MAY 11, 2017 6:00 AM PDT

Transcriptome Analysis; Tackling core issues related to regulation & also mining the "data exhaust" of this activity

C.E. Credits: CEU
Speaker
  • Albert L. Williams Professor of Biomedical Informatics, Co-Director, Yale Computational biology and Bioinformatics Program, Yale University
    BIOGRAPHY

Abstract

In this seminar, I will discuss issues in transcriptome analysis. I will first talk about core aspects - how we analyze the activity patterns of genes in model organisms and humans. I will focus on how we cluster these patterns together, finding conserved modules across species, and then, how we analyze the regulation of these modules, whether their dynamics is determined internally or involves an external control. Finally, I will talk about how one can decompose this regulation into simple logic gates, such as those seen in electronic circuits (e.g., and/or), and how one finds a different type of gate in the natural functioning of cells than in the dis-regulated activity evident in cancer. In the second half of the talk, I will look at some of the data exhaust from transcriptome analysis. That is, how one can find additional things from this data than what is necessarily intended. I will focus on genomic privacy: How looking at the quantifications of expression levels can potentially reveal something about the subjects studied, and how one can take steps to protect patient anonymity.


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MAY 11, 2017 6:00 AM PDT

Transcriptome Analysis; Tackling core issues related to regulation & also mining the "data exhaust" of this activity

C.E. Credits: CEU


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