Fixed flagged typos in GeneLab_Reference_Annotations

Author: torres-alexis

GeneLab_Reference_Annotations/Pipeline_GL-DPPD-7110_Versions/GL-DPPD-7110/GL-DPPD-7110.md

@@ -217,7 +217,7 @@ string_db <- STRINGdb$new(version = "11.5", species = target_taxid, score_thresh
 string_map <- string_db$map(annot, primary_keytype, removeUnmappedRows = FALSE, takeFirst = FALSE)
 
 ## Create a table using the gene IDs of the primary keytype as row names and a column containing STRING IDs. ##
-## For genes containig multiple STRING IDs, combine all STRING IDs for each gene into one row and separate each ID with a '|' ##
+## For genes containing multiple STRING IDs, combine all STRING IDs for each gene into one row and separate each ID with a '|' ##
 tab_with_multiple_STRINGids_combined <-
     data.frame(row.names = annot[[primary_keytype]])
 
@@ -256,7 +256,7 @@ pthOrganisms(PANTHER.db) <- target_organism
 ## Use ENTREZ IDs to map genes to respective PANTHER GO slim annotation(s) ##
 # Note: Since there can be none (indicated in the annotation table as "NA"), one, or 
 # multiple ENTREZ IDs for a gene, this section contains 3 distinct parts to handle
-# each of those scenarios and create a new column in the annotation table containg the GO slim IDs
+# each of those scenarios and create a new column in the annotation table containing the GO slim IDs
 
 for ( curr_row in 1:dim(annot)[1] ) {
 

GeneLab_Reference_Annotations/Workflow_Documentation/GL_RefAnnotTable/README.md

@@ -71,7 +71,7 @@ Rscript GL-DPPD-7110_build-genome-annots-tab.R MOUSE
 
 **Input data:**
 
-- No input files required, but a target organism must be specified as a positional command line argument, `MOUSE` is used in the example above. Run `Rscript GL-DPPD-7110_build-genome-annots-tab.R` with no positional arugments to see the list of currently available organisms. 
+- No input files required, but a target organism must be specified as a positional command line argument, `MOUSE` is used in the example above. Run `Rscript GL-DPPD-7110_build-genome-annots-tab.R` with no positional arguments to see the list of currently available organisms. 
 
 **Output data:**
 

GeneLab_Reference_Annotations/Workflow_Documentation/GL_RefAnnotTable/workflow_code/GL-DPPD-7110_build-genome-annots-tab.R

@@ -263,7 +263,7 @@ string_map <- string_db$map(annot, primary_keytype, removeUnmappedRows = FALSE,
 ## Adding some blank lines just for spacing on print-out ##
 cat("\n\n")
 
-## Create a table using the gene IDs of the primary keytype as row names and a column containing STRING IDs. For genes containig multiple STRING IDs, combine all STRING IDs for each gene into one row and separate each ID with a '|' ##
+## Create a table using the gene IDs of the primary keytype as row names and a column containing STRING IDs. For genes containing multiple STRING IDs, combine all STRING IDs for each gene into one row and separate each ID with a '|' ##
 
 tab_with_multiple_STRINGids_combined <-
     data.frame(row.names = annot[[primary_keytype]])
@@ -303,7 +303,7 @@ pthOrganisms(PANTHER.db) <- target_organism
 
 ## Use ENTREZ IDs to map genes to respective PANTHER GO slim annotation(s) ##
 
-## Note: Since there can be none (indicated in the annotation table as "NA"), one, or multiple ENTREZ IDs for a gene, this section contains 3 distinct parts to handle each of those scenarios and create a new column in the annotation table containg the GO slim IDs ## 
+## Note: Since there can be none (indicated in the annotation table as "NA"), one, or multiple ENTREZ IDs for a gene, this section contains 3 distinct parts to handle each of those scenarios and create a new column in the annotation table containing the GO slim IDs ## 
 
 for ( curr_row in 1:dim(annot)[1] ) {