Topic Bioinformatics Software
Topic
All
Artificial Intelligence / Machine Learning
Bioinformatics Software
Biowulf
Bulk RNA-Seq
Cancer
ChIP Seq
Clinical Research
Cloud
COVID19
Data Management
Data Resources
Data Science
Drugs
Flow Cytometry
Genomics
Image Analysis
Metabolomics
Microbiome
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
Spatial Transcriptomics
Statistics
Variant Analysis
Format
All
Class
Distinguished Speaker
Lecture
Seminar
Webinar
Workshop
Event Organizer
All
BTEP
BYOB
Cancer Moonshot
CBIIT
CCR Neuro-Oncology Branch
CDSL
Data Science Learning Exchange
Earl Stadtman Investigator Program
FNL Science and Technology Group
Frederick National Lab for Cancer Research (FNLCR), Advanced Biomedical Computational Science (ABCS)
HPC Biowulf
NCI
NCI and the Society for Immunotherapy of Cancer (SITC)
NCI CCR Liver Cancer Program
NCI Containers and Workflows Interest Group
NCI Data Science Learning Exchange
NCI SS/SC
NHGRI
NHLBI
NHLBI Proteomics Core
NIA
NIAID
NIDA
NIDCR
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
OSTR/CCR
R Studio
Scientific Library at Frederick
Single Cell Users Group
Systems Biology Interest Group
Past & Future Events
All
Only Past Events
Only Future Events
july
07jul10:30 am12:00 pmSINGLE CELL RNA-SEQ DATA ANALYSIS IN PARTEK FLOW
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
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
(Wednesday) 10:30 am - 12:00 pm
Location
Online
Organizer
NIH Training LibraryNIH Training Library
14jul10:30 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
(Wednesday) 10:30 am - 12:00 pm
Location
Online
Organizer
NIH Training LibraryNIH Training Library
