COMPUTER-BASED GENE AND DISEASE/DISORDER RESEARCH LAB

GENETICS/NEURODPT 650

Functional genomics methods (RNA-seq, ATAC-seq, Hi-C, ChIP-seq, Tag, etc.) and their applications in the study of molecular and cellular mechanisms governing brain development, evolution, and neurodevelopmental and neuropsychiatric disorders. Overview of relevant aspects of Genetics and Neuroscience, including genomic approaches for gene discovery for human disorders and key properties of brain cells and circuit development. Bioinformatic approaches for analyzing genome-scale data sets. Critical consideration of experimental design and analysis strategies through reading and discussion of primary research literature and the development of an original research proposal. Emphasis will be placed upon how to effectively communicate science (written and oral).

CRB/GENETICS 710

Covers a broad range of topics in animal development, with an emphasis on molecular mechanisms. Focuses on common themes, with the goal of understanding and analyzing current research in developmental biology and genetics.

GENETICS 564

The basic principles of genomics, proteomics and bioinformatics will be taught through a semester-long project of the students choosing. Creative problem solving in science skills will be learned through a variety of active-learning techniques that include: reading of primary literature, group presentations, peer review, bioinformatic lab exercises, science communication skills (writing visualization), and creating a website. Emphasis will be placed upon how to effectively communicate science (written, oral and written). Topics include: genomic sequencing, phylogeny, domain analysis, transcriptomics, CRISPR screens, chemical genomics, quantitative proteomics and protein networks. Capstone course.

GENETICS 705

Provides support, processes, and tools for advancing graduate research and refining individual research topics. Adjust and refine goals of a research topic to maximize the impact of doctoral research and learn how to navigate the shifting landscape of research throughout doctoral studies. Boost emerging graduate research plans by gaining operations skills in independent knowledge acquisition and technical skills in basic computational biology. Activities include shaping a research question, identifying barriers in the research process, building a reference bibliography of relevant background literature, using databases and other electronic resources that inform research, and operating basic tools to determine gene function.

GENETICS 885

With the availability of genome sequences and high-throughput techniques, organismal physiology can now be examined on a global scale by monitoring the behavior of all genes or proteins in a single experiment. This course will present modern techniques in genomics and proteomics, with particular focus on analyzing the data generated by these techniques. Course material will cover genomic sequencing, comparative sequence analysis, phylogeny construction and phylogenomics, transcription factor motif discovery, DNA microarray analysis, techniques in mass spectrometry, proteomic screening methods, and protein-interaction network analysis. In addition to lecture time, the course includes computer lab where students get hands-on experience analyzing genomic and proteomic datasets. Students should have coursework in general statistics and intermediate or advanced genetics.