Events

The Epigenetics Boot Camp is a two-day intensive boot camp of seminars and hands-on analytical sessions to provide an overview of concepts, techniques, and data analysis methods utilized in human epigenetics studies and focused on DNA methylation array. This two-day intensive boot camp integrates the principle concepts of epigenetics and the effects of risk factors on the epigenome as we step through the key components of designing and executing DNA methylation studies. Led by a team of scientists with more than 50 years of combined expertise in the field of environmental epigenetics, this epigenetics training will integrate seminar lectures with hands-on computer sessions to put concepts into practice. Emphasis will be given to leveraging existing resources from ongoing studies and initiating new investigations. The afternoon lab sessions will provide an opportunity to work hands-on with real methylation data generated by the Illumina Infinium MethylationEPIC (850k) BeadChip platform. Participants will learn and practice data handling, cleaning, and basic analysis of epigenome-wide DNA methylation data. This training will not cover WGBS or analyses from sequencing experiments in animal models. By the end of the epigenetics training, participants will be familiar with the following topics: Principles of epigenetics Concept ideation and study design Sample collection and processing Laboratory methods and platforms for analysis Data handling and cleaning Analysis of 450K/EPIC data Study design advantages and pitfalls Emerging epigenetic topics and laboratory platforms Investigators at all career stages are welcome to attend, and we particularly encourage trainees and early-stage investigators to participate.     Contact the Epigenetics Boot Camp team. Capacity is limited. Paid registration is required to attend.

The Electronic Medical Records Boot Camp is a two-day intensive boot camp of seminars and hands-on analytical sessions to provide an overview of electronic health data opportunities, statistical challenges, and latest techniques. Despite the great potential, analyzing such large, scattered and heterogeneous observational patient data is still technically challenging. This two-day intensive workshop will go over opportunities and potentials of EMR/EHR for health and medical studies, statistical challenges and pitfalls for analyzing EMR/EHR, and the latest developments of multiple techniques to address those challenges, followed by hands-on computer lab sessions and case studies to put concepts into practice. By the end of the electronic medical records training, participants will be familiar with the following topics: Power and potentials of EMR/EHR data Open-access datasets across the world Preparation, transformation and integration of EMR/EHR Confounding, bias and missing data in EMR/EHR and statistical methods addressing these challenges Statistical methods for comparative effectiveness Statistical methods for predictive analysis Audience and Requirements Investigators from any institution and from all career stages are welcome to attend, and we particularly encourage trainees and early-stage investigators to participate. There are four requirements to attend this training: Each participant must have an introductory background in statistics. Each participant must be familiar with R. Each participant must have a laptop/computer with latest versions of R and R-Studio downloaded and installed prior to the first day of the workshop. R and R-Studio are available for free download and installation on Mac, PC, and Linux devices.  Each participant will be required to apply for access to MIMIC-III data, requiring completion of specific HIPAA training to receive credentials. Additional Information Subscribe for updates on new Boot Camp details and registration deadlines. Contact the Boot Camp team. Capacity is limited. Paid registration is required to attend.

Open Office hours is an open discussion and training session available to anyone who works on CUIMC websites. During this session you’ll be able to ask questions, go over real examples and get one-on-one training and support from CUIMC Web Services.

The Quantitative Genomics Training is a two-day intensive training of seminars and hands-on analytical sessions to provide an overview of concepts, methods, and tools for whole-genome and transcriptome analyses in human health studies. This two-day intensive workshop will provide a rigorous introduction to several different techniques to analyze whole-genome sequencing and transcriptome data. Led by a team of experts in statistical genomics and bioinformatics, who have developed their own methods to analyze such data, the training will integrate seminar lectures with hands-on computer lab sessions to put concepts into practice. The training will focus on reviewing existing approaches based on predicted expression association with traits, colocalization of causal variants, and Mendelian Randomization, including discussion on how they relate to each other, and their advantages and limitations. Emphasis will also be given to reviewing integrative sequence-based association studies for whole-genome sequencing data, and functional annotation of variants in noncoding regions of the genome. By the end of the workshop, participants will be familiar with the following topics: Sequence-based association tests (Burden, SKAT and extensions) Functional genomic annotations Analysis of genomic variants in human diseases Transcriptome wide association tests (PrediXcan, MetaXcan, and extensions) Mendelian Randomization techniques Colocalization techniques Audience and Requirements Investigators at all career stages are welcome to attend, and we particularly encourage trainees and early-stage investigators to participate. There are three requirements to attend this workshop: Each participant must have an introductory background in statistics and genetics, and/or in the statistical analysis of genetic data. Experience using R is recommended to get the most out of lab sessions. Each participant should have a laptop with R/RStudio downloaded and installed prior to the first day of training. All lab sessions will be done using Posit Cloud (formerly RStudio Cloud). Additional Information Subscribe for updates on new Training details and registration deadlines.  Contact the Quantitative Genomics Training team. Capacity is limited. Paid registration is required to attend.