The goal of the Bioinformatics Training and Education Program (BTEP), established by the Office of Science and Technology Resources (OSTR), is to increase the awareness and understanding of bioinformatics techniques and processes among CCR scientists, and to empower CCR scientists to perform a basic, informed set of analyses on their own behalf.
These training classes address the practical aspects of acquiring, representing, and analyzing complex biomedical data sets. Relevant theory and experimental design are also discussed. The goal is to provide both analytic recipes and to ensure better understanding of the theoretical and practical aspects of sound analytical technique.
NIH Bioinformatics Calendar – Upcoming events
Hints on using the calendar, a grid view of the calendar and a view with past events is also available.
Topic
All
Artificial Intelligence / Machine Learning
Bioinformatics Software
Bulk RNA-Seq
Cancer
ChIP Seq
Clinical Research
Cloud
Data Management
Data Resources
Data Science
Drugs
Flow Cytometry
Genomics
Metabolomics
Natural Language Processing
NCI Genomic Data Commons
NIDAP
NIH High Performance Unix Cluster Biowulf
Omics
Pathway Analysis
Programming
Proteomics
Reproducible Research
Sequencing Technologies
Single Cell RNA SEQ
Single Cell Technologies
Statistics
Variant Analysis
Format
All
Class
Distinguished Speaker
Lecture
Seminar
Webinar
Workshop
Event Organizer
All
BTEP
BYOB
CBIIT
CDSL
Earl Stadtman Investigator Program
Frederick National Lab for Cancer Research (FNLCR), Advanced Biomedical Computational Science (ABCS)
HPC Biowulf
NCI
NCI Containers and Workflows Interest Group
NCI Data Science Learning Exchange
NCI SS/SC
NHGRI
NHLBI Proteomics Core
NIA
NIAID
NIH
NIH Common Fund
NIH HPC Biowulf
NIH Metabolomics Scientific Interest Group
NIH Office of Data Science Strategy (ODSS)
NIH STRIDES Initiative
NIH Training Library
Office of Cancer Clinical Proteomics Research
R Studio
Scientific Library at Frederick
Systems Biology Interest Group
Past & Future Events
All
Only Past Events
Only Future Events
march
02mar10:30 am1:00 pmBulk RNA-Seq Data Analysis in Partek Flow
Event Details
Register Participants will learn how to use the point-and-click interface in Partek Flow for RNA-Seq analysis to go from raw data to experimental results. By completing this session, attendees will
Event Details
Participants will learn how to use the point-and-click interface in Partek Flow for RNA-Seq analysis to go from raw data to experimental results. By completing this session, attendees will acquire a working knowledge of the tools available to NIH researchers for the start to finish RNA-Seq data analysis.
Time
(Tuesday) 10:30 am - 1:00 pm
Location
Online
Organizer
NIH Training LibraryNIH Training Library
03mar9:30 am10:30 amDeep Learning by Example on Biowulf - Class #1
Event Details
The class is free but registration is required. You can register at https://hpc.nih.gov/nih/classes/ This introductory course teaches the basics of deep learning and of different types of deep learning networks through
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Event Details
The class is free but registration is required.
You can register at https://hpc.nih.gov/nih/classes/
This introductory course teaches the basics of deep learning and of different types of deep learning networks through a set of hands-on biological examples implemented in Keras, one example per class. Class #1 will provide an introduction to the Deep Learning with Keras, and then focus on Convolutional Neural Networks as applied to semantic segmentation of bioimages.
Expected knowledge: Basic Python, Basic Linux/Unix
This class is part of a series, but each class is stand-alone. The class will be webcast.
Instructor: Gennady Denisov (NIH HPC staff)
Time
(Wednesday) 9:30 am - 10:30 am
Location
Online
Organizer
NIH HPC Biowulf
03mar1:00 pm2:00 pmVariant Selection in Genomics DNA Sequences
Event Details
Register This class introduces mutation types and how to identify the mutations from DNA sequences. Additionally, it describes resources to access information about the impact of variants on proteins associated
Event Details
This class introduces mutation types and how to identify the mutations from DNA sequences. Additionally, it describes resources to access information about the impact of variants on proteins associated with drug response guidelines. This class will help participants determine how to find solutions in the selection of variants, especially in clinical research.
Time
(Wednesday) 1:00 pm - 2:00 pm
Location
Online
Organizer
NIH Training LibraryNIH Training Library
04mar10:30 am1:00 pmSingle Cell RNA-Seq Data Analysis in Partek Flow
Event Details
Register Participants will learn how to identify cell populations and detect differentially expressed genes in a simple Single Cell RNA-Seq experiment with the point-and-click interface in Partek Flow. By completing
Event Details
Participants will learn how to identify cell populations and detect differentially expressed genes in a simple Single Cell RNA-Seq experiment with the point-and-click interface in Partek Flow. By completing this session, attendees will acquire a working knowledge of the tools available to NIH researchers for Single Cell RNA-Seq data analysis.
Time
(Thursday) 10:30 am - 1:00 pm
Location
Online
Organizer
NIH Training LibraryNIH Training Library
04mar2:00 pm3:00 pmSingle-cell RNA-Seq Analysis on NIDAP
Event Details
This course will teach you the basics of how to perform Single-cell RNA-Seq Analysis on NIDAP. The course consists of recorded lectures and video tutorials, with a live Discussion webinar
Event Details
This course will teach you the basics of how to perform Single-cell RNA-Seq Analysis on NIDAP. The course consists of recorded lectures and video tutorials, with a live Discussion webinar you will attend after completing the tutorials. Click here for Details & Registration
Time
(Thursday) 2:00 pm - 3:00 pm
Location
Online
05mar10:30 am1:00 pmATAC-Seq/ChIP-Seq Data Analysis in Partek Flow
Event Details
Register Participants will learn how to perform analysis for ATAC-Seq/ChIP-Seq data in Partek Flow. By completing this session, attendees will acquire a working knowledge of the tools available to NIH
Event Details
Participants will learn how to perform analysis for ATAC-Seq/ChIP-Seq data in Partek Flow. By completing this session, attendees will acquire a working knowledge of the tools available to NIH researchers for the start to finish ATAC-Seq/ChIP-Seq data analysis.
Time
(Friday) 10:30 am - 1:00 pm
Location
Online
Organizer
NIH Training LibraryNIH Training Library
Event Details
ZoomGov link for all the individual meetings and the seminar: https://nih.zoomgov.com/j/1619988709?pwd=dEIwM0ExOXFtSjNqd0xmcGJCVEk5QT09 Meeting ID: 161 998 8709 Passcode: 20892 Presenter: Cole Trapnell, Ph.D. Associate Professor Department of Genome Sciences University of Washington Please mark your calendars for our next
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Event Details
ZoomGov link for all the individual meetings and the seminar:
https://nih.zoomgov.com/j/1619988709?pwd=dEIwM0ExOXFtSjNqd0xmcGJCVEk5QT09
Meeting ID: 161 998 8709
Passcode: 20892
Presenter:
Cole Trapnell, Ph.D.
Associate Professor
Department of Genome Sciences
University of Washington
Please mark your calendars for our next seminar by Cole Trapnell. He is a familiar name to most genomics researchers, and he actually spent his early years in Maryland. Please note that we are returning to our afternoon time (seminar info below). There are a few openings for a one-on-one meeting with him after his talk. Let me know if you’d like one. Postdocs and students are welcome to join the fellows tea with the speaker right after his talk in the same zoom link as the talk (send me RSVP for my count).
Cole Trapnell developed many widely used bioinformatics tools including TopHat, Cufflinks, Bowtie, and Monocle. His group has also co-developed, along with Jay Shendure’s lab, a scalable workflow for single-cell genomics called “combinatorial cellular indexing”. They recently used this approach to construct a transcriptional atlas for the C. elegans nematode and profile organogenesis in the mouse at whole-embryo scale.
Myong-Hee Sung, Ph.D.
Earl Stadtman Investigator
Chief, Transcription Systems Dynamics and Biology Unit
Laboratory of Molecular Biology and Immunology
National Institute on Aging
NIH
251 Bayview Boulevard, Room 06C226
Baltimore, MD 21224
Office: 410-558-8475
email: sungm@mail.nih.gov
Time
(Tuesday) 2:00 pm - 3:00 pm
Location
Online
Organizer
Earl Stadtman Investigator Program
11mar2:00 pm3:00 amBulk RNA-Seq Analysis on NIDAP
Event Details
This course will teach you the basics of how to perform Bulk RNA-Seq Analysis on NIDAP. The course consists of recorded lectures and video tutorials, with a live Discussion webinar
Event Details
This course will teach you the basics of how to perform Bulk RNA-Seq Analysis on NIDAP. The course consists of recorded lectures and video tutorials, with a live Discussion webinar you will attend after completing the tutorials. Click here for Details & Registration
Time
(Thursday) 2:00 pm - 3:00 am
Location
Online
18mar1:00 pm2:00 amData Management and Sharing: Part 1
Event Details
Register This course provides detailed information on managing and sharing data from the first data planning stage, through the data life cycle, to data archiving, and finally to selecting an
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Event Details
This course provides detailed information on managing and sharing data from the first data planning stage, through the data life cycle, to data archiving, and finally to selecting an appropriate repository for data preservation. By the end of this course, participants will have an understanding of data management best practices, data management tools, and resources that enable data sharing.
This is an introductory two-part course for those who want to learn about research data management and sharing, or for those who are interested in a refresher. Part 1 of this training will cover understanding research data, how to manage research data, and how to work with data. Audience: Researchers, fellows, post-docs, and trainees. You must register separately for Part 2 of this class.
Time
(Thursday) 1:00 pm - 2:00 am
Location
Online
Organizer
NIH Training LibraryNIH Training Library
18mar2:00 pm3:00 pmSingle-cell RNA-Seq Analysis on NIDAP
Event Details
This course will teach you the basics of how to perform Single-cell RNA-Seq Analysis on NIDAP. The course consists of recorded lectures and video tutorials, with a live Discussion webinar
Event Details
This course will teach you the basics of how to perform Single-cell RNA-Seq Analysis on NIDAP. The course consists of recorded lectures and video tutorials, with a live Discussion webinar you will attend after completing the tutorials. Click here for Details & Registration
Time
(Thursday) 2:00 pm - 3:00 pm
Location
Online
19mar1:00 pm2:00 pmData Management and Sharing: Part 2
Event Details
Register This course provides detailed information on managing and sharing data from the first data planning stage, through the data life cycle, to data archiving, and finally to selecting an
more
Event Details
This course provides detailed information on managing and sharing data from the first data planning stage, through the data life cycle, to data archiving, and finally to selecting an appropriate repository for data preservation. By the end of this course, participants will have an understanding of data management best practices, data management tools, and resources that enable data sharing.
This is an introductory two-part course for those who want to learn about research data management and sharing, or for those who are interested in a refresher. During Part 2 of this training, participants will learn about sharing and archiving data. Audience: Researchers, fellows, post-docs, and trainees. You must register separately for Part 1 of this class.
Time
(Friday) 1:00 pm - 2:00 pm
Location
Online
Organizer
NIH Training LibraryNIH Training Library
24mar11:00 am12:00 pmIntroduction to Artificial Intelligence and Machine Learning
Event Details
Register Artificial Intelligence (AI) and Machine Learning (ML) are hot topics today, but are already part of our everyday lives. This class will introduce the basic principles of AI and
Event Details
Artificial Intelligence (AI) and Machine Learning (ML) are hot topics today, but are already part of our everyday lives. This class will introduce the basic principles of AI and ML and the current state of this field. The instructor will share examples of AI used in common applications and health research. AI limitations and ethical considerations will also be discussed. This course is designed for individuals new to the topic or for those who need a refresher.
Time
(Wednesday) 11:00 am - 12:00 pm
Location
Online
Organizer
NIH Training LibraryNIH Training Library
25mar2:00 pm3:00 pmBulk RNA-Seq Analysis on NIDAP
Event Details
This course will teach you the basics of how to perform Bulk RNA-Seq Analysis on NIDAP. The course consists of recorded lectures and video tutorials, with a live Discussion webinar
Event Details
This course will teach you the basics of how to perform Bulk RNA-Seq Analysis on NIDAP. The course consists of recorded lectures and video tutorials, with a live Discussion webinar you will attend after completing the tutorials. Click here for Details & Registration
Time
(Thursday) 2:00 pm - 3:00 pm
Location
Online
april
14apr10:00 am3:00 pmIngenuity Pathway Analysis (IPA)
Event Details
Register Session Description Learn how to get started on using QIAGEN’s Ingenuity Pathway Analysis (IPA) to quickly identify biological relationships, mechanisms, pathways, functions and diseases most relevant to experimental datasets. IPA
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Event Details
Session Description
Learn how to get started on using QIAGEN’s Ingenuity Pathway Analysis (IPA) to quickly identify biological relationships, mechanisms, pathways, functions and diseases most relevant to experimental datasets. IPA is cited in tens of thousands of peer-reviewed articles. The class will demonstrate how to explore IPA’s knowledge & discovery tools to relate the most recent literature findings to your research. The demo session will mainly focus on biological interpretation of expression data but will also cover multi-omics analysis including variant data and phosphoproteomics.
Getting Started: fundamentals of IPA; overview of key features; search & pathway building; advanced search; building & editing pathways; using Build & Overlay tools. Dataset Analysis: data upload & analysis; interpretation of gene, transcript, protein & metabolite data; pathway analysis & canonical pathways; downstream effects & interpreting the heat map; causal regulators and their directional effect on genes, functions and diseases across multiple time points or doses; interpreting networks; comparison & multiple observations analysis; miRNA and isoform analysis; BioProfiler: define relationships between molecule activity and diseases/processes in the literature. Q & A session: A QIAGEN Ingenuity Field Applications Scientist will be available to answer individual questions or discuss specific projects.
Time
(Wednesday) 10:00 am - 3:00 pm
Location
Online
Organizer
NIH Training LibraryNIH Training Library
19apr10:00 am11:00 amANIMAL MODEL AND MODEL ORGANISM INFORMATION RESOURCES
Event Details
Registration Session Description Animal models are used to study the development and progression of diseases and to test new treatments. Model organisms are a subset of research organisms that serve as
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Event Details
Session Description
Animal models are used to study the development and progression of diseases and to test new treatments. Model organisms are a subset of research organisms that serve as a proxy for understanding human biology. This introductory class will cover techniques on locating biomedical research articles, patents, NIH-funded research projects, genetic information, and print and electronic books related to animal models and model organisms. The class will also discuss the differences between animal models, research organisms, and model organisms, and will review requirements and resources for the NIH Model Organism Sharing Policy.
Time
(Monday) 10:00 am - 11:00 am
Location
Online
Organizer
NIH Training LibraryNIH Training Library
21apr10:00 am12:00 pmEXPRESSION AND VARIANT DATA ANALYSIS WITH CLC GENOMICS WORKBENCH
Event Details
Registration Session Description QIAGEN’s CLC Genomics Workbench enables researchers to analyze NGS data without the use of command line and is a powerful tool for determining differential expression and for variant
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Event Details
Session Description
QIAGEN’s CLC Genomics Workbench enables researchers to analyze NGS data without the use of command line and is a powerful tool for determining differential expression and for variant calling. In this workshop students will explore the usage of CLC Genomics Workbench for taking raw NGS data and performing QC, processing, statistical analyses, and visualizations. The first part of the training will focus on the identifying differentially expressed genes from RNA-seq and how those results can be passed to Ingenuity Pathway Analysis (IPA) for biological interpretation. The second half of the training will provide insight into analysis of DNA-seq data for variant detection and will introduce how Ingenuity Variant Analysis (IVA) can be used to prioritize those variant findings.
Time
(Wednesday) 10:00 am - 12:00 pm
Location
Online
Organizer
NIH Training LibraryNIH Training Library
27apr1:00 pm2:30 pmGENOME BROWSER
Event Details
Register Session Description This course walks through using and applying two popular, freely available genome browsers and how they can help bioinformatics analysis: the University of California Santa Cruz (UCSC) Genome
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Event Details
Session Description
This course walks through using and applying two popular, freely available genome browsers and how they can help bioinformatics analysis: the University of California Santa Cruz (UCSC) Genome Browser and the Integrative Genomics Viewer (IGV). Used to view the assembly of the complete genome in human or other species, these browsers are valuable tools for identifying and localizing genes/mutations. This course will demonstrate how to view different genome maps/tracks and make best use of them.
Feel free to install the IGV browser in advance from here – https://software.broadinstitute.org/software/igv/download(link is external) (the UCSV browser is web browser based).
Time
(Tuesday) 1:00 pm - 2:30 pm
Location
Online
Organizer
NIH Training LibraryNIH Training Library
28apr10:00 am12:00 pmMETAGENOMIC AND DE-NOVO SEQUENCING ANALYSIS USING CLC GENOMICS WORKBENCH
Event Details
Register Session Description QIAGEN’s CLC Genomics Workbench enables researchers to analyze Next Generation Sequencing (NGS) data without the use of command line and is a powerful tool for processing microbial data.
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Event Details
Session Description
QIAGEN’s CLC Genomics Workbench enables researchers to analyze Next Generation Sequencing (NGS) data without the use of command line and is a powerful tool for processing microbial data. In this workshop students will explore how the Microbial Genomics Module can be utilized for taxonomic profiling of sample microbiomes using both amplicon and whole metagenome sequencing data, including generating statistical results and visualizations. The workflows for de-novo genome assembly and annotation will also be presented.
Time
(Wednesday) 10:00 am - 12:00 pm
Location
Online
Organizer
NIH Training LibraryNIH Training Library
may
No Events