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BIOF 048 | Single Cell RNA-seq Analysis

April 5, 2021 to April 9, 2021

ONLINE

REGISTRATION IS CLOSED.
CLICK HERE TO BE ADDED TO THE WAITLIST

Registration occurs on a first-come, first-served basis. Programs are open to general public. The deadline for registration is one week before the first day of the course.  If you are unable to register before the deadline, please email: registrar@faes.org or call 301-496-7975 for space availability. 

NIH Fellows or NIH community members being sponsored by their lab and awaiting payment authorization can tentatively hold a seat using the “Reserve A Seat” option. Payments need to be received within 7 business days from date of reservation or before the start of a workshop, whichever comes first. Seat reservations will be cancelled if payment is not received prior to workshop.

Live sessions on April 5, 7, 8, 9, 2021; No live sessions on April 6. Live sessions generally run from 9:00am - 5:00pm.

Course Overview
Bulk transcriptomes have provided considerable insights and fostered the discovery and characterization of GRN (Gene Regulatory Network)s. However, bulk transcriptomes provide population-based averaged measurements which blur cell heterogeneity and developmental dynamics of asynchronous cell populations. Single-cell transcriptome technologies (scRNA-seq) capture cell heterogeneity and thus are useful for the discovery of cell populations, identification of cell mutants, and quantification of subpopulations. Leveraging on the ability of generating thousands of individual measurements from scRNA-seq, lots of methods have been developed to capture spatial or temporal information from cell populations. This course will introduce basic steps of the scRNA-seq processing, starting from fastq coming off 10x sequencer to spatial and temporal analysis using popular R packages. Then, we will discuss case studies that can be addressed using scRNA-seq.

Pre-requisite
Experience with R is required; experience with seq analysis in general is advantageous

Simultaneous access to two screens is highly recommended for adequate learning experience. Examples include two laptops, one computer with two screens, one laptop and one tablet, etc.

Introductory R workshops
BIOF 017 | Introductory R Boot Camp
BIOF 043 | For True BeginRs

Training Rate
$1,315.00

Discounted Training Rates
$1,075.00 - NIH Community (Trainees, Employees, Contractors, Volunteers, etc.)
$1,195.00 - Academia, US Government, US Military

Technology Fee
$60.00

Comprehensive File
A PDF file containing all notes, protocols, and reference material will be provided. No additional books are required. 

Credit
Although no grades are given for courses, each participant will receive Continuing Education Units (CEUs) based on the number of contact hours.   One CEU is equal to ten contact hours. Upon completion of the course each participant will receive a certificate, showing completion of the workshop and 2.8 CEUs.

Refund Policy
100% tuition refund for registrations cancelled 14 or more calendar days prior to the start of the workshop.
50% tuition refund for registrations cancelled between 4 to 13 calendar days prior to the start of the workshop.
No refund will be issued for registrations cancelled 3 calendar days or less prior to the start of the workshop.

Notification
All cancellations must be received in writing via email to Ms. Carline Coote at registrar@faes.org.
Cancellations received after 4:00 pm (ET) on business days or received on non-business days are time marked for the following business day. 
All refund payments will be processed by the start of the initial workshop.

 

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