Upcoming Classes & Events
October
Description
Multiplexed antibody-based imaging enables the detailed characterization of molecular and cellular organization in tissues. Significant advances in the field now allow high-parameter data collection (60+ targets); however, considerable expertise and capital are needed to validate antibodies, construct antibody panels, and acquire images. To overcome these challenges, we developed Iterative Bleaching Extends multi-pleXity (IBEX), an open-source, community supported method that can be completed at relatively low cost by biologists with basic laboratory skills. The IBEX Imaging Read More
Multiplexed antibody-based imaging enables the detailed characterization of molecular and cellular organization in tissues. Significant advances in the field now allow high-parameter data collection (60+ targets); however, considerable expertise and capital are needed to validate antibodies, construct antibody panels, and acquire images. To overcome these challenges, we developed Iterative Bleaching Extends multi-pleXity (IBEX), an open-source, community supported method that can be completed at relatively low cost by biologists with basic laboratory skills. The IBEX Imaging Community is an international group of scientists committed to sharing knowledge related to multiplexed imaging in a transparent and collaborative manner. Organ Mapping Antibody Panels (OMAPs) are community-validated resources that save time and money, increase reproducibility, and support the construction of a Human Reference Atlas. Open science empowers discovery across several domains including the construction of molecular and spatial atlases of normal and diseased tissues. To this end, we have employed advanced sequencing and imaging technologies to generate a multi-omic, multi-scale atlas of follicular lymphoma (FL) lymph nodes and the developing human thymus. In summary, a community approach to multiplexed imaging is needed to reduce financial costs, instill confidence in the resulting data, and accelerate translational research efforts.
Short Bio:
Dr. Andrea Radtke is an Associate Scientist at the National Institutes of Health. Dr. Radtke specializes in advanced microscopy techniques including IBEX, an open-source method that enables more than 65 protein biomarkers to be visualized in diverse tissues. She is passionate about team science and open science.
Zoom link: on demand
For more information, contact:
Gregoire.altan-bonnet@nih.gov
Sungm@nih.gov
Steven.cappell@nih.gov
Details
Organizer
Seminar - Systems Biology Interest GroupWhen
Tue, Oct 03, 2023 - 9:30 am - 10:30 amWhere
Building 4 – Room 433 (NIH Bethesda campus)Description
Presented as part of the
Presented as part of the Sequencing Strategies for Population and Cancer Epidemiology Studies (SeqSPACE) Webinar Series Dr. Kushal Dey is an Assistant Member and Josie Robertson Investigator in the Department of Computational and Systems Biology at the Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center. He is also an Assistant Professor at the Gerstner Sloan Kettering Graduate School of Biomedical Sciences. In this webinar, Dr. Dey will discuss his work at the Kushal Dey Lab, which builds statistical and machine learning models that integrate genetic and genomic data to prioritize variants, genes, and cell types, and to decode the causal functional architecture underlying heritable complex diseases — including immune-related diseases, like Alzheimer’s and inflammatory bowel disease, and heritable cancers, like breast cancer.
Speaker:
Kushal Dey, PhD
Assistant Member and Josie Robertson Investigator, Department of Computational and Systems Biology
Assistant Professor, Gerstner Sloan Kettering Graduate School of Biomedical Sciences
Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center
Details
Organizer
NCIWhen
Tue, Oct 03, 2023 - 3:00 pm - 4:00 pmWhere
Online WebinarDescription
Our series of talks continues this month with two 20-minute presentations. There will be light refreshments and we encourage attendees to stay and chat with colleagues after the presentations.
Droplet-microfluidics-assisted transcriptome sequencing of HIV DNA+ cells reveals HIV silencing signatures of HIV-infected ‘latent reservoirs’
Eli Boritz, MD, PhD
Chief, Virus Persistence and Dynamics Section
National Institute of Allergy and Read More
Our series of talks continues this month with two 20-minute presentations. There will be light refreshments and we encourage attendees to stay and chat with colleagues after the presentations.
Droplet-microfluidics-assisted transcriptome sequencing of HIV DNA+ cells reveals HIV silencing signatures of HIV-infected ‘latent reservoirs’
Eli Boritz, MD, PhD
Chief, Virus Persistence and Dynamics Section
National Institute of Allergy and Infectious Diseases (NIAID)
Single-nuclei RNA and ATAC Sequencing Uncovers Subtypes in Pancreatic Neuroendocrine Tumors
Shreya Rajhans
CRTA Postbaccalaureate Fellow | Arda Lab
National Cancer Institute (NCI)
Single Cell and Spatial Genomics Users Group organizing committee:
Mala Ananth, Mark Cookson, Stefan Cordes, Jamie Diemer, and Mike Kelly
Information about attending the talks virtually is below:
Join by meeting number
Meeting number (access code): 2300 958 5424
Meeting password: TbpjMsu*233
Details
Where
Building 40 Room 1201/1203Description
This is the first class in the NIH Library Introduction to R Series. This class provides a basic overview of the functionality of R programming language and RStudio. R is a programming language and open source environment for statistical computing and graphics. The R class series is a comprehensive collection of training sessions offered by the NIH Library Data Services and Bioinformatics programs that is designed to teach non-programmers how to write modular code Read More
This is the first class in the NIH Library Introduction to R Series. This class provides a basic overview of the functionality of R programming language and RStudio. R is a programming language and open source environment for statistical computing and graphics. The R class series is a comprehensive collection of training sessions offered by the NIH Library Data Services and Bioinformatics programs that is designed to teach non-programmers how to write modular code and to introduce best practices for using R for data analysis and data visualization. Each class uses both evidence-based best practices for programming and practical hands-on lessons.
By the end of this class, students should be able to: list reasons for using R; describe the purpose of the RStudio Script, Console, Environment, and Plots panes; describe the various methods for finding help on R and RStudio; organize files and directories for a set of analyses as an R Project; define the following terms as they relate to R: object, assign, comment, call, function, and arguments; and assign values to objects in R.
Students are encouraged to install R and RStudio before the class so that they can follow along with the instructor. Please bring your laptop with R and RStudio installed.
Details
Organizer
NIH LibraryWhen
Wed, Oct 04, 2023 - 1:00 pm - 2:00 pmWhere
Online WebinarDistinguished Speakers Seminar Series
Description
There is an urgent need to take what we have learned in our new data-driven era of medicine, and use it to create a new system of precision medicine, delivering the best, safest, cost-effective preventative or therapeutic intervention at the right time, for the right patients. Dr. Butte's teams at the University of California build and apply tools that convert trillions of points of molecular, clinical, and epidemiological data -- measured by researchers and Read More
There is an urgent need to take what we have learned in our new data-driven era of medicine, and use it to create a new system of precision medicine, delivering the best, safest, cost-effective preventative or therapeutic intervention at the right time, for the right patients. Dr. Butte's teams at the University of California build and apply tools that convert trillions of points of molecular, clinical, and epidemiological data -- measured by researchers and clinicians over the past decade and now commonly termed “big data” -- into diagnostics, therapeutics, and new insights into disease. Dr. Butte, a computer scientist and pediatrician, will highlight his center’s recent work on integrating electronic health records data from over 8 million patients across the entire University of California, and how analytics on this “real world data” can lead to new evidence for drug efficacy, new savings from better medication choices, and new methods to teach intelligence – real and artificial – to more precisely practice medicine.
Details
Organizer
BTEPWhen
Thu, Oct 05, 2023 - 1:00 pm - 2:00 pmWhere
Online WebinarDescription
Dr. Hoifung Poon is the General Manager at Health Futures of Microsoft Research and an affiliated professor at University of Washington Medical School. He leads biomedical AI research and incubation, with the overarching goal of structuring medical data to accelerate discovery and improve delivery for precision health. His team and collaborators are among the first to explore large language models (LLMs) in health applications, from foundational research to incubations at large health systems and Read More
Dr. Hoifung Poon is the General Manager at Health Futures of Microsoft Research and an affiliated professor at University of Washington Medical School. He leads biomedical AI research and incubation, with the overarching goal of structuring medical data to accelerate discovery and improve delivery for precision health. His team and collaborators are among the first to explore large language models (LLMs) in health applications, from foundational research to incubations at large health systems and life science companies, and ultimately to commercialization. His prior work has been recognized with Best Paper Awards from premier venues, including as NAACL, EMNLP, and UAI.
Details
Description
This session describes the application of the web-based interactive OmicCircos in R Shiny to construct circular plots with desired biological features. Example data from human and mouse genomes will be used to demonstrate over thirty plot functions along with the color selection, annotation, labeling, and zoom capabilities. User-guide, take-home video and sample plots from publications will be provided. No R Programming experience is required. By the end of this training, students will be able Read More
This session describes the application of the web-based interactive OmicCircos in R Shiny to construct circular plots with desired biological features. Example data from human and mouse genomes will be used to demonstrate over thirty plot functions along with the color selection, annotation, labeling, and zoom capabilities. User-guide, take-home video and sample plots from publications will be provided. No R Programming experience is required. By the end of this training, students will be able to format data for omicCircos in R Shiny, use the point-and-click interface to set the parameters and generate circular plots, and export the plot for presentation and publication.
This workshop will be taught by NCI staff and is open to NIH and HHS staff. This class is 2 hours and is a mix of lecture and demo.
Details
Organizer
CBIITWhen
Fri, Oct 06, 2023 - 12:00 pm - 2:00 pmWhere
Online WebinarDescription
In this talk we will discuss what is a p-value and examples of p-value hacking. We will also review the basics of several statistical tests and when to use them. This session will be recorded, and materials will be shared with attendees a few days after the event. For details, please contact Natasha Pacheco (natasha.pacheco@nih.gov) from the Advanced Biomedical Computational Science group at FNLCR.
This will be a Read More
In this talk we will discuss what is a p-value and examples of p-value hacking. We will also review the basics of several statistical tests and when to use them. This session will be recorded, and materials will be shared with attendees a few days after the event. For details, please contact Natasha Pacheco (natasha.pacheco@nih.gov) from the Advanced Biomedical Computational Science group at FNLCR.
This will be a hybrid event.
Details
Where
Building 549 Executive Board RoomDescription
Partek Flow is your start-to-finish solution for analyzing high dimensional multi-omics sequencing data. It is a point-and-click software and is suitable for those who wish to avoid the steep learning curve associated with analyzing sequencing data through command line and/or code. At NIH, Partek Flow is hosted on the Biowulf high performance computing cluster (HPC). Researchers interact Read More
Partek Flow is your start-to-finish solution for analyzing high dimensional multi-omics sequencing data. It is a point-and-click software and is suitable for those who wish to avoid the steep learning curve associated with analyzing sequencing data through command line and/or code. At NIH, Partek Flow is hosted on the Biowulf high performance computing cluster (HPC). Researchers interact with the software through a web browser using a URL supplied by Biowulf once a Biowulf and Partek Flow account has been set up. This setup allows users to take advantage of the compute power offered by HPC while using a graphical user interface to construct a sequencing data analysis workflow. Partek Flow enables the creation of publication quality visualizations.
This online class is not hands-on. Biowulf and Partek Flow accounts are not required to attend. Participants will be presented with instructions for obtaining access to Partek Flow at the beginning of class.
This training session will address bulk RNA and ATAC sequencing analysis using Partek Flow. Participants will learn how to integrate these two assays to gain insights on the epigenetic regulation of gene expression. Topics covered include:
- Import of fastq files
- Alignment of fastq files to reference genome
- Detect peaks for ATAC sequencing data
- Quantification for RNA sequencing data
- Compare peak regions and gene expression
- Integrate RNA sequencing and ATAC sequencing results
Meeting link:
https://cbiit.webex.com/cbiit/j.php?MTID=mc425f72619b46e5defe804bf67a43b70
Meeting number:
2304 390 4110
Password:
JeRmMFa*823
Join by video system
Dial 23043904110@cbiit.webex.com
You can also dial 173.243.2.68 and enter your meeting number.
Join by phone
1-650-479-3207 Call-in number (US/Canada)
Access code: 2304 390 4110
Host PIN: 2784
Register
Where
OnlineDescription
This session focuses on R data types and data structures. In R, more advanced libraries (code) may require data to be a particular data type or data structure to perform a function or analysis. Understanding the foundational concepts of data types and data structures will enable emerging coders to avoid programmatic pitfalls and correct coding errors effectively. This class will demonstrate how to determine data types, and build data structures, and convert data types Read More
This session focuses on R data types and data structures. In R, more advanced libraries (code) may require data to be a particular data type or data structure to perform a function or analysis. Understanding the foundational concepts of data types and data structures will enable emerging coders to avoid programmatic pitfalls and correct coding errors effectively. This class will demonstrate how to determine data types, and build data structures, and convert data types when needed for functions such as analysis and visualizations.
Details
Organizer
NIH LibraryWhen
Wed, Oct 11, 2023 - 1:00 pm - 2:00 pmWhere
Online WebinarDescription
Zhiyong Lu, Ph.D. will present AI in Medicine: Improving Access to Literature Data for Knowledge Discovery at the monthly Data Sharing and Reuse Seminar.
The explosion of biomedical big data and information in the past decade or so has created new opportunities for discoveries to improve the treatment and prevention of human diseases. But the large body of knowledge—mostly exists as free text in journal articles for Read More
Zhiyong Lu, Ph.D. will present AI in Medicine: Improving Access to Literature Data for Knowledge Discovery at the monthly Data Sharing and Reuse Seminar.
The explosion of biomedical big data and information in the past decade or so has created new opportunities for discoveries to improve the treatment and prevention of human diseases. But the large body of knowledge—mostly exists as free text in journal articles for humans to read—presents a grand new challenge: individual scientists around the world are increasingly finding themselves overwhelmed by the sheer volume of research literature and are struggling to keep up to date and to make sense of this wealth of textual information. Our research aims to break down this barrier and to empower scientists towards accelerated knowledge discovery. This seminar will discuss the development of large-scale, AI-based solutions for better understanding scientific text in the biomedical literature. Moreover, I will demonstrate their uses in some real-world applications such as improving PubMed searches (Fiorini et al., Nature Biotechnology 2018), supporting precision medicine with LitVar (Allot et al., Nature Genetics 2023), and taming COVID-19 pandemic paper tsunami in LitCovid (Chen et al., Nature 2000).
About the Speaker
Dr. Zhiyong Lu is a (tenured) Senior Investigator at the National Library of Medicine Intramural Research Program, leading research in biomedical text and image processing, information retrieval, and AI/machine learning. In his role as Deputy Director for Literature Search at National Center of Biotechnology Information (NCBI), Dr. Lu oversees the overall R&D efforts to improve literature search and information access in resources like PubMed and LitCovid, which are used by millions worldwide each day. Dr. Lu also serves as an Associate Editor of Bioinformatics, and Organizer of the BioCreative NLP challenge. Over the last 15 years, Dr. Lu has mentored over 60 trainees, many of whom have gone on to become independent faculty members/researchers at academic institutions in the US, Europe, and Asia. With over 300 peer-reviewed publications, Dr. Lu is a highly cited author, and a Fellow of the American College of Medical Informatics (ACMI) and the International Academy of Health Sciences Informatics (IAHSI).
Details
Organizer
NIH Office of Data Science Strategy (ODSS)When
Fri, Oct 13, 2023 - 12:00 pm - 1:00 pmWhere
Online WebinarDescription
This class introduces version control and how to use GitHub for project versioning. Participants will have a better understanding of version control, GitHub, and their advantages for managing projects.
Upon completion of this class participants should be able to recognize why version control is useful, discuss the difference between Git and GitHub, Read More
This class introduces version control and how to use GitHub for project versioning. Participants will have a better understanding of version control, GitHub, and their advantages for managing projects.
Upon completion of this class participants should be able to recognize why version control is useful, discuss the difference between Git and GitHub, list the options for authenticating to GitHub, and list the options for creating a personal access token (PAT).
Details
Organizer
NIH LibraryWhen
Mon, Oct 16, 2023 - 2:00 pm - 3:00 pmWhere
Online WebinarDescription
Labeling signal data is a very important step in creating AI-based signal processing solutions. However, this step can be very time consuming and manual. In this beginner/intermediate one-hour session, the attendees will be introduced to signal labeling for use in AI applications and discuss how MATLAB can be used to speed up and simplify the process, from preprocessing to extracting information from signals. The session will Read More
Labeling signal data is a very important step in creating AI-based signal processing solutions. However, this step can be very time consuming and manual. In this beginner/intermediate one-hour session, the attendees will be introduced to signal labeling for use in AI applications and discuss how MATLAB can be used to speed up and simplify the process, from preprocessing to extracting information from signals. The session will cover different approaches for signal labeling, including using algorithms and automating with deep learning models. It will also discuss an iterative method of building deep learning models and reducing human effort in labeling.
Details
Organizer
NIH LibraryWhen
Tue, Oct 17, 2023 - 12:00 pm - 1:30 pmWhere
Online WebinarDescription
Labeling signal data is a very important step in creating AI-based signal processing solutions. However, this step can be very time consuming and manual. In this beginner/intermediate one-hour session, the attendees will be introduced to signal labeling for use in AI applications and discuss how MATLAB can be used to speed up and simplify the process, from preprocessing to extracting information from signals. The session will Read More
Labeling signal data is a very important step in creating AI-based signal processing solutions. However, this step can be very time consuming and manual. In this beginner/intermediate one-hour session, the attendees will be introduced to signal labeling for use in AI applications and discuss how MATLAB can be used to speed up and simplify the process, from preprocessing to extracting information from signals. The session will cover different approaches for signal labeling, including using algorithms and automating with deep learning models. It will also discuss an iterative method of building deep learning models and reducing human effort in labeling.
Details
Organizer
NIH LibraryWhen
Tue, Oct 17, 2023 - 12:00 pm - 1:30 pmWhere
Online WebinarDescription
This October session of the BTEP Coding club will feature a tutorial on how to access data from GEO as well as how to submit data to GEO.
This October session of the BTEP Coding club will feature a tutorial on how to access data from GEO as well as how to submit data to GEO.
Register
Description
Data Wrangling is another class in the NIH Library Introduction to R and RStudio Series. A basic understanding of using R and RStudio to manage data is expected. This one-hour class will introduce the R tidyverse package and how to use it to manipulate, analyze and export data. This class will explore options for using the tidyverse functions select, filter, pipes, mutate, head, is.na, and export. Learning these functions will enable users to Read More
Data Wrangling is another class in the NIH Library Introduction to R and RStudio Series. A basic understanding of using R and RStudio to manage data is expected. This one-hour class will introduce the R tidyverse package and how to use it to manipulate, analyze and export data. This class will explore options for using the tidyverse functions select, filter, pipes, mutate, head, is.na, and export. Learning these functions will enable users to have well formatted data frames for future clean and consistent analysis and visualizations.
Details
Organizer
NIH LibraryWhen
Wed, Oct 18, 2023 - 1:00 pm - 2:00 pmWhere
Online WebinarDescription
Data Wrangling is another class in the NIH Library Introduction to R and RStudio Series. A basic understanding of using R and RStudio to manage data is expected. This one-hour class will build on the introduction provided in Data Wrangling Part 1 to further explore the R tidyverse package and how to use it to manipulate, analyze and export data. This class will explore options for using the tidyverse functions group_by, summarize, count, arrange, Read More
Data Wrangling is another class in the NIH Library Introduction to R and RStudio Series. A basic understanding of using R and RStudio to manage data is expected. This one-hour class will build on the introduction provided in Data Wrangling Part 1 to further explore the R tidyverse package and how to use it to manipulate, analyze and export data. This class will explore options for using the tidyverse functions group_by, summarize, count, arrange, and export. Learning these functions will enable users to have well formatted data frames for future clean and consistent analysis and visualizations.
Details
Organizer
NIH LibraryWhen
Thu, Oct 19, 2023 - 1:00 pm - 2:00 pmWhere
Online WebinarDescription
Python is a programming language used for data science, specifically: data analysis, statistical analysis, and visualization of results. This class will demonstrate integrated development and learning (IDE) platforms for learning Python, the fundamentals of Python coding, and why it is advantageous to develop these skills. The session will feature the following IDEs: Google Colaboratory: Jupyter Notebook; and Anaconda’s: Spyder, Jupyter Notebook, and JupyterLab. It will also provide an overview of Read More
Python is a programming language used for data science, specifically: data analysis, statistical analysis, and visualization of results. This class will demonstrate integrated development and learning (IDE) platforms for learning Python, the fundamentals of Python coding, and why it is advantageous to develop these skills. The session will feature the following IDEs: Google Colaboratory: Jupyter Notebook; and Anaconda’s: Spyder, Jupyter Notebook, and JupyterLab. It will also provide an overview of programming constructs needed to learn Python. Finally, this class will demonstrate why these skills can boost productivity, rigor, and transparency in reporting research findings.
Details
Organizer
NIH LibraryWhen
Fri, Oct 20, 2023 - 10:00 am - 11:00 amWhere
Online WebinarDescription
Partek Flow is your start-to-finish solution for analyzing high dimensional multi-omics sequencing data. It is a point-and-click software and is suitable for those who wish to avoid the steep learning curve associated with analyzing sequencing data through command line and/or code. At NIH, Partek Flow is hosted on the Biowulf high performance computing cluster (HPC). Researchers interact Read More
Partek Flow is your start-to-finish solution for analyzing high dimensional multi-omics sequencing data. It is a point-and-click software and is suitable for those who wish to avoid the steep learning curve associated with analyzing sequencing data through command line and/or code. At NIH, Partek Flow is hosted on the Biowulf high performance computing cluster (HPC). Researchers interact with the software through a web browser using a URL supplied by Biowulf once a Biowulf and Partek Flow account has been set up. This setup allows users to take advantage of the compute power offered by HPC while using a graphical user interface to construct a sequencing data analysis workflow. Partek Flow enables the creation of publication quality visualizations.
This online class is not hands-on. Biowulf and Partek Flow accounts are not required to attend. Participants will be presented with instructions for obtaining access to Partek Flow at the beginning of class.
This training session will address RNA and ATAC sequencing analysis on the single cell level using Partek Flow. Participants will learn how to integrate these two assays to gain insights to the epigenetic regulation of gene expression at the single cell level. Topics covered include:
- Import single cell ATAC sequencing Cellranger output
- QA/QC
- Visualization
- Compare peak regions
- Motif detection
- Integration with single cell RNA-seq data
Meeting link:
https://cbiit.webex.com/cbiit/j.php?MTID=m53264dc1ee781615a0d289b1678feefc
Meeting number:
2300 641 2315
Password:
mcCG3P8kh@2
Join by video system
Dial 23006412315@cbiit.webex.com
You can also dial 173.243.2.68 and enter your meeting number.
Join by phone
1-650-479-3207 Call-in number (US/Canada)
Access code: 2300 641 2315
Host PIN: 2784
Register
Where
OnlineNovember
Description
Analysis of medical images such as MRI, CT, X-ray and ultrasound requires a comprehensive environment for data access, visualization, processing, and algorithm development. MATLAB provides tools such as Medical Imaging Toolbox and Deep Learning Toolbox and algorithms for end-to-end medical image analysis and Artificial Intelligence (AI) workflow. This class will highlight the main challenges of extracting clinically meaningful information based on advanced techniques such as AI. Participants will learn how to clean, segment, register, Read More
Analysis of medical images such as MRI, CT, X-ray and ultrasound requires a comprehensive environment for data access, visualization, processing, and algorithm development. MATLAB provides tools such as Medical Imaging Toolbox and Deep Learning Toolbox and algorithms for end-to-end medical image analysis and Artificial Intelligence (AI) workflow. This class will highlight the main challenges of extracting clinically meaningful information based on advanced techniques such as AI. Participants will learn how to clean, segment, register, and label a large collection of images.
This is an introductory level class. No installation of MATLAB is necessary.
Details
Organizer
NIH LibraryWhen
Wed, Nov 01, 2023 - 12:00 pm - 1:30 pmWhere
Online WebinarDescription
Dr. Ting Wang is a Sanford C. and Karen P. Loewentheil Distinguished Professor of Medicine at the McDonnell Genome Institute, Washington University School of Medicine in St. Louis. Dr. Wang’s lab investigates epigenetic determinants of cell fates in normal development and regeneration, in cancer, and in evolution, by integrating cutting-edge experimental and computational technologies. His lab developed widely used DNA methylomics technologies, algorithms to identify regulatory motifs and modules, and analytical and Read More
Dr. Ting Wang is a Sanford C. and Karen P. Loewentheil Distinguished Professor of Medicine at the McDonnell Genome Institute, Washington University School of Medicine in St. Louis. Dr. Wang’s lab investigates epigenetic determinants of cell fates in normal development and regeneration, in cancer, and in evolution, by integrating cutting-edge experimental and computational technologies. His lab developed widely used DNA methylomics technologies, algorithms to identify regulatory motifs and modules, and analytical and visualization tools to integrate large genomic and epigenomic data.
Dr. Karen Miga is an Assistant Professor in the Biomolecular Engineering Department at the University of California, Santa Cruz (UCSC). She is also the Associate Director of the UCSC Genomics Institute. In addition, she co-leads the Telomere-to-Telomere (T2T) Consortium and is the Project Director of the Human Pangenome Reference Consortium (HPRC) Production Center at UCSC. Her lab aims to uncover a new source of genetic and epigenetic variation in the human population, which is useful to investigate novel associations between genotype and phenotype of inherited traits and disease.
Details
When
Tue, Nov 14, 2023 - 3:00 pm - 4:00 pmWhere
Online WebinarDescription
This session introduces two versions of R/ Bioconductor package OmicCircos to generate high-quality circular plots for visualizing multi-dimensional omics daa:
- coding in the R environment for programmers;
- point and click OmicCircos R Shiny app on the Cancer Genoomics Cloud (CGC) for non-programmers.
Meeting number:2310 050 3184
Password:3sfNDMBq*66
Join by phone
1-650-479-3207 Call-in number (US/Canada)
Access Read MoreThis session introduces two versions of R/ Bioconductor package OmicCircos to generate high-quality circular plots for visualizing multi-dimensional omics daa:
Meeting number:2310 050 3184
Password:3sfNDMBq*66
Join by phone
1-650-479-3207 Call-in number (US/Canada)
Access code: 2310 050 3184