Topic Single Cell RNA-Seq
Topic
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Artificial Intelligence / Machine Learning
Bioinformatics Software
Bulk RNA-Seq
Cancer
Data Resources
Data Science
Drugs
Natural Language Processing
NCI Genomic Data Commons
NIDAP
NIH High Performance Unix Cluster Biowulf
Omics
Pathway Analysis
Programming
Reproducible Research
Sequencing Technologies
Single Cell RNA-Seq
Statistics
Variant Analysis
Format
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Class
Distinguished Speaker
Lecture
Seminar
Webinar
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BTEP
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CBIIT
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NCI Data Science Learning Exchange
NCI Staff Scientists
NIA
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NIH STRIDES Initiative
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Scientific Library at Frederick
Past & Future Events
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Only Future Events
october
05oct10:00 am11:00 amGaussian mixture model (GMM) and Latent Dirichlet Allocation (LDA)
Event Details
https://cbiit.webex.com/recordingservice/sites/cbiit/recording/play/52ad020326ee4c858f0a09b35247478a
Time
(Monday) 10:00 am - 11:00 am
Organizer
NCI Staff Scientists
08oct2:00 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
22oct2:00 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
november
02nov10:30 am12:00 pmCITE-Seq Data Analysis in Partek Flow
Event Details
Attendees will learn how to use Partek Flow to identify cell subtypes using both gene and protein expression in a peripheral blood mononuclear cell (PBMC) sample using Cellular Indexing of
more
Event Details
Attendees will learn how to use Partek Flow to identify cell subtypes using both gene and protein expression in a peripheral blood mononuclear cell (PBMC) sample using Cellular Indexing of Transcriptomes and Epitopes by Sequencing (CITE-Seq) technology. CITE-Seq is a multimodal single cell phenotyping method. CITE-Seq data analysis starts with importing a count matrix file, followed by QC and filtering data. Clustering analysis and dimension reduction techniques are then used to visualize and identify subtypes of cells. Differential expression detection among different subtypes will be demonstrated, followed by Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. Basic knowledge of Partek Flow is required.
Time
(Monday) 10:30 am - 12:00 pm
Location
Online
Organizer
NIH Training LibraryNIH Training Library
Event Details
Register Overview: Characterizing the transcriptomic profiles of individual cells by single-cell RNA sequencing (scRNA-seq) has become a universal tool to identify both known and novel cell populations, ushering science in a new era
more
Event Details
Overview:
Characterizing the transcriptomic profiles of individual cells by single-cell
RNA sequencing (scRNA-seq) has become a universal tool to identify
both known and novel cell populations, ushering science in a new era of
single cell biology. However, scRNA-seq utilizes dissociated cells with
results in the loss of spatial organization of the cell population being
analyzed.
It is therefore essential to complement scRNA-seq analysis with
RNAscope in situ hybridization (ISH) in order to obtain visual
confirmation of both single cell and spatial gene expression.
In this webinar, Dr. Ariel Levine from NIH NINDS will share her latest
publication using RNAscope HiPlex assay, to reveal spinal cord cell type
organization, validate a combinatorial set of markers for in-tissue spatial
gene expression analysis, and optimize the computational classification
Presented by:
Ariel Levine, Ph.D.
Earl Stadtman Investigator
National Institute of Neurological Disorders and Stroke
Time
(Thursday) 1:00 pm - 2:00 pm
Location
Online
05nov2:00 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
12nov10:30 am12:00 pmSpatial Transcriptomics and Trajectory Analysis with Partek Flow
Event Details
During the first part of the session attendees will learn how to use Partek Flow to perform special transcriptions by overlaying cell location information and histological images on single cell
Event Details
During the first part of the session attendees will learn how to use Partek Flow to perform special transcriptions by overlaying cell location information and histological images on single cell RNA-Seq data using 10X genomics data. During the second part of the session, attendees will learn how to run trajectory analysis and calculate pseudo-time.
Time
(Thursday) 10:30 am - 12:00 pm
Location
Online
Organizer
NIH Training LibraryNIH Training Library
19nov2:00 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
december
10dec1:00 pm2:00 pmStrategies and Methods in scRNA-seq Data Analysis
Event Details
Register Single cell sequencing has reopened the definition of a cell’s identity and the ways in which that identity is regulated by the cell’s molecular circuitry. Learn the types of
Event Details
Single cell sequencing has reopened the definition of a cell’s identity and the ways in which that identity is regulated by the cell’s molecular circuitry. Learn the types of studies that are well suited for single cell sequencing analysis as well as how to design a single cell experiment. This session will also walk through the steps of a Single Cell RNA-Sequence (scRNA-seq) processing, common analysis strategies, and state-of-the-art analysis methods using R.
Time
(Thursday) 1:00 pm - 2:00 pm
Location
Online
Organizer
NIH Training LibraryNIH Training Library
