HiTSeq 2024

Keynote speakers


Evan Eichler
Evan E. Eichler
Professor
University of Washington, Seattle, WA, United States
Sushmita Roy
Sushmita Roy
Professor
University of Wisconsin, Madison, WI, United States
Kin Fai Au
Kin Fai Au
Professor
University of Michigan, Ann Arbor, MI, United States


Saturday July 13, 2024

All times listed are in EDT, Room: 517d

10:40-10:45 Welcome remarks
10:45-11:40 Keynote: Unsupervised learning approaches for genomics to decipher structure and dynamics of 3D genome organization and gene regulatory networks
Presenter: Sushmita Roy, University of Wisconsin, Madison, WI, United States
Format: In Person
11:40-12:00 An Adaptive K-Nearest Neighbor Graph Optimized for Single-cell and Spatial Clustering
Presenter: Qi Liu, Vanderbilt University Medical Center, United States
Format: In Person
12:00-12:20 Proceedings Presentation: Forseti: A mechanistic and predictive model of the splicing status of scRNA-seq reads
Presenter: Yuan Gao, University of Maryland, College Park, United States
Format: In Person
12:20-12:40 Keynote: Computational Advances In Multiomics Analysis Using HiFi Sequencing
Presenter: Liz Tseng, Pacific Biosciences
Format: In person
14:20-14:40 Proceedings Presentation: Sigmoni: classification of nanopore signal with a compressed pangenome index
Presenter: Vikram Shivakumar, Johns Hopkins University, United States
Format: In Person
14:40-15:00 Proceedings Presentation: Label-guided seed-chain-extend alignment on annotated De Bruijn graphs
Presenter: Harun Mustafa, ETH Zurich, Switzerland
Format: In Person
15:00-15:20 Compressed Indexing for Pangenome Substring Queries
Presenter: Stephen Hwang, XDBio Program, Johns Hopkins School of Medicine, United States
Format: In Person
15:20-15:40 Sequence-to-graph alignment based copy number calling using a flow network formulation
Presenter: Hugo Magalhães, Institute for Medical Biometry and Bioinformatics, Medical Faculty, and Center for Digital Medicine, HHU, Düsseldorf, Germany
Format: In Person
15:40-16:00 Targeted genotyping of complex polymorphic genes using short and long reads
Presenter: Timofey Prodanov, Institute for Medical Biometry and Bioinformatics, Heinrich Heine University, 40225 Düsseldorf, Germany, Germany
Format: In Person
16:40-17:00 VISTA: An integrated framework for structural variant discovery
Presenter: Varuni Sarwal, UCLA, United States
Format: In Person
17:00-18:00 Keynote: Long-read sequencing and pangenome perspective of structural variation
Presenter: University of Washington, Seattle, WA, United States
Format: In person

Sunday, July 14, 2024

All times listed are in EDT, Room: 517d

10:40-11:40 Keynote: Why and how long reads are used to improve gene isoform quantification
Presenter: Kin Fai Au, University of Michigan, Ann Arbor, MI, United States
Format: In person
11:40-12:00 Telomere-to-telomere assembly by preserving contained reads
Presenter: Sudhanva Shyam Kamath, Indian Institute of Science, Bangalore, India
Format: Live Stream
12:00-12:20 Rawsamble: Overlapping and Assembling Raw Nanopore Signals using a Hash-based Seeding Mechanism
Presenter: Can Firtina, ETH Zurich, Switzerland
Format: In Person
14:20-14:40 Proceedings Presentation: Conway-Bromage-Lyndon (CBL): an exact, dynamic representation of k-mer sets
Presenter: Igor Martayan, Univ Lille, France
Format: In Person
14:40-15:00 Proceedings Presentation: Learning Locality-Sensitive Bucketing Functions
Presenter: Xin Yuan, Pennsylvania State University, United States
Format: In Person
15:00-15:20 Proceedings Presentation: Fast Multiple Sequence Alignment via Multi-Armed Bandits
Presenter: Kayvon Mazooji, University of Illinois Urbana-Champaign, United States
Format: In Person
15:20-15:40 Contrasting and Combining Transcriptome Complexity Captured by Short and Long RNA Sequencing Reads
Presenter: Seong Woo Han, University of Pennsylvania, United States
Format: In Person
15:40-16:00 Quantum Computing for Genomic Analysis
Presenter: Sergii Strelchuk, University of Cambridge, United Kingdom
Format: In Person
16:40-17:00 Proceedings Presentation: Adaptive Digital Tissue Deconvolution
Presenter: Franziska Görtler, Department of Oncology and Medical Physics, Haukeland University Hospital, Norway
Format: In Person
17:00-17:20 Maximizing accuracy of cellular deconvolution. (ACeD)
Presenter: Jonathan Bard, State University of New York at Buffalo, United States
Format: In Person
17:20-17:40 Evolution of genomic and epigenomic heterogeneity in prostate cancer from tissue and liquid biopsy
Presenter: Marjorie Roskes, Weill Cornell Medicine, United States
Format: In Person
17:40-18:00 Accurate and robust bootstrap inference of single-cell phylogenies by integrating sequencing read counts
Presenter: Rija Zaidi, University College London Cancer Institute, United Kingdom
Format: In Person