Events

Nov 13
Nicolas Berbari
Indiana University-Purdue University Indianaplois, Dept of Biology

Neuronal Cilia in Feeding Behavior and Obesity

Nov 13
Will Thompson, Ph.D.
Proteomics & Metabolomics Shared Resource GCB Duke University

Strategies for Metabolomic Data Collection, Analysis & Interpretation

  • November 15, 2018 9:00am to 1:00pm

    Single-cell RNA-Seq

    Limited to 12 participantsRegistration Deadline: Nov. 5, 2018Location: 101 ChemCost: $50 for faculty, postdocs and staff; Free for grad studentsThis 4-hour hands-on tutorial will provide you with experience working with data from a single-cell RNA-Seq experiment. We will cover quality control, filtering, normalization, clustering, differential expression and mark identification analysis.Pre-requisites: Must have previously taken the GCB Academy “RNA-Seq Analysis” course.Register

  • November 15, 2018 12:00pm to 1:00pm

    Epigenomics of neuronal diversity and connectivity in the brain

    UPGG Distinguished Lecture Series

  • November 19, 2018 11:30am to 12:30pm

    CBB Seminar: Expanding the structural biology toolbox with high-resolution cryo-electron microscopy.

    Host: Paul MagweneLocation: 4233 French

  • November 20, 2018 12:30pm to 1:30pm

    Copy number variation in vertebrate evolution and human disease

    UPGG Tuesday Seminar SeriesHost: Joseph HeitmanLocation: Room 147, Nanaline Duke

  • November 26, 2018 9:00am to 10:00am

    BME Seminar: Data Science Approaches to Biological Systems

    Location: FCIEMAS, Schiciano Auditorium, Side BBreakfast will being at 8:30 in the CIEMAS pre-function area

  • November 26, 2018 11:30am to 12:30pm

    CBB Seminar: Finding copy number variants relevant to vertebrate evolution and human disease

    Host: Paul MagweneLocation: 4233 French 

  • November 27, 2018 12:30pm to 1:30pm

    Moving beyond microbiome-wide associations to identifying causal microbes

    UPGG Tuesday Seminar SeriesHost: John RawlsLocation: Room 147, Nanaline Duke

  • November 27, 2018 4:00pm to 5:00pm

    Interpreting the functional, phenotypic, and evolutionary significance of human genomic variation

    Dr. Joshua Akey is a Professor at Princeton University who researches evolutionary genomics and adaptation. He is interested in applying experimental, computational, and theoretical approaches to better understand the biology and evolution of genomes.His work is guided by the principle that answers to complex and important problems should not be confined by rigid disciplinary boundaries. Thus, his lab is primarily motivated by important biological questions and uses both experimental, computational, and theoretical methods in our research. Their favorite "model organisms" are yeast, dogs, and humans, each of which are uniquely poised to answer specific questions about the biology and evolution of genomes.The Akey lab’s long-term goal is to address two fundamental and interrelated questions: First, what is the genetic architecture of phenotypic variation?  Second, what is the mechanistic basis of evolutionary change?

  • December 3, 2018 11:30am to 12:30pm

    CBB Seminar

    Host: Bruce DonaldLocation: French 4233

  • December 4, 2018 12:30pm to 1:30pm

    UPGG Tuesday Seminar Series

    UPGG Tuesday Seminar SeriesHost: Jeffrey BourgeoisLocation: Room 147, Nanaline Duke

  • December 7, 2018 9:00am to 10:30am

    Introduction to Biobanking

    Registration Deadline: Nov. 27, 2018Location: 2240 CIEMASCost: FreeThis seminar will offer an introductory overview of key considerations and best practices in establishing and maintaining clinical biospecimen collections for genomic and precision medicine research. Topics covered will include:  basic concepts in biobank and cohort research; role of standardization, harmonization, and quality control; maintaining unique sample identification and robust chain-of-custody tracking; need for secure information and inventory management systems for samples and data; important considerations in repository design; and an overview of biobanking resources at Duke and beyond.Register

  • December 10, 2018 11:30am to 12:30pm

    CBB Seminar: Measuring, manipulating and modeling chromatic regulation of neuronal gene expression

    Host: Paul MagweneLocation: 4233 French

  • December 14, 2018 8:00am to 10:00am

    Refresher on Medical Genetics and Genome Medicine

    Registration Deadline: Dec. 4, 2018Location: DMP2W91Cost: FreeCourse summary: This 90-minute course will provide attendees with an overview of general principles of genetics, genomics and molecular biology, and clinical applications and technologies currently used in clinical practice. In particular, the course will provide an overview of genomics, genome-wide association studies and other large initiatives and a range of testing technologies for diagnosis and treatment. Introduction of new technologies such as liquid biopsies will also be briefly discussed. Continuing education credits will be available.Register

  • January 6, 2019 9:00am to January 8, 2019 4:00pm

    Duke Machine Learning Winter School

    Machine learning is having an increasing impact across almost all areas of life, including healthcare, business, law, security, etc. Basic knowledge of machine learning is become important for many occupations. The Duke Machine Learning Winter School (MLWS) will provide an introduction to the basics of machine learning, with a focus on recent developments in deep learning. The MLWS will be delivered with the goal of being accessible to as broad an audience as possible, with an emphasis on intuition, and on how the technology is used in several application areas. The first day of the MLWS will focus on broad understanding of the fundamentals of machine learning, including model design, and what it means for a machine to "learn," especially with large datasets ("big data"). The second and third days of the MLWS will address the two areas for which modern deep learning is having its biggest impact: (i) image/video analysis and (ii) natural language processing. The class is appropriate for students (undergraduate and graduate), faculty and staff with a basic understanding of mathematics, ideally including some calculus and probability. Details on the MLWS and where to register The MLWS is a part of the broader Duke + Data Science (+DS) program