Panel Discussion

Published on ● Video Link: https://www.youtube.com/watch?v=IH8J1ohkffw



Category:
Discussion
Duration: 1:24:00
238 views
2


https://simons.berkeley.edu/talks/building-regulatory-atlas-based-5-single-cell-rna-seq
Computational Challenges in Very Large-Scale 'Omics'




Other Videos By Simons Institute for the Theory of Computing


2022-08-02Tutorial: Statistical Learning Theory and Neural Networks II
2022-08-01Tutorial: Statistical Learning Theory and Neural Networks I
2022-07-23Adversarial Examples in Deep Learning
2022-07-22New Approaches for Phylogenetic Species Tree Estimation
2022-07-22Single Cell Brain Isoforms in Space and Time
2022-07-22Benchmarking, Inference, and in Silico Controls in Single-Cell and Spatial Omics Data Science
2022-07-22Learning Gene Association Networks Using Single-Cell RNA-Seq Data: A Graphical Model Approach
2022-07-22Mapping Gene Regulatory Dependencies with Single-Cell Resolution
2022-07-22Harnessing Multimodal Single-Cell Sequencing Data for Integrative Analysis
2022-07-22Learning From Large-Scale (Single-Cell) ‘Omics’
2022-07-22Panel Discussion
2022-07-22Exploratory and Model-Based Analysis of ScHi-C Data
2022-07-22The Earth Biogenome Project: Progress and the Challenges Ahead
2022-07-22Multiple Sequence Alignment for Predicting Antigen-Antibody Interactions
2022-07-22Evolution of Germline Mutation Spectrum in Humans
2022-07-22Sequence Bioinformatics at Large Scale: Petabase-Scale Sequence Alignment Catalyses Viral Discovery
2022-07-22Long-Read Transcriptome Complexity and Cell-Type Regulatory Signatures in ENCODE4
2022-07-22Leveraging Long Reads Sequencing for Developing a Functional Iso-Transcriptomics Analysis Framework
2022-07-22Multi-Omic Integration for Understanding Disease
2022-07-22The Epigenetic Logic of Gene Activation
2022-07-22Profiling of Antibody Repertoires and Immunoglobulin Loci Enables Large-Scale Analysis of...



Tags:
Simons Institute
theoretical computer science
UC Berkeley
Computer Science
Theory of Computation
Theory of Computing
Computational Challenges in Very Large-Scale 'Omics'