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Visualization Approaches for Biomedical Omics Data: Putting It All Together

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Visualization Approaches for Biomedical Omics Data: Putting It All Together Nils Gehlenborg Harvard Medical School Center for Biomedical Informatics nils_gehlenborg
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Page 1: Visualization Approaches for Biomedical Omics Data: Putting It All Together

Visualization Approaches for Biomedical Omics Data: Putting It All Together

Nils GehlenborgHarvard Medical SchoolCenter for Biomedical Informatics

nils_gehlenborg!

Page 2: Visualization Approaches for Biomedical Omics Data: Putting It All Together

Why am I doing this?

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Machine

Human

"

#

Page 4: Visualization Approaches for Biomedical Omics Data: Putting It All Together

INTERPRETATION

GENERATIONCOMPUTATION

Machine

Human

"

#

Data

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“In every chain of reasoning, the evidence of the last conclusion can be no greater than that of the weakest link of the chain, whatever may be the strength of the rest.”

- Thomas Reid, Essays on the Intellectual Powers of Man (1786)

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INTERPRETATION

GENERATIONCOMPUTATION

Machine

Human

"

#

Data

Hypotheses Discoveries

Knowledge Cognition

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x  y1 y2

1.00 0.96 0.762.00 0.76 -0.143.00 -0.14 -0.914.00 -0.91 -0.845.00 -0.84 0.006.00 0.00 0.847.00 0.84 0.918.00 0.91 0.149.00 0.14 -0.7610.00 -0.76 -0.9611.00 -0.96 -0.28

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-1

-0.5

0

0.5

1

1 2 3 4 5 6 7 8 9 10 11

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INTERPRETATION

GENERATIONCOMPUTATION

Machine

Human

Hypotheses Discoveries

Knowledge

"

#

Data|

Cognition

Page 10: Visualization Approaches for Biomedical Omics Data: Putting It All Together

What are the data?

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Biomedical Omics Data

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DNA Icon by Darrin Higgins, from The Noun Project

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Genome What is the DNA sequence?

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Genome

sequencing of genomic DNAHOW?

single nucleotide variants (SNVs) copy number variants

complex structural variants

WHAT?

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http://www.broadinstitute.org/igv

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http://www.broadinstitute.org/igv

Page 18: Visualization Approaches for Biomedical Omics Data: Putting It All Together

http://circos.ca, Krzywinski et al. 2009, Genome Research

Clark et al. 2009, PLoS Genetics

Page 19: Visualization Approaches for Biomedical Omics Data: Putting It All Together

source: Human

destination: Lizardchr1

chr2

chr3

chr4

chr5

chr6

chr7

chr8

chr9

chr10

chr11

chr1

2

chr13

chr14

chr15

chr16

chr17

chr18

chr1

9

chr2

0

chr2

1

chr22

chrX

chrY

chr3

chr1

chr2

chr3

chr4

chr5

chr6

chra

chrb

chrc

chrd

chrf

chrg

chrh

saturationline

- +

10Mb

chr3

go to:

chr3 chr2

51280143 152008850

51709189 152345239

orientation:

match

inversion

invert

out in

http://www.mizbee.org

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http://genome.lbl.gov/vista

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Page 22: Visualization Approaches for Biomedical Omics Data: Putting It All Together

Genome

Transcriptome

What is the DNA sequence?

Which genes are active?

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Transcriptome

sequencing of mRNA/microRNA molecules microarray-based hybridization

HOW?

abundance of transcripts/genes/isoformsWHAT?

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http://research.fhcrc.org/mcintosh/en/tools.html

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http://miso.readthedocs.org/en/latest/sashimi.html#visualizing-and-plotting-miso-output

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Page 27: Visualization Approaches for Biomedical Omics Data: Putting It All Together

Genome

Transcriptome

Proteome

What is the DNA sequence?

Which genes are active?

Which proteins are present?

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Proteome

mass spectrometry of peptides array-based techniques

HOW?

presence of peptides & proteins abundance of peptides & proteins

WHAT?

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Page 30: Visualization Approaches for Biomedical Omics Data: Putting It All Together

Genome

Transcriptome

Proteome

Metabolome

What is the DNA sequence?

Which genes are active?

Which proteins are present?

Which metabolites can be identified?

Page 31: Visualization Approaches for Biomedical Omics Data: Putting It All Together

Metabolome

mass spectrometry NMR spectroscopy

HOW?

presence of metabolites abundance of metabolites

WHAT?

Page 32: Visualization Approaches for Biomedical Omics Data: Putting It All Together

Genome

Transcriptome

Proteome

Metabolome

What is the DNA sequence?

Which genes are active?

Which proteins are present?

Which metabolites can be identified?

Interactome Which molecules are interacting?

Page 33: Visualization Approaches for Biomedical Omics Data: Putting It All Together

Interactome

mass spectrometry, yeast-2-hybrid text mining

HOW?

links between moleculesWHAT?

Page 34: Visualization Approaches for Biomedical Omics Data: Putting It All Together

Genome

Epigenome

Transcriptome

Proteome

Metabolome

What is the DNA sequence?

Which genes are active?

Which proteins are present?

Which metabolites can be identified?

How are DNA and associated proteins modified?

Interactome Which molecules are interacting?

Page 35: Visualization Approaches for Biomedical Omics Data: Putting It All Together

Epigenome

ChIP-seq, ChIP-chip (histones modifications) bisulfite sequencing (DNA methylation)

HOW?

histone modifications along genome DNA methylation patterns along genome

WHAT?

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http://epigenomegateway.wustl.edu/browser/

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http://compbio.med.harvard.edu/flychromatin/

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http://compbio.med.harvard.edu/flychromatin/

Page 39: Visualization Approaches for Biomedical Omics Data: Putting It All Together

Genome

Epigenome

Transcriptome

Proteome

Metabolome

Nucleome

What is the DNA sequence?

Which genes are active?

Which proteins are present?

How is the DNA organized in space/time?

Which metabolites can be identified?

How are DNA and associated proteins modified?

Interactome Which molecules are interacting?

Page 40: Visualization Approaches for Biomedical Omics Data: Putting It All Together

Nucleome

3C/4C/5C chromosome conformation capture Hi-C sequencing

HOW?

contact probabilities for different parts of the genome

WHAT?

Page 41: Visualization Approaches for Biomedical Omics Data: Putting It All Together

Lieberman-Aiden et al., Comprehensive Mapping of Long-Range Interactions Reveals Folding Principles of the Human Genome, 2009

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Scaling

Page 43: Visualization Approaches for Biomedical Omics Data: Putting It All Together

Dimensions

Genomic Entities

Samples

Timepoints

Data Types

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?

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TCGAThe Cancer Genome Atlas

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Page 47: Visualization Approaches for Biomedical Omics Data: Putting It All Together
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mRNA expression

microRNA expression

DNA methylation

protein expression

copy number variants

mutation calls

clinical parameters

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Page 50: Visualization Approaches for Biomedical Omics Data: Putting It All Together
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Page 53: Visualization Approaches for Biomedical Omics Data: Putting It All Together
Page 54: Visualization Approaches for Biomedical Omics Data: Putting It All Together

Stratome

Page 55: Visualization Approaches for Biomedical Omics Data: Putting It All Together

Anthony92931 / Wikimedia Commons + Modification by Nils Gehlenborg

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Page 57: Visualization Approaches for Biomedical Omics Data: Putting It All Together
Page 58: Visualization Approaches for Biomedical Omics Data: Putting It All Together

StratomeX

A Lex, M Streit, H-J Schulz, C Partl, D Schmalstieg, PJ Park, N Gehlenborg, “StratomeX: Visual Anal-ysis of Large-Scale Heterogeneous Genomics Data for Cancer Subtype Characterization“, Computer Graphics Forum 31:1175-1184 (2012)

M Streit, A Lex, S Gratzl, C Partl, D Schmalstieg, H Pfister, PJ Park, N Gehlenborg, “Guided Visual Exploration of Genomic Stratifications in Cancer“, Nature Methods 11:884-885 (2014)

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Page 60: Visualization Approaches for Biomedical Omics Data: Putting It All Together

Is there a mutation that overlaps with this mRNA cluster?

Is there a CNV that affects survival?

Is there a pathway that is enriched in this cluster?

Is there a mutually exclusive mutation?

Query

Rank

VisualizeStratifications

Clinical Params Pathways

Guided Exploration

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Page 62: Visualization Approaches for Biomedical Omics Data: Putting It All Together

dem

and

products

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use

rs

visualization tools

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use

rs

visualization tools

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use

rs

visualization tools

genome browser network viewer heatmap visualization

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http://genome.ucsc.org

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use

rs

visualization tools

genome browser network viewer heatmap visualization

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use

rs

visualization tools

customized tools for very specific problems

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Meyer et al., “MulteeSum: A Tool for Comparative Spatial and Temporal Gene Expression Data”, 2010

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use

rs

visualization tools

customized tools for very specific problems

Page 71: Visualization Approaches for Biomedical Omics Data: Putting It All Together

What am I doing?

Page 72: Visualization Approaches for Biomedical Omics Data: Putting It All Together

Building infrastructure to build visualization tools.

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Data Management

Visualization Components

Visualization Tools

Data Analytics

Visualization Libraries

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Data Management

Visualization Components

Visualization Tools

Data Analytics

Visualization Libraries

Abstraction

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System/Platform

Data Management

Visualization Components

Visualization Tools

Data Analytics

Visualization Libraries

Abstraction

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Think about scale.

Think about systems.

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MD Anderson Cancer Center

University of Rostock

Psalm Haseley, Richard Park, Peter J Park

Michael S Noble, Douglas Voet, Lihua Zou, Spring Liu, Hailei Zhang, Sachet Shukla, Aaron McKenna, Andrew Cherniak, Pei Lin, Gad Getz

Jianhua Zhang, Terrence Wu, Ian Watson, Steven Quayle, Lynda Chin

Harvard Medical School

Broad Institute of MIT & Harvard

Christian Partl, Dieter SchmalstiegGraz University of Technology

Johannes Kepler University Linz Samuel Gratzl, Stefan Luger, Marc Streit

Hans-Jörg Schulz

Acknowledgements

Harvard SEAS Alexander Lex, Hanspeter Pfister

Harvard School of Public Health

Funding NIH/NHGRI K99 HG007583

Ilya Sytchev, Shannan Ho Sui, Winston Hide


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