Mapping Nucleosome Positions Using DNase

Channel:
United States Simons Institute for the Theory of Computing
Subscribers:
68,700
Published on ● Video Link: https://www.youtube.com/watch?v=4IfIwZYoPFc


Duration: 35:25
789 views
7

Alexander Hartemink, Duke University
Regulatory Genomics and Epigenomics
https://simons.berkeley.edu/talks/alexander-hartemink-03-08-16



Other Videos By Simons Institute for the Theory of Computing


2016-03-21Threshold Phenomena in Combinatorics
2016-03-11Discovery of Transcription Factor Binding Motifs from Large Sequence Sets
2016-03-11Algorithms for Single Cell RNAseq Analysis
2016-03-11Spectral Algorithms for Learning HMMs and Tree HMMs for Epigenetics Data
2016-03-11Accurate, Fast, and Model-Aware Transcript Expression Quantification with Salmon
2016-03-11Reconstructing Dynamic Signaling and Regulatory Networks
2016-03-11Co-occupancy Networks for Histone Modifications and Chromatin Associated Proteins
2016-03-11Beyond Enhancer Modularity: Locus-level Control of Gene Expression in Development
2016-03-11Scoring Transcript Variation in Single Cell RNA-seq Data
2016-03-11Learning Feature-Based Protein-DNA Recognition Models from SELEX Data
2016-03-11Mapping Nucleosome Positions Using DNase
2016-03-11Modeling Gene Expression and Chromatin State in Terms of Regulatory Sites
2016-03-11Challenges in Sequence-to-Expression Modeling
2016-03-11Understanding DNA-binding Preferences of Transcription Factor Homologs
2016-03-11Selecting Genomics Assays
2016-03-11Personal Transcription Factor Binding Site Mutations Point to Personal Medical Histories
2016-03-11Elucidating Sequence-Structure Binding Motifs by Uncovering Selection Trends in HT-SELEX Experiments
2016-03-11Hierarchical Regulatory Domain Inference from Hi-C Data
2016-03-11Telomere Length, Nature and Nurture
2016-03-11Modelling Gene Expression Dynamics with Gaussian Processes
2016-03-11Analysis Methods for Single Cell RNA-seq with Application to T-cell Function


Tags:
Simons Institute
UC Berkeley
computer science
theory of computing
Algorithmic Challenges in Genomics
Alexander Hartemink