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march, 2018

27mar12:00 pm1:00 pmAccounting for bias and systematic error in ChIP-seq quantification12:00 pm - 1:00 pm EST Duncan Reid conference room Lecturer: Mingxiang Teng Event Category:Invited talk,Statistics and machine learning

Event Details

High-throughput sequencing technologies have been widely used in modern genomics studies. Due to experimental/technical issues, diverse sources of biases can be introduced into the sequencing data and subsequently disturb the downstream analysis. In the talk, I will use ChIP-seq as an example to demonstrate how we improved the downstream analysis by accounting for biases. I will discuss the effects of GC-content bias in large ChIP-seq datasets and our proposed statistical method to account for this bias in protein binding quantification. 


(Tuesday) 12:00 pm - 1:00 pm EST


Duncan Reid conference room

75 Francis Street


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