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2017 RECOMB-Genetics and RECOMB-CCB Satellite Workshops

July 27 @ 8:00 am - July 29 @ 5:00 pm


2017 RECOMB-Genetics and RECOMB-CCB Satellite Workshops

UCLA Campus, Los Angeles, California
July 27 to 29


5th RECOMB Satellite Workshop on Computational Methods in Genetics
UCLA Campus, Los Angeles, California
July 27-28, 2017

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.

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.

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

Barbara Engelhart, Princeton University

Bogdan Pasaniuc, University of California, Los Angeles

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

Nancy Cox, Vanderbilt University
Jonathan Pritchard, Stanford University

6th RECOMB Satellite Workshop on Computational Cancer Biology
UCLA Campus, Los Angeles, California
July 28-29, 2017

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.

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.


  • 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

Christina Curtis, Stanford University
Teresa Przytycka, NIH

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

Trey Ideker, University of California, San Diego

A manuscript should start with a succinct statement of the problem, the results achieved, their significance, and a comparison with previous work. This material should be understandable to non-specialists. A technical exposition directed to the specialist should follow.

Manuscripts should be no more than 10 single-spaced US letter or A4 pages with at most a 6.5×9″ text area in at least 11-point font. Title and authors, corresponding author’s email address, 100- to 250-word abstract, references, figures, and tables all included. An optional short appendix may contain details or additional data to be consulted at the discretion of the program committee.

Manuscripts for RECOMB-CCB must be submitted electronically in PDF format via the EasyChair system using the following link: https://easychair.org/conferences/?conf=recombcbb2017.

Manuscripts for RECOMB-Genetics must be submitted electronically in PDF format via the EasyChair system using the following link: https://easychair.org/conferences/?conf=recombgenomics2017. (Link for RECOMB-Genetics will become active within the next few days.)

RECOMB-CCB continues its successful partnership with Bioinformatics. Select papers accepted for the workshops will be considered for a special track publication in the journal Bioinformatics. Bioinformatics is a biweekly peer-reviewed scientific journal covering research and software in computational biology. The journal was established as Computer Applications in the Biosciences (CABIOS) in 1985. In 1998, the journal obtained its current name. Bioinformatics is published by Oxford University Press, and as of 2014, the editors-in-chief are Alfonso Valencia and Janet Kelso.

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

Registration fee options:
Satellite Genetics and CCB Regular: $200.00
Satellite Genetics and CCB Student: $150.00

March 14, 2017: Submission Opens
April 14, 2017:   Paper Submission deadline
May 7, 2017: Paper Accept/Reject decisions
May 29, 2017:  Early registration deadline

Visit our website for more information:


July 27 @ 8:00 am
July 29 @ 5:00 pm



Upcoming Events

  1. Markus Covert Seminar

    April 3 @ 4:00 pm - 5:00 pm
  2. Brandon Gaut Seminar

    April 10 @ 4:00 pm - 5:00 pm
  3. Zeba Wunderlich Seminar

    April 17 @ 4:00 pm - 5:00 pm
  4. Jun Song Seminar

    April 24 @ 4:00 pm - 5:00 pm
  5. 2nd Annual QCBio Symposium

    April 28 @ 8:30 am - 4:00 pm

Recent Student Publications

Determining the Effect of Natural Selection on Linked Neutral Divergence across Species
Phung TN, Huber CD, Lohmueller KE.
PLOS Genetics. August 2016.

PReFerSim: fast simulation of demography and selection under the Poisson Random Field model
Ortega-Del Vecchyo D, Mardsen CD, Lohmueller KE.
Bioinformatics. July 2016.

SURVIV for survival analysis of mRNA isoform variation
Shen S, Wang Y, Wang C, Wu YN, Xing Y.
Nature Communications. June 2016.