Obtaining relevant raw data as the first step in multifactor dynamic computational analyses is becoming increasingly difficult as the pool of known protein biomarkers, single-nucleotide polymorphisms, and other molecular analytes grows. Data can also be spread over multiple files of various types—and even multiple locations across a network—further complicating this process. Data search and aggregation becomes tedious, inefficient, and vulnerable to error. Using structured query language (SQL) could expedite the process, but its use would necessitate importing and collating data into one database, as well as having adequate knowledge of SQL. Thus, there is a need for a comprehensive, flexible, and easy-to-understand tool to wrangle an ever-growing and dispersed body of diverse data.