranger data into R and subset samples based on user input)
 	* sc_SeuratScore.CellCycle (identify cell cycle state)
 	* sc_QC (filter cells, scale and remove variation associated to: UMI; % mitochondrial genes; S; G2M phase score, identify most variable genes and run PCA on them
@@ -24,15 +27,15 @@ Determining cellular heterogeneity in the human prostate with single-cell RNA se
 	* sc_PC.Score.NE (PCA analysis of Neurocrine Epithelia protein marker signature, projecction to PC1 used as "NE Score", highest scoring cells identified as Neuroendocrine Cells)
 	* sc_QuSAGE.LGEA.Epi (Epithelial clusters correlated to top 20 DEGs from scRNA-seq of human lung Basal Cells, Alveolar Type 2 Cells, Club/Goblet Cells to determine similarity to lung epithelial cell types)
 	* sc_QuSAGE.LGEA.St (Stromal clusters correlated to human orthologs of mouse lung stromal DEGs from scRNA*seq to determine similarity to:)
-		* Proliferative Fibrobblasts
-		* Myofibroblast/Smooth Muscle-Like Cells
-		* Matrix Fibroblasts
-		* Endothelial Cells
-		* Myeloid/Immune Cells
+    	* Proliferative Fibrobblasts
+    	* Myofibroblast/Smooth Muscle-Like Cells
+    	* Matrix Fibroblasts
+    	* Endothelial Cells
+    	* Myeloid/Immune Cells
 	* sc_DEG (generate DEG lists between important cell types and predict surface and nuclear markers from them)
 	* sc_Table (produce tables of population differences between samples)
 
-* Genesets
+* **Genesets**:
 	* "regev\_lab\_cell\_cycle\_genes.txt" G2M and S phase genes from [*Genome Res. 2015 Dec; 25(12): 1860–1872*](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4665007/)
 	* "DEG\_C2.CGP.M10970.txt" MSigDB C2 Chemical and Genetic Perturbations M10970 [**CHUANG\_OXIDATIVE\_STRESS\_RESPONSE\_UP**](http://software.broadinstitute.org/gsea/msigdb/cards/CHUANG_OXIDATIVE_STRESS_RESPONSE_UP.html)
 	* "DEG\_Epi_2FC.txt" DWS generated DEGs of Epithelia from FACS population (bulk) RNA-sequencing
@@ -48,10 +51,10 @@ Determining cellular heterogeneity in the human prostate with single-cell RNA se
 	* "Normal AT2 cells-signature-genes.csv" scRNA-Sequecing Lung Map generated top 20 DEGs for human lung Alveolar Type 2 Cells
 	* "Club\_Goblet cells-signature-genes.csv" scRNA-Sequencing Lung Map generated top 20 DEGs for human lung Club/Goblet Cells
 	* "journal.pcbi.1004575.s026.XLSX" scRNA-Sequencing Lung Map generated DEGs for E16.5 mouse lung stromal subtypes (genes converted to human othologs with Ensembl):
-		* Proliferative Fibroblasts
-		* Myofibroblast/Smooth Muscle-like Cells
-		* Pericytes, Matrix Fibroblasts
-		* Endothelial Cells
-		* Myeloid/Immune Cells
+    	* Proliferative Fibroblasts
+    	* Myofibroblast/Smooth Muscle-like Cells
+    	* Pericytes, Matrix Fibroblasts
+    	* Endothelial Cells
+    	* Myeloid/Immune Cells
 	* "DWS.scStress.txt" DWS generated DEGs of Stressed Cells from scRNA-Sequencing
 	* "DWS.scNE.txt" DWS generated DEGs of Neuroendocrine Cells from scRNA-Sequencing