Talk Abstracts

Accessible, Transparent, And Reproducible Genomics With Galaxy

James Taylor, PhD, Ralph S. O'Connor Associate Professor of Biology & Computer Science at Johns Hopkins University

Adventures in Little Data

KEYNOTE SPEAKER
Paul Ginsparg, PhD, Professor of Physics and Information Science, Cornell University

Approaching Genomics Data from Hundreds of Dimensions Simultaneously (This is not a Faster Horse)

Seed Fund Update
Sarah J. Wheelan, MD, PhD, Assistant Professor, Oncology Bioinformatics, Johns Hopkins University
Alignment to The Cancer Genome Atlas Project Raw Sequencing Reads: With skyrocketing numbers of whole genome sequence and phenotype data available from individuals’ germline and diseased cells, we need a new framework for understanding genomics data. Using the Data-Scope (a data-intensive supercomputer, funded by the NSF), we aim to detect sets of nucleotide-level variations that … Continued

Big Data: Opportunities And Challenges In Health Care

Patricia M. Davidson, PhD, MEd, RN, FAAN, Dean, Johns Hopkins School of Nursing

Data Intensive Science At JHU: The First Year Of IDIES

S. Alexander Szalay, PhD, Director IDIES, Professor Astrophysics & Computer Science, Johns Hopkins University
Recognizing the strategic importance of computing and data across the whole university, President Ronald Daniels decided a year ago to substantially broaden the scope of IDIES. Now the Institute includes five schools: the Krieger School of Arts and Sciences, the Whiting School of Engineering, the Sheridan Libraries, the School of Medicine and the Bloomberg School … Continued

FragData—High-fidelity Data on Dynamic Fragmentation of Brittle Materials

Seed Fund Update
Nitin Daphalapurkar, PhD, Assistant Research Professor, Mechanical Engineering, Johns Hopkins University
Professors Daphalapurkar and Graham-Brady of Hopkins Extreme Materials Institute are constructing a massive dynamic-fragmentation database (FragData) for materials undergoing failure in critical applications. They envisage FragData would help expand understanding on the mechanics of failure processes associated with, for example, disruption of asteroids, fragmentation of protection materials under impact, and debris formation of construction materials … Continued

Highlights From Data Intensive Research At WSE And First IDIES Seed Funding Program

Charles Meneveau, PhD, Professor, Mechanical Engineering, Whiting School of Engineering, Johns Hopkins University

Highlights In Big Data From SOM

Steven L. Salzberg, PhD, Professor, Departments of Medicine & Biostatistics, Johns Hopkins University

Highlights In Big Data From Sheridan Libraries

G. Sayeed Choudhury, Associate Dean for Research Data Management, Johns Hopkins University

Highlights In Big Data From the Bloomberg School of Public Health

Roger Peng, PhD, Associate Professor Biostatistics, Bloomberg School of Public Health, Johns Hopkins University

Hopkins In Health; Fostering The Intelligent Use Of information To Advance Health

Scott Zeger, PhD, Professor of Biostatistics, Bloomberg School of Public Health

SIRENIC: Stream Infrastructure for the Real-time Analysis of Intensive Care Unit Sensor Data

Seed Fund Update
Yanif Ahmad, PhD, Assistant Professor, Computer Science, Johns Hopkins University
We are designing Sirenic as open-source data streaming infrastructure for the real-time analysis of patient physiological data in intensive care units. Sirenic exploits systems specialization and scaling capabilities enabled by our K3 declarative systems compilation framework to realize orders of magnitude data throughput gains over current generation stream and database systems. Our proposal aims at … Continued

The Elusive Onset of Turbulence And The Laminar-Turbulence Interface

Seed Fund Update
Tamer Zaki, PhD, Associate Professor, Mechanical Engineering, Johns Hopkins University
The Elusive Onset of Turbulence And The Laminar-Turbulence Interface: The onset of chaotic fluid motion from an initially laminar, organized state is an intriguing phenomenon referred to as laminar-to-turbulence transition. Early stages involve the amplification of seemingly innocuous small-amplitude perturbations. Once these disturbances reach appreciable amplitudes, they become host to sporadic bursts of turbulence — … Continued

The New High Performance Research Computing Facility

Jaime E. Combariza, PhD, Director Bayview HPRCF, Associate Research Scientist, Chemistry, Johns Hopkins University

The World’s Largest Data Science Educational Effort: The Johns Hopkins Data Science Specialization

Jeffrey T. Leek, PhD, Associate Professor, Biostatistics and Oncology, Johns Hopkins Bloomberg School of Public Health

What is the Big Data Problem in Biology?

KEYNOTE SPEAKER
David J Lipman, MD, Director, National Center for Biotechnology Information (NCBI), National Institutes of Health (NIH)

“Highly Scalable Software for Analyzing Large Collections of RNA Sequencing Data

Seed Fund Update
Ben Langmead, PhD, Assistant Professor, Computer Science, Johns Hopkins University
Highly Scalable Software for Analyzing Large Collections of RNA Sequencing Data: We are developing a radically scalable software tool, Rail-RNA, for analysis of large RNA sequencing datasets. Rail-RNA will make it easy for researchers to re-analyze published RNA-seq datasets. It will be designed to analyze many datasets at once, applying an identical analysis method to … Continued