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

       
      Mark Gerstein is the Albert L Williams professor of Biomedical Informatics at Yale University. He is co-director the Yale Computational Biology and Bioinformatics Program, and has appointments in the Department of Molecular Biophysics and Biochemistry and the Department of Computer Science. He received his AB in physics summa cum laude from Harvard College and his PhD in chemistry from Cambridge. He did post-doctoral work at Stanford and took up his post at Yale in early 1997. Since then he has published appreciably in scientific journals. He has >400 publications in total, with a number of them in prominent journals, such as Science, Nature, and Scientific American. (His current publication list is at http://papers.gersteinlab.org .) His research is focused on bioinformatics, and he is particularly interested in large-scale integrative surveys, biological database design, macromolecular geometry, molecular simulation, human genome annotation, gene expression analysis, and data mining. 
       
       

    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.


    Show Resources
    You May Also Like
    MAY 11, 2021 10:00 AM PDT
    Add to Calendar Select one of the following: iCal Google Calendar Outlook Calendar Yahoo Calendar
    C.E. CREDITS
    MAY 11, 2021 10:00 AM PDT
    Add to Calendar Select one of the following: iCal Google Calendar Outlook Calendar Yahoo Calendar
    Date: May 11, 2021 Time: 10:00zm PDT Your samples are some of the most valuable assets in the laboratory. After spending countless hours on extraction and preparation, your conclusions could...
    JUN 09, 2021 7:00 AM PDT
    Add to Calendar Select one of the following: iCal Google Calendar Outlook Calendar Yahoo Calendar
    C.E. CREDITS
    JUN 09, 2021 7:00 AM PDT
    Add to Calendar Select one of the following: iCal Google Calendar Outlook Calendar Yahoo Calendar
    Date: June 9, 2021 Time: 09 June 2021, 7am PDT, 10am EDT, 4pm CEST cells with dramatic implications on the validity of past cell culture related research. The fact that at least 509 cell lin...
    DEC 02, 2020 8:00 AM PST
    C.E. CREDITS
    DEC 02, 2020 8:00 AM PST
    DATE: December 2nd, 2020 TIME: 08:00am PDT, 11:00pm EDT Bioreactors and shakers are used to cultivate microorganisms, plant, insect, and mammalian cells in different volumes. Upscaling of pr...
    NOV 16, 2020 8:00 AM PST
    C.E. CREDITS
    NOV 16, 2020 8:00 AM PST
    Date: November 16, 2020 Time: 8:00am (PST), 11:00am (EST) CRISPR screening has become the prime discovery tool in modern biomedical research and drug discovery. At the same time, most screen...
    DEC 16, 2020 8:00 AM PST
    C.E. CREDITS
    DEC 16, 2020 8:00 AM PST
    Date: December 16, 2020 Time: 8:00am (PST), 11:00am (EST) Molecular imaging of living specimens offers a means to draw upon the growing body of high-throughput molecular data to better under...
    APR 21, 2021 5:00 PM CEST
    APR 21, 2021 5:00 PM CEST
    Date: April 21, 2021 Time: 8:00am (PDT), 11:00am (EDT), 5:00pm (CEST) Spatial Answers Trilogy - Spatial Answers in Immunology Immunology Researchers share their Spatial Discoveries in SARS-C...
    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

    Specialty

    Bioinformatics

    Dna Sequencing

    Cell Culture

    Gene Sequencing

    Cancer Research

    Biomarkers

    Dna

    Biotechnology

    Drug Discovery

    Gene Expression

    Cancer Diagnostics

    Laboratory Testing

    Oncology

    Diagnostics

    Infectious Disease

    Geography

    Asia50%

    Europe50%

    Registration Source

    Website Visitors100%

    Job Title

    Student50%

    Medical Doctor/Specialist50%

    Organization

    Academic Institution100%


    Show Resources
    Loading Comments...
    Show Resources
    Attendees
    • See more