Speaker Articles

 

Take a look at what some of our invited speakers and organizers have published recently and chat with them about their work in Berkeley, California at our symposium.

Keynote Speakers
Brendan Frey, University of Toronto, Canada
Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning.

Eva Nogales,
University of California Berkeley, USA
Visualizing microtubule structural transitions and interactions with associated proteins. 
Cryo-EM: A Unique Tool for the Visualization of Macromolecular Complexity

Speakers

Genevera Allen, Rice University, USA
Local-aggregate modeling for big data via distributed optimization: Applications to neuroimaging.

Atul Butte,
University of California San Francisco, USA
Translating a Trillion Points of Data into Therapies, Diagnostics, and New Insights into Disease
 
ZeitZeiger: supervised learning for high-dimensional data from an oscillatory system. 
Robust meta-analysis of gene expression using the elastic net. 

Howard Chang,
Stanford University, USA
RNA Duplex Map in Living Cells Reveals Higher-Order Transcriptome Structure

Joseph Ecker,
Salk Institute, USA
Cistrome and Epicistrome Features Shape the Regulatory DNA Landscape

Molly He,
Illumina, USA
DNA sequencing using polymerase substrate-binding kinetics.

Trey Ideker,
University of California San Diego, USA
Methylome-wide Analysis of Chronic HIV Infection Reveals Five-Year Increase in Biological Age and Epigenetic Targeting of HLA
Translation of Genotype to Phenotype by a Hierarchy of Cell Subsystems

Doug Lauffenburger,
MIT, USA
Physiome-on-a-Chip: The Challenge of "Scaling" in Design, Operation, and Translation of Microphysiological Systems.

Garry Nolan,
Stanford University, USA
Mass Cytometry: Single Cells, Many Features 
Data-Driven Phenotypic Dissection of AML Reveals Progenitor-like Cells that Correlate with Prognosis

Lea Starita
, University of Washington, USA
Deep Mutational Scanning: A Highly Parallel Method to Measure the Effects of Mutation on Protein Function. 
Deep Mutational Scanning: Calculating Enrichment Scores for Protein Variants from DNA Sequencing Output Files. 
Deep Mutational Scanning: Library Construction, Functional Selection, and High-Throughput Sequencing.

Judith Zaugg
, EMBL, Germany
SNPhood: investigate, quantify and visualise the epigenomic neighbourhood of SNPs using NGS data.

Organizers

Nevan Krogan, University of California San Francisco, USA& Trey Ideker, University of California San Diego, USA
The Cancer Cell Map Initiative: Defining the Hallmark Networks of Cancer

Nevan Krogan,
University of California San Francisco, USA
Comparative mapping of host-pathogen protein-protein interactions.

Timothy Lu,
MIT, USA
Putting Non-coding RNA on Display with CRISPR 
Engineering Modular Viral Scaffolds for Targeted Bacterial Population Editing

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Supporting Publications