遗传与发育协同创新中心统计基因组学讲习班(2015)开班

发布时间:2015-06-09浏览次数:3728

时间:2015年6月24-28日(23日全天报到)

地点:复旦大学江湾校区,提供午餐,其他自理

参加方式:请填写报名回执表后发送申请到会议邮箱:genomics2015@163.com

 

报名回执表下载:

/Assets/userfiles/sys_4b0b77af-788b-419d-b0be-a42e00eec678/files/%e6%9a%91%e6%9c%9f%e5%ad%a6%e6%a0%a1%e8%ae%b2%e4%b9%a0%e7%8f%ad%e6%8a%a5%e5%90%8d%e5%9b%9e%e6%89%a7(1).docx

 

报告人:

Dr. Terence Paul Speed,澳大利亚Walter & Eliza Hall Institute of Medical Research生物信息学系主任,教授美国加州大学伯克利分校统计系退休教授伦敦皇家学院院士

Dr. Andrew E. Teschendorf,上海马普计算生物所教授,伦敦大学癌症研究中心研究员

王文漪博士,美国德克萨斯大学MD Anderson癌症中心生物信息和计算生物学系、生物统计系助理教授

 

课程表及讲者课程简介下载:

/课程表和课程简介.docx

 

Statistical Genomics Workshop

 

Lecturers:

TPS: Terence Paul Speed (UC Berkeley & WEHI)

WW: Wenyi Wang (UT MD Anderson Cancer Center)

AT: Andrew Teschendorff (UCL & CAS-MPG PICB)

 

Day 1 (6/24): Statistical methods for analysis of whole-transcriptome data.

 

9:30-10:30: Removing unwanted variation (TPS)

10:45-11:45: Removing unwanted variation from RNA-seq data (TPS)

Lunch break

1:30-2:30: Normalizing large, heterogeneous datasets in the omics (TPS)

2:45-3:45: Deconvolution of mixed transcriptomes from tumor samples (WW)

 

Day 2 (6/25): Statistical methods for variant calling in high-throughput sequencing data.

9:30-10:30: Challenges in rare variant calling, what we learned from targeted sequencing studies. (WW)

10:45-11:45: Family-based analysis for calling rare variant in DNA sequencing data (WW)

Lunch break

1:30-2:30: Comparing mutation callers (TPS)

2:45-3:45: Combining mutation callers (TPS)

 

Day 3 (6/26). Statistical methods for personalized risk assessment in inherited cancer syndromes.

9:30-10:30: Mendelian models. (WW)

10:45-11:45: Challenges in application of Mendelian models to various cancer types. (WW)

Lunch break

12:30-3:00 Lab workshop on two software packages: BayesMendel, and FamSeq (WW)

 

Day 4 (6/27). Statistical Epigenomics

9:30-10:30: Intra-and inter-sample normalization of Illumina 450k data. (AT)

10:45-11:45: Correction for cellular heterogeneity using devonvolution tools

Lunch break. (AT)

1:30-2:30: General feature selection strategies for EWAS and Cancer Epigenome studies. (AT)

 

Day 5 (6/28). Statistical Epigenomics

9:30-10:30: Dimensional reduction and clustering of DNA methylation data. (AT)

10:45-11:45: Integration of DNA methylation and gene expression data. (AT)

End of the workshop

 

Software and links:

 

  1. Terry Speed: http://www.wehi.edu.au/people/terry-speed
  2. Andrew Teschendorff: https://www.ucl.ac.uk/cancer/rescancerbiol/statisticalgenomics

For the summer workshop: http://www.picb.ac.cn/compsysg/

  1. Wenyi Wang: http://odin.mdacc.tmc.edu/~wwang7/

 

Software:

FamSeq: http://bioinformatics.mdanderson.org/main/FamSeq

BayesMendel: http://bcb.dfci.harvard.edu/bayesmendel/