Principles and best practices in analyzing genomics data. Genome architecture, mappability, repeat elements, ChIP-seq, open chromatin, histone modifications, single cell technologies, genome wide association studies, statistical analyses, computational analysis, data processing. Credit will be granted for only one of BMEG 424 or BMEG 524. BMEG 310 or equivalent recommended. This course is not eligible for Credit/D/Fail grading.
Principles and best practices in analyzing genomics data. Genome architecture, mappability, repeat elements, ChIP-seq, open chromatin, histone modifications, single cell technologies, genome wide association studies, statistical analyses, computational analysis, data processing. Credit will be granted for only one of BMEG 424 or BMEG 524. BMEG 310 or equivalent recommended. This course is not eligible for Credit/D/Fail grading.
