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UID:4de65764e2b8da71c539eaff044ef294
CATEGORIES:Enseignements
SUMMARY:Analysis of NGS Data for Mendelian Traits
LOCATION:Berlin, Germany
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:\n\nIdentifying Genes for Mendelian Traits using Next Generation Sequence D
 ata\nSeptember 18-22, 2017\nMax Delbrück Center (MDC) for Molecular Medicin
 e\nBerlin, Germany\nThe Identifying Genes for Mendelian Traits using Next G
 eneration Sequence Data Course will be held at the MDC in Berlin from Septe
 mber 18-22, 2017. The goal of the course is to teach the course participant
 s both theory and application of methods to identify pathogenic variants/ge
 nes for Mendelian diseases/traits using filtering methods, homozygosity map
 ping and linkage analysis.\nEmphasis in this course is on strategies for ge
 ne mapping and variant/gene identification for Mendelian Traits. It will in
 clude theory as well as practical exercises. The exercises will be carried 
 out using a variety of computer programs (e.g. Gemini, GeneHunter, GERP, Ho
 mozygosity Mapper, Integrative Genome Viewer, MERLIN, PhlyoP, Polyphen, SEQ
 Linkage, Variant Mendelian Tools,). Topics which will be covered at the cou
 rse include: study design; linkage analysis and homozygosity mapping using 
 genotype array and next generation sequence data (exome and whole genome), 
 haplotype reconstruction, evaluating pedigree informativeness and power to 
 detect linkage, vcf file annotation; generation of NGS data; identification
  of causal variants using filter approaches, variant annotation, evaluation
  of deleterious effects of variants and their functionality. The organizers
  and instructors for the course are Suzanne Leal (Baylor College of Medicin
 e) and Michael Nothnagel (University of Cologne).\nApplication Deadline Jun
 e 12st, 2017\nFor a schedule, application form and additional information p
 lease visit the course webpage.\nhttps://statgen.research.bcm.edu/index.php
 /NGSMendelian2017\n
DTSTAMP:20260410T091650Z
DTSTART;TZID=Europe/Paris;VALUE=DATE:20170918
DTEND;TZID=Europe/Paris;VALUE=DATE:20170923
SEQUENCE:0
TRANSP:OPAQUE
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