RECOMB-CCB 2024 Program

Saturday, April 27

Time Title Author(s)
8:30-9:25 AM Breakfast and registration
9:25-9:30 AM Opening remarks
9:30-10:30 AM Keynote: Finding Mechanism of Resistance in Cancer Gad Getz
10:30-10:45 AM Coffee break
10:45-11:05 AM Orchard: building large cancer phylogenies using stochastic combinatorial search (paper) Ethan Kulman, Rui Kuang and Quaid Morris
11:05-11:25 AM A regression based approach to phylogenetic reconstruction from multi-sample bulk DNA sequencing of tumors (paper) Henri Schmidt and Benjamin Raphael
11:25-11:45 AM Sc-TUSV-ext: Single-cell clonal lineage inference from single nucleotide variants (SNV), copy number alterations (CNA) and structural variants (SV) (paper) Nishat Anjum Bristy, Xuecong Fu and Russell Schwartz
11:45-12:05 PM Accurate integration of single-cell DNA and RNA for analyzing intratumor heterogeneity using MaCroDNA (highlight) Mohammadamin Edrisi, Xiru Huang, Huw Alexander Ogilvie and Luay Nakhleh
12:05-1:30 PM Lunch
1:30-2:30 PM Keynote: A new mechanism for oncogene amplification Peter Park
2:30-3:00 PM Lightning talks:
  1. Ahmad et al. Haplotype-specific karyotypes reconstruction and copy number aberrations/profiling from long reads sequencing data
  2. Ostroverkhova et al. Elucidating rare driver mutations in human cancer
  3. Ma et al. Spatial landscape of malignant pleural and peritoneal mesothelioma tumor immune microenvironment
  4. Vahid et al. Elucidating transcriptional tumor plasticity in pancreatic adenocarcinoma using pooled single cell RNA CRISPR screens
  5. Geuenich et al. Identifying HLA mediated antigen presentation deficiency at single cell resolution using transfer learning
  6. Stöber et al. Intercellular extrachromosomal DNA copy number heterogeneity drives cancer cell state diversity
3:00-4:30 PM Poster session & coffee break
4:30-4:50 PM Assigning mutational signatures to individual samples and individual somatic mutations with SigProfilerAssignment (highlight) Marcos Díaz-Gay, Raviteja Vangara, Mark Barnes, Xi Wang, S.M. Ashiqul Islam, Ian Vermes, Stephen Duke, Nithish Bharadhwaj Narasimman, Ting Yang, Zichen Jiang, Sarah Moody, Sergey Senkin, Paul Brennan, Michael R. Stratton and Ludmil B. Alexandrov
4:50-5:10 PM A latent variable model for evaluating mutual exclusivity and co-occurrence between driver mutations in cancer (paper) Ahmed Shuaibi, Uthsav Chitra and Benjamin Raphael
5:10-5:30 PM Refphase: Multi-sample phasing reveals haplotype-specific copy number heterogeneity (highlight) Thomas Watkins, Emma Colliver, Matthew Huska, Tom Kaufmann, Emilia Lim, Cody Duncan, Kerstin Haase, Peter Van Loo, Charles Swanton, Nicholas McGranahan and Roland Schwarz
5:30-5:50 PM Probing omics data via harmonic persistent homology (paper) Davide Gurnari, Aldo Guzmán-Sáenz, Filippo Utro, Aritra Bose, Saugata Basu and Laxmi Parida

Sunday, April 28

Time Title Author(s)
8:30-9:30 AM Breakfast and registration
9:30-10:30 AM Keynote: Learning the molecular logic of cancer Eliezer Van Allen
10:30-10:45 AM Coffee break
10:45-11:05 AM Tissue-adjusted pathway analysis of cancer (TPAC): A novel approach for quantifying tumor-specific gene set dysregulation relative to normal tissue (highlight) H. Robert Frost
11:05-11:25 AM HIPI: Spatially Resolved Multiplexed Protein ExpressionInferred from H&E WSIs (paper) Ron Zeira, Leon Anavy, Zohar Yakhini, Ehud Rivlin and Daniel Freedman
11:25-11:45 AM Novel mechanism-centric network-based algorithm identifies molecular programs of treatment resistance in cancer (highlight) Sukanya Panja, Mihai Truica, Christina Yu, Vamshi Saggurthi, Michael W. Craige, Katie Whitehead, Mayra Tuiche, Aymen Alsaadi, Riddhi Vyas, Shridar Ganesan, Suril Gohel, Frederick Coffman, James Scott Parrott, Songhua Quan, Shantenu Jha, Isaac Kim, Edward Schaeffer, Vishal Kothari, Sarki Abdulkadir and Antonina Mitrofanova
11:45-12:05 PM CADRE: Utilizing CAncer Drug Response nEtwork for Drug Synergy Prediction (paper) Chunguang Lai, Arda Durmaz, Doug Brubaker and Gurkan Bebek
12:05-1:30 PM Lunch provided
1:30-2:30 PM Keynote: Mathematical modeling of single cell genomics to understand evolutionary histories of tumors Franziska Michor
2:30-2:50 PM KSFinder 2.0, a model for predicting kinases of human phosphorylation sites, and its potential application in inferring dysregulated kiases in case-specific tumors (highlight) Manju Anandakrishnan, Karen Ross, Chuming Chen, K.Vijay Shanker and Cathy Wu
2:50-4:00 PM Poster session & coffee break
4:00-4:20 PM Human papillomavirus integration transforms chromatin to drive oncogenesis (highlight) Mehran Karimzadeh, Christopher Arlidge, Ariana Rostami, Mathieu Lupien, Scott V. Bratman and Michael M. Hoffman
4:20-4:40 PM On the Performance of Clustering in Large-scale Evolutionary Analyses of Single-Cell DNA Copy Number Data (paper) Yushu Liu and Luay Nakhleh
4:40-4:45 PM Closing remarks