2017 RECOMB Satellite Meetings

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RECOMB-Genetics
UCLA Campus, Los Angeles, California
July 27-28, 2017
California Room, UCLA Faculty Center

Click to download the schedule!

KEYNOTE SPEAKERS
Suzanne Leal, Baylor College of Medicine
Leal Lab

Noah Rosenberg, Stanford University
Rosenberg Lab

“EMERGING PI” INVITED TALKS
Alexander Gusev, Dana Farber/Harvard Medical School
Hilary Finucane, Broad Institute

RECOMB-CCB
UCLA Campus, Los Angeles, California
July 28-29, 2017
California Room, UCLA Faculty Center

Click to download the schedule!

KEYNOTE SPEAKERS
Trey Ideker, University of California, San Diego
Ideker Lab

Quaid Morris, University of Toronto
Morris Lab

ACCOMMODATIONS NEAR UCLA
UCLA maintains an active list of hotels near the Westwood campus:
http://www.admission.ucla.edu/tours/accommodations.htm

We are offering single- and double-occupancy housing, within walking distance to UCLA campus, for the nights of July 26-29. Double-occupancy rooms may require sharing with a roommate. The total cost for a place in a double room for all nights is $200. The total cost for a single room for all nights is $375. For more information, email the conference organizers: lana [dot] martin [at] ucla [dot] edu. Select the “Lodging” option on the payment website:
https://commerce.cashnet.com/cgsiandrecombregistration

Click for more information:
RECOMB-Genetics    RECOMB-CCB    REGISTRATION


 

REGISTRATION IS STILL OPEN!

Visit the following secure website in order to register for 2017 RECOMB-Genetics and RECOMB-CCB:

https://commerce.cashnet.com/cgsiandrecombregistration.

Registration fee options:

Satellite Genetics and CCB Regular: $200.00

Satellite Genetics and CCB Student: $150.00

 


 

5th RECOMB Satellite Workshop on Computational Methods in Genetics

RECOMB-Genetics

UCLA Campus, Los Angeles, California

July 27-28, 2017

 

SUMMARY

Over the last decade, large-scale, cost-effective availability of genotype data has led to novel analytical opportunities and computational challenges in statistical genetics. Population genetics allows more refined understanding of the demographic history of our species. Association analysis provides insights into the functional and molecular underpinnings of diseases and traits. Clinical applications suggest genetics is emerging as a trailblazer in personalized medicine. Complex bioinformatics questions arise, ranging from inferring more nuanced statistical models of genetic information to algorithms that overcome the complexity challenges of analyzing millions of SNPs across millions of individuals, to systems level challenges of handling such Big Data repositories of genotypes and phenotypes.

 

SCOPE

This meeting will focus on current research at the intersection of genetics, computer science, statistics, and related fields in gathering, analyzing, and applying SNP and haplotype data to problems in medicine and basic research. We plan to build on the success of previous RECOMB Satellite Meetings on Computational Methods in Genetics in bringing together leading participants from widely divergent backgrounds to share their expertise and results.

 

TOPICS

Original research papers (including significant work-in-progress) or state-of-the-art surveys are solicited in all aspects of SNP analysis and genetics, including, but not limited to:

  • Association analysis pipelines, imputation, phasing, and meta-analysis
  • Rare variants analyses and burden tests
  • Risk/phenotype prediction models and heritability analysis
  • Analysis of molecular and ‘omics phenotypes’ (e.g., gene expression, other epigenetic markers)
  • Complex associations, including mixed models, epistasis, and normalization
  • Structured phenotypes: multiple/serial/intermediate phenotypes and pleiotropy
  • Inference of population structure and demographic history
  • Models for mutation, recombination, selection, and conservation
  • Relatedness and identity-by-descent
  • Structural variation

 

PROGRAM COMMITTEE CHAIR

Barbara Engelhart, Princeton University

 

KEYNOTE CHAIR

Bogdan Pasaniuc, University of California, Los Angeles

 

STEERING COMMITTEE

Itsik Pe’er, Columbia University
Eleazar Eskin, University of California, Los Angeles

 

KEYNOTE SPEAKERS
Suzanne Leal, Baylor College of Medicine
Leal Lab

Noah Rosenberg, Stanford University
Rosenberg Lab

 

“EMERGING PI” INVITED TALKS
Alexander Gusev, Dana Farber/Harvard Medical School
Hilary Finucane, Broad Institute

 


6th RECOMB Satellite Workshop on Computational Cancer Biology

RECOMB-CCB

UCLA Campus, Los Angeles, California

July 28-29, 2017

 

SUMMARY

Cancer research is undergoing a revolution driven by the application of high-throughput techniques such as genome sequencing, single-cell analysis, miRNA profiling, and mass spectrometry. Today’s high-throughput techniques are capable of performing in-depth characterization of tumor samples and producing large collections of data that have implications for both basic biology and clinical translation. Cancer is a disease of tremendous complexity; thus, the analysis and interpretation of this data with a systems biology approach demands sophisticated, specialized computational methods. This workshop brings together leading researchers in the mathematical, computational and biological sciences to discuss advances and open questions in cancer research.

 

SCOPE

This meeting will focus on applying statistical and algorithmic approaches to improve our understanding of cancer and on the development of useful, effective and efficient new methods in this area. The emphasis of contributed work will be on developing and applying statistical, mathematical and algorithmic approaches to improve our understanding of cancer. The workshop will partially overlap with the RECOMB-Genetics Satellite Workshop, which takes place on UCLA campus immediately after the UCLA Computational Genomics Summer Institute.

 

TOPICS

  • Methods for analysis of high-throughput sequencing or microarray data, with application to cancer
  • Inference of somatic mutations, copy number aberrations, structural rearrangements, and other genomic aberrations from high-throughput sequencing or microarray data sets
  • Clonality analyses and tumor evolution
  • Epigenetic variation (e.g., methylation profiling, methyl-seq, ChIP-seq analysis) applied to cancer
  • Transcriptome analysis and assembly, alterative splicing, and fusion gene analyses from RNAseq data
  • Applications of single-molecular and nanopore sequencing technologies to cancer
  • Pathway analysis and network reconstruction with a focus on cancer biology
  • Cancer proteomics
  • Data integration from multiple molecular assays

 

PROGRAM COMMITTEE CHAIRS

Christina Curtis, Stanford University
Teresa Przytycka, NIH

 

PROGRAM COMMITTEE

Niko Beerenwinkel, ETH Zurich
Paul Boutros, Ontario Institute for Cancer Research
Ken Chen, MD Anderson Cancer Center
Jeroen de Ridder, Delft Bioinformatics Lab
Igor Jurisica, Ontario Cancer Institute
Ekta Khurana, Weill Cornell Medical College
Yoo-Ah Kim, NIH
Carl Kingsford, Carnegie Mellon University
Mehmet Koyuturk, Case Western Reserve University
Mark Leiserson, Microsoft
Christina Leslie, Memorial Sloan-Kettering Cancer Center
Xinghua Lu, University of Pittsburgh
Jian Ma Carnegie, Mellon University
Florian Markowetz, University of Cambridge
Layla Oesper, Carleton College
Jian Peng, University of Illinois at Urbana-Champaign
Ben Raphael, Princeton University
Russel Schwartz, CMU
Roland Schwarz, Max Delbrueck Center for Molecular Medicine
Sohrab Shah, BC Cancer Agency
Ewa Szczurek, Warsaw University
Fabio Vandin, University of Padova
Martin Vingron ,Max Planck Institut fuer molekulare Genetik
Esti Yeger-Lotem, Ben Gurion University
Yinyin Yuan, ICR

 

STEERING COMMITTEE

Joe Gray, Oregon Health Sciences University
Michael Hallett, McGill University
Ben Raphael, Brown University
Sohrab Shah, BC Cancer Agency
Zohar Yakhini, Technion and Agilent Technologies

 

KEYNOTE SPEAKERS
Trey Ideker, University of California, San Diego
Ideker Lab

Quaid Morris, University of Toronto
Morris Lab

 


REGISTRATION FOR BOTH WORKSHOPS

 

Visit the following secure website in order to register for 2017 RECOMB-Genetics and RECOMB-CCB:

https://commerce.cashnet.com/cgsiandrecombregistration.

 

Registration fee options:

Satellite Genetics and CCB Regular: $200.00

Satellite Genetics and CCB Student: $150.00