![]() To introduce the theoretical concepts related to 3D genome data analysis.Goals and Objectives: After the workshop participants should be able to obtain, process, analyze, and visualize 3D genome data on their own as well as to understand some of the logic, motivation and pitfalls associated with common operations such as Hi-matrix balancing and multi-resolution visualization. With efforts such as the 4D Nucleome Project and ENCODE 4 already beginning to generate large amounts of data, the ability to analyze and visualize it will be a valuable asset to any computational biologist tasked with interpretation of experimental results. Motivation: Due in large part to the explanatory power of chromosome organization in gene regulation, its association with disease and disorder as well as the unanswered questions regarding the mechanisms behind its maintenance and function, the 3D structure and function of the genome are becoming increasingly target of scientific scrutiny. Jian Ma, Carnegie Mellon University, United States Tutorial Overview: Soo Lee, Harvard Medical School, United States Peter Kerpedjiev, Harvard Medical School, United States Nils Gehlenborg, Harvard Medical School, United States Nezar Abdennur, PhD student, MIT, United States You need JavaScript enabled to view it.ĭate: Friday, July 21, 10:00 am - 1:30 pm Her past research includes high-throughput analysis of both coding and non-coding RNAs in several disease models including the estrogen response in breast cancer.Įmail: This email address is being protected from spambots. Her current research focuses on investigating the mechanisms underlying promiscuous gene expression in thymic epithelial cells using single cell RNAseq. Jeanette Baran-Gale, MRC Institute of Genetics & Molecular Medicine, University of Edinburgh, United Kingdom Jeanette Baran-Gale is a postdoctoral research fellow in the lab of Chris Ponting at the MRC Institute of Genetics & Molecular Medicine, University of Edinburgh. The target audience are researchers who have recently started working on or plan to work in near future with single cell data (Beginner or Intermediate), as well as anyone who is working with large scale genome-wide data and wants to know more about the opportunities and challenges presented by these new data (Broad Interest).Īnagha Joshi, Roslin Institute, University of Edinburgh, United Kingdom Hands-on session – Smart-seq2 data analysis We will particularly provide a hands-on activity to analyze single cell data generated by smart-seq2 and 10x platforms. This half a day tutorial session will present recent advances in the development and application of new computational tools, resources and methods to analyze single cell RNA sequencing data highlighting the strengths and weaknesses of these techniques. Being a recent and currently evolving technique, the data processing and analysis protocols are currently far from standardized. Single cell sequencing makes it possible to trace cellular differentiation in minute detail, to study cell-to-cell heterogeneity or to identify rare cell types. Jeanette Baran-Gale, MRC Institute of Genetics & Molecular Medicine, University of Edinburgh, United KingdomĪfter nearly a decade in existence, short-read bulk RNA-sequencing has decidedly gone mainstream, but new technologies keep evolving to reveal ever more intricate aspects of the transcriptional landscape of a cell. Those attending one tutorial only have the option to purchase a lunch ticket during on-line registration.Īnagha Joshi, Division of Developmental Biology, Roslin Institute, University of Edinburgh, United Kingdom Lunch is included in the registration fee for attendees registering for two tutorials. Attendees will receive a Tutorial Entry Pass (ticket) at the time they register on site. Tutorial participants must be registered for the ISMB/ECCB conference to attend a tutorial. Tutorial attendees should register using the on-line registration system. ISMB/ECCB 2017 features half-day tutorial sessions on Friday, Jone day prior to the start of conference scientific program. Tutorial PM6: Making Galaxy Work for You.Tutorial PM5: Prediction of Regulatory Networks from Expression and Chromatin Data (SOLD OUT).Tutorial PM4: Network Analysis in Cytoscape: Advanced Topics (SOLD OUT).Tutorial AM3: 3D Genome Data Processing, Analysis, and Visualization (SOLD OUT).Tutorial AM2: Ontologies in Computational Biology (SOLD OUT).Tutorial AM1: Single Cell Transcriptomics (SOLD OUT).Attention Participants: If you have not received your instructions to prepare for your tutorial please email This email address is being protected from spambots.
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