UCLA Computational Genomics Summer Institute 2016

Los Angeles CA

Jul 18 - Aug 12, 2016

The goal of this program is to bring together mathematical and computational scientists, sequencing technology developers in both industry and academia, and the biologists who use the instruments for particular research applications. This presents a unique opportunity to foster interactions between these three communities over an extended period of time and advance the mathematical foundations of this exciting field.

Biological sciences have been transformed over the past two decades by the development of technologies capable of performing large-scale measurements of cellular states. In particular, DNA sequencing instruments have undergone an extraordinary increase in efficiency during the past few years that has reduced the time and cost required to sequence billions of bases by several orders of magnitude.

Sequencing advancements are revolutionizing the scale and potential applications of genomic studies. There is an enormous need to develop mathematical and computational infrastructures to meet emerging data analysis challenges. To name just a few examples, applications requiring the development of novel mathematical and statistical frameworks include the reconstruction of RNA transcript populations, identifying sequence variations (both single-nucleotide and segmental) and exploring their disease associations, locating the sites of protein-DNA interactions, elucidating population histories, and reconstructing microbial communities that colonize particular hosts or environmental niches.

Specifically, the innovative aspects of our program are:

  1. Research mentoring during the long program.
  2. Open problems from mentors and intro-workshop.
  3. Research skills training.
  4. Development of course plans for participants.
  5. Co-located conference to increase participant investment.
  6. Available computational resources for collaborations.
  7. Leveraging innovative programs in genomics education at UCLA.

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Adriana Sperlea

PhD Student, University of California Los Angeles

Bogdan Pasaniuc

Assistant Professor, UCLA

Brian Browning

Professor, University of Washington

Christopher Robles

Graduate Research Fellow, UCLA

Diana Domanska

Postdoctoral Fellow, University of Oslo

David Koslicki

Assistant Professor, Oregon State University

Eleazar Eskin

Associate Professor, University of California Los Angeles

Eran Halperin

Professor, UCLA

Jaehee Kim

Postdoc, Stanford University

Jo Hardin


Bio: Tutorial on RNASeq Normalization and Differential Expression

Kristoffer Sahlin

Postdoc, PSU

Liangke Gou

PhD student, UCLA

Liat Shenhav

PhD Student Computer Science , UCLA

Olga Schubert

Postdoc, UCLA

Paul Medvedev

Assistant Professor, Penn State

Hossein Moeinzadeh

Student, Max Planck Institut für molekulare Genetik

Kin Fai Au

assistant professor, univ of iowa

Elior Rahmani


Roni Wilentzik

Tel Aviv University

Alexander Schoenhuth

Centrum Wisk. & Informatica

Eyal Fisher

Tel Aviv University

Joel Mefford


Pasquale Laise

Saharon Rosset

Serghei Mangul

Alex Zelikovski

Barbara Engelhardt

Carlos Bustamante

Dan Geschwind

Eliran Avni

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