RECOMB-CCB will be held at the Faculty Center on UCLA campus: 480 Charles E Young Dr E, Los Angeles, CA 90095.


Parking information for visitors:


Saturday, April 16th

8:30am – Breakfast
UCLA Faculty Center [view on UCLA map]
480 Charles E Young Dr E, Los Angeles, CA 90095


8:50 – 9:00 a.m. – Opening remarks by organizing committee


9:00 – 9:50 a.m. – KEYNOTE: Jared Simpson


9:55 – 10:35 a.m. – Contributed Talks:


David Amar, Tom Hait, Shai Izraeli and Ron Shamir. Integrated analysis of numerous heterogeneous gene expression profiles for detecting robust disease-specific biomarkers and proposing drug targets.


Azim Dehghani Amirabad and Marcel Schulz. Multitask regression for context-specific prioritization of miRNA targets in transcripts.


10:35 -10:50 a.m. – Coffee break


10:50 – 11:15 a.m. – Contributed Talks:

Yoo-Ah Kim, Sanna Madan and Teresa Przytycka. WeSME: Uncovering Mutual Exclusivity of Cancer Drivers and Beyond.


11:15 – 12:15 p.m. – Poster Flash Talks


12:15 – 2:00 p.m. – Lunch & posters


2:00 – 3:00 p.m. – Contributed Talks:


Doug Brubaker, Elena Svenson, Maya Monroe, Kai Smith, Christopher Ryu, Mark Chance, Goutham Narla and Gurkan Bebek. CADRE: A Network Representation of Anticancer Drug Sensitivity for Pharmacogenomics Studies and Precision Medicine.


Hisham Mohammed, Alasdair Russell, Rory Stark, Oscar Rueda, Theresa Hickey, Gerard Tarulli, Aurelien Serandour, Stephen Birrell, Alejandra Bruna, Amel Saadi, Suraj Menon, James Hadfiled, Michelle Pugh, Ganesh Raj, Gordon Brown, Clive D’Santos, Jessica Robinson, Grace Silva, Rosalind Launchbury, Charles Perou, John Stingl, Carlos Caldas, Wayne Tilley and Jason Carroll. Progesterone receptor modulates ERα action in breast cancer.


Hiren Karathia and Sridhar Hannenhalli. Global transcriptional dysregulation in Breast cancer.


Arunima Srivastava, Michael Sharpnack, Parag Mallick, Kun Huang and Raghu Machiraju. Identifying Proteogenomic Trends in Cancers Using Patterns and Shapes of 2D ScatterPlots.


3:00 – 3:15 p.m. – Coffee break


3:15 – 4:05 p.m. – KEYNOTE: Christina Curtis, PhD
Stanford University School of Medicine, Departments of Medicine and Genetics

Quantifying the evolutionary dynamics of human tumor growth and progression

Genetic diversification and clonal selection underlie tumor progression and resistance,
but their dynamics are poorly characterized. Although direct observations of human
tumor growth are impractical, tumors faithfully record their ancestries in the form of
somatic alterations acquired during cell division such that the resultant patterns of intratumor
heterogeneity can be exploited through multi-region sequencing to infer the
evolutionary history of the tumor. Recently, we described a novel ‘Big Bang’ model of
primary human colorectal tumor growth, whereby after transformation, the neoplasm
grows predominantly as a single terminal expansion producing numerous intermixed
sub-clones that are not subject to stringent selection and where both public and most
detectable private alterations arise early during growth. Hence, in this model, the timing
of a mutation is the fundamental determinant of its frequency in the final tumor. Through
spatial computational modeling and statistical inference we verify that the majority of
detectable intra-tumor heterogeneity occurs during the earliest stages of tumor growth.
This new model is compatible with effectively neutral evolution and provides a
framework for quantifying the dynamics of tumor growth with fundamental implications
for earlier detection, therapeutic resistance and metastasis. I will describe extensions of
our computational models to delineate mechanisms of disease progression and discuss
the importance of accounting for tumor growth dynamics when interpreting cancer
genomic data.


4:05 – 4:25 p.m. – Coffee break


4:25 – 5:30 p.m. – Joint Contributed Talks:


Nisha Rajagopal, Sharanya Srinivasan, Kameron Kooshesh, Yuchun Guo, Matthew Edwards, Budhaditya Banerjee, Tahin Syed, Bart Emons, David Gifford and Richard Sherwood. High-throughput mapping of regulatory DNA.


Avi Srivastava, Hirak Sarkar, Laraib Malik and Robert Patro. Fast, Lightweight Clustering of de novo Transcriptomes using Fragment Equivalence Classes


Mikhail Kolmogorov, Eamonn Kennedy, Zhuxin Dong, Gregory Timp and Pavel Pezvner. Single-Molecule Protein Identification by Sub-Nanopore Sensors


Sunday, April 17th

8:30am – Breakfast
UCLA Faculty Center [view on UCLA map]
480 Charles E Young Dr E, Los Angeles, CA 90095


9:00 – 9.50 a.m. – KEYNOTE: Christina Boucher


9:50 – 10:50 a.m. – Contributed Talks:


Theodore Roman, Lu Xie and Russell Schwartz. Automated deconvolution of structured mixtures from bulk tumor genomic data.


Vasilisa Rudneva, Simon Anders, Wolfgang Huber and Jan Korbel. Robust identification of recurrent intergenic somatic mutations in cancer genomes by cross-validation.


Huijuan Feng, Tingting Li and Xuegong Zhang. Characterization of kinase gene expression and splicing profile in prostate cancer with RNA-Seq data.


10:50 – 11:05 a.m. – Coffee break


11:05 – 12:05 a.m. – Panel of Journal Editors
12:05 p.m. – End of program