Difference between revisions of "ComplexNGS2021"

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(Complex Trait Analysis of Next Generation Sequence Data Course)
(Complex Trait Analysis of Next Generation Sequence Data Course)
 
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The cost of the 5-day course is 975 EUR for researchers from an academic institution, and 1,950 EUR for individuals from private (for profit) companies. This fee covers tuition, Monday evening wine and cheese party, and course-related expenses (handouts, etc.) but not room, board, or meals. Inexpensive housing is available for course participants at the MDC and nearby hotels.
 
The cost of the 5-day course is 975 EUR for researchers from an academic institution, and 1,950 EUR for individuals from private (for profit) companies. This fee covers tuition, Monday evening wine and cheese party, and course-related expenses (handouts, etc.) but not room, board, or meals. Inexpensive housing is available for course participants at the MDC and nearby hotels.
  
The organizers and instructors for the course are Suzanne Leal (Columbia University) and Michael Nothnagel (University of Cologne).
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The instructors for the course are Suzanne Leal (Columbia University) and Michael Nothnagel (University of Cologne).
  
 
Vaccination is mandatory to attend the course.
 
Vaccination is mandatory to attend the course.
  
Application Deadline September 15, 2021
 
  
 
For additional information on the Complex Trait Analysis of NGS Data Course please contact [mailto:suzannemleal@gmail.com?subject=Complex%20Trait%20Analysis%20Course%20Berlin%202019 Suzanne Leal]:
 
For additional information on the Complex Trait Analysis of NGS Data Course please contact [mailto:suzannemleal@gmail.com?subject=Complex%20Trait%20Analysis%20Course%20Berlin%202019 Suzanne Leal]:

Latest revision as of 15:50, 22 September 2021

Complex Trait Analysis of Next Generation Sequence Data Course

November 22-26, 2021
Max Delbrück Center (MDC) for Molecular Medicine
Berlin, Germany



The sixth annual Berlin Complex Trait Analysis of Next Generation Sequence Data Course will be held at the MDC in Berlin from November 22-26, 2021. The goal of the course is to teach both the theory and application of methods to analyze next-generation sequence (NGS) data for human complex traits. Attendees will learn how to design studies, call variants from NGS data, analysis of population and family-based sequence data, and evaluation of variant functionality. Analyses will include performing complex trait rare variant association analysis for population and family data via linear mixed models. Exercises will be carried out using a variety of computer programs that include ANNOVAR, BOLT-LMM, FAST-GWA, IGV, R, REGENIE, PSEQ, & Variant Association Tools (VAT).

TOPICS will include sequence alignment, calling variants from NGS data, quality control of NGS data, association testing framework for quantitative and qualitative traits (fixed effects, random effects, and generalized linear mixed models and linear mixed models), rare variant association methods, polygenic risk scores, estimating power and sample size for rare variant association studies, imputation of rare variants and their analysis, and evaluating variant conservation and functionality.

The cost of the 5-day course is 975 EUR for researchers from an academic institution, and 1,950 EUR for individuals from private (for profit) companies. This fee covers tuition, Monday evening wine and cheese party, and course-related expenses (handouts, etc.) but not room, board, or meals. Inexpensive housing is available for course participants at the MDC and nearby hotels.

The instructors for the course are Suzanne Leal (Columbia University) and Michael Nothnagel (University of Cologne).

Vaccination is mandatory to attend the course.


For additional information on the Complex Trait Analysis of NGS Data Course please contact Suzanne Leal: Email: suzannemleal@gmail.com


Click here for course schedule
Click here for the application form
Click here for course flyer (please post and distribute)
Click here for maps and directions to the MDC
Click here for the information on MDC Housing

Click here for Berlin tourist information