Keyword: missense DSLP Strand: 9-10.C.3.3c Consider both context and the characteristics/source of a dataset to determine how "messy" a dataset may be due to measurement error. e.g., faulty sensors, inaccurate or inappropriate measurements
Uses 30 real variants from the BRCA Exchange to have students classify mutations by type (silent, missense, nonsense, frameshift, splice site), connect each to its protein...