more typo fixes

Author: jcrozum

README.md

@@ -76,7 +76,7 @@ The files above correspond to a specific ptm type (e.g., LYS acetylation). Multi
 ## Outputs:
 `ProteoMeter` generates `pandas` DataFrame objects. In our demonstration, we have saved these outputs to CSV files, each of which corresponds to a data frame generated by the `ProteoMeter` `lip_analysis` or `ptm_analysis` functions.
 * lip_processed_pept.csv: LiP double-digested (ProK + Trypsin) peptide-level data. This includes fold-changes for all peptides, tryptic or otherwise (tryptic peptides are indicated by the pept_type column.)
-* lip_processed_prot.csv: Global abundance information used for abundance correction of peptide changes. This includes abundance quantification, fold-changes and statistical signficance.
-* lip_processed_site.csv: Digestion cut site quantification, fold-changes and statistical signficance. 
-* ptm_processed_site.csv: PTM site quantification, fold-changes and statistical signficance.
+* lip_processed_prot.csv: Global abundance information used for abundance correction of peptide changes. This includes abundance quantification, fold-changes and statistical significance.
+* lip_processed_site.csv: Digestion cut site quantification, fold-changes and statistical significance. 
+* ptm_processed_site.csv: PTM site quantification, fold-changes and statistical significance.
 * ptm_processed_prot.csv: Global abundance information used for abundance correction of PTM changes. This includes abundance quantification, fold-changes and statistical significance.