Thank you Mark!
Best,
Tracy
Director of Production, LabRoots
Tracy Salcido | Tracy.Salcido@LabRoots.com
Office 714.930.3518
-----Original Message-----
From: Mark Gerstein [mailto:mark@gersteinlab.org]
Sent: Friday, May 05, 2017 10:24 AM
To: Tracy Salcido <tracy.salcido@labroots.com>; Tiffany McGladdery <tiffany.mcgladdery@labroots.com>
Cc: glabstracts.mbglab@blogger.com
Subject: Abstract for talk at LabRoots 2017 Genetics and Genomics Event (i0labroots17)
Transcriptome Analysis:
Tackling core issues related to regulation & also mining the "data exhaust" of this activity
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.
http://papers.gersteinlab.org/papers/dreiss
http://papers.gersteinlab.org/papers/orthoclust
http://papers.gersteinlab.org/papers/privaseq
http://papers.gersteinlab.org/papers/loregic
Friday, May 5, 2017
Abstract for talk at LabRoots 2017 Genetics and Genomics Event (i0labroots17)
Transcriptome Analysis:
Tackling core issues related to regulation & also mining the "data
exhaust" of this activity
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.
http://papers.gersteinlab.org/papers/dreiss
http://papers.gersteinlab.org/papers/orthoclust
http://papers.gersteinlab.org/papers/privaseq
http://papers.gersteinlab.org/papers/loregic
Tackling core issues related to regulation & also mining the "data
exhaust" of this activity
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.
http://papers.gersteinlab.org/papers/dreiss
http://papers.gersteinlab.org/papers/orthoclust
http://papers.gersteinlab.org/papers/privaseq
http://papers.gersteinlab.org/papers/loregic
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