This course explores a variety of ethical and policy issues that arise during the conduct of basic, translational, epidemiological, computational and clinical biomedical research. The course's philosophy is to facilitate and encourage students to engage with Columbia faculty members who can speak from their own experience on ethical questions that can arise during the conduct of scientific research. Course sessions include lectures, discussion periods, and analyses of case studies. Full details on course curriculum, syllabus, schedule, speakers, policies, etc.: https://www.gsas.cuimc.columbia.edu/responsi ble-conduct-research-and-related-policy- issues
This course will provide an in-depth discussion of state-of-the-art methodological concepts and approaches for analysis of molecular data, with a focus on sequencing data. The first part of the course will focus on key concepts in sequencing data analysis in the microbiome realm, including the challenges inherent to the field, such as compositionality and bias, recent advances in reference-free metagenomic analyses, and analyses of metagenomic plasticity. The second part of the course will touch upon a variety of topics related to computational genomics and biology, including mathematical modeling of infectious diseases, cancer genomics, and protein molecular modeling. The course will comprise of frontal and guest lectures, as well as presentation of research papers by students. Students will also complete a group project.
For all first year Ph.D. students. Provides a unified curriculum that covers many of the topics that students need to know to successfully carry out research in biological sciences. Topics include basic biochemical principles, processes common to all eukaryotic cells such as transcription, translation and the cell cycle, and mechanism of cell-cell signaling.