Crowdsourcing Biology: The Gene Wiki, BioGPS and GeneGames.org

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Crowdsourcing Biology: The Gene Wiki, BioGPS and GeneGames.org Andrew Su, Ph.D. @andrewsu [email protected] http://sulab.org October 30, 2012

Transcript of Crowdsourcing Biology: The Gene Wiki, BioGPS and GeneGames.org

Page 1: Crowdsourcing Biology: The Gene Wiki, BioGPS and GeneGames.org

Crowdsourcing Biology: The Gene Wiki, BioGPS and GeneGames.org

Andrew Su, Ph.D.@andrewsu

[email protected]://sulab.org

October 30, 2012

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Few genes are well annotated…2

38%

59%

TP53TNFAPOEMTHFRIL6HLA-DRB1VEGFAEGFRTGFB1ACE

Data: NCBI gene2pubmed, August 2010

23,278 protein-coding genes

Genes, sorted by decreasing counts

Co

un

ts

Gene ontology

PubMed

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1979

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200,000

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1,000,000

Number of PubMed-indexed articles

… because the literature is sparsely curated?3

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… because the literature is sparsely curated?4

0

1 0

2 0

Average capacity of human scientistNumber of articles read by typical scientist

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311,696 articles (1.5% of PubMed)have been cited by GO annotations

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0

Sooner or later, the research community will

need to be involved in the annotation effort to scale

up to the rate of data generation.

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The Long Tail is a prolific source of content7

ShortHead

Long Tail

Content produced

Contributors (sorted)

News :Video:

Product reviews:Food reviews:Talent judging:

NewspapersTV/Hollywood

Consumer reportsFood criticsOlympics

BlogsYouTube

Amazon reviewsYelp

American Idol

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Wikipedia is reasonably accurate8

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Wikipedia has breadth and depth9

http://en.wikipedia.org/wiki/Wikipedia:Size_comparisons, July 2008

Articles

Words(millions)

Words/ article

Wikipedia Britannica Online

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We can harness the Long Tail of scientists to directly participate in

the gene annotation process.

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From crowdsourcing to structured data11

The Gene Wiki

Biological Games

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Filtering, extracting, and summarizing PubMed

Documents

Concepts Review article

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Filtering, extracting, and summarizing PubMed

Documents

Concepts

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Wiki success depends on a positive feedback14

Gene wiki page utility

Number ofusers

Number ofcontributors

1001

2002

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10,000 gene “stubs” within Wikipedia15

Protein structure

Symbols and identifiers

Tissue expression pattern

Gene Ontology annotations

Links to structured databases

Gene summary

Protein interactions

Linked references

Huss, PLoS Biol, 2008

Utility

Users

Contributors

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Gene Wiki has a critical mass of readers16

Total: 5.0 million views / month

Huss, PLoS Biol, 2008; Good, NAR, 2011

Utility

Users

Contributors

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Gene Wiki has a critical mass of editors17

Increase of ~10,000 words / month from >1,000 editsCurrently 1.42 million words

Approximately equal to 230 full-length articles

Good, NAR, 2011

Utility

Users

Contributors

Edi

tor

coun

t Editors

Edits Edi

t co

unt

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A review article for every gene is powerful18

References to the literature

Hyperlinks to related conceptsReelin: 98 editors, 703 edits since July 2002

Heparin: 358 editors, 654 edits since June 2003

AMPK: 109 editors, 203 edits since March 2004

RNAi: 394 editors, 994 edits since October 2002

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The Gene Wiki is (reasonably) reliable19

Good edits

VandalismCum

ulat

ive

edits

Date

Per edit probability

98.9%

1.1%

Average lifetime

115.4 d

3.4 d

Probability by time

99.968%

0.032%

(0.63% for WP overall)

Good, NAR, 2011

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Making the Gene Wiki more reliable20

The company name is derived from old Greek, and means

"destroyer of birds".

Novartis is a multinational pharmaceutical company

based in Basel, Switzerland that manufactures drugs such

as clozapine (Clozaril), diclofenac (Voltaren), …

2

2

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Making the Gene Wiki more reliable21

http://www.wikitrust.net/

The company name is derived from old Greek, and means

"destroyer of birds".

Novartis is a multinational pharmaceutical company

based in Basel, Switzerland that manufactures drugs such

as clozapine (Clozaril), diclofenac (Voltaren), …

*

36211 total edits 36 total edits

High-trust author Low-trust author

******

** *

*

*

**

2

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Making the Gene Wiki more computable22

Structured annotationsFree text

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Filling the gaps in gene annotation23

Wikilink

GO exact match

Gene Wiki mapping

NCBI Entrez Gene: 334

Candidate assertion

GO:0006897

6319 novel GO annotations2147 novel DO annotations

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TOP 100 GENES

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Gene Wiki content improves enrichment analysis25

GO term

Gene listConcept

recognitionPubMed abstracts

Enrichment analysis

GO:0007411

axon guidance

(GO:0007411)

264 genes

Linked genes through PubMed

P = 1.55 E-20

811 articles

Yes No

Yes 13 2

No 251 12033

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Gene Wiki content improves enrichment analysis26

GO term

Gene listConcept

recognitionPubMed abstracts

Gene Wiki

+

Enrichment analysis

GO:0006936 GO:0006936

muscle contraction

(GO:0006936)

87 genes

Linked genes through PubMed

Linked genes through

PubMed + Gene Wiki

P = 1.0 P = 1.22 E-09

251 articles

87 articles

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Gene Wiki content improves enrichment analysis27

p-value (PubMed only)

p-value (PubMed + GW)

Muscle contraction

More significant

PubMed + GW

More significant

PubMed only

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Gene Wiki+: Crowdsourced semantic database28

Q: What genes are related to hemolytic anemia?

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The Long Tail of scientists is a valuable source of

information on gene function

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From crowdsourcing to structured data30

The Gene Wiki

Biological Games

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Gene databases are numerous and overlapping31

… and hundreds more …

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http://biogps.org

Community extensibility and user customizability32

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Utility

UsersContributors

Utility: A simple and universal plugin interface33

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Utility

UsersContributors

Utility: A simple and universal plugin interface34

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Utility

UsersContributors

Utility: A simple and universal plugin interface35

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Utility

UsersContributors

Utility: A simple and universal plugin interface36

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Utility

UsersContributors

Utility: A simple and universal plugin interface37

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Utility: A simple and universal plugin interface38

Utility

UsersContributors

Total of 389 gene-centric online databases registered as BioGPS plugins

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Users: BioGPS has critical mass39

• > 5000 registered users• 13,500 unique visitors per month• 155,000 page views per week

1. Harvard2. NIH3. UCSD4. Scripps5. MIT6. Cambridge

7. U Penn8. Stanford9. Wash U10. UNC

Top 10 organizations

Daily pageviewsUtility

UsersContributors

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Contributors: Explicit and implicit knowledge40

389 plugins registered (65% publicly shared)

by over 75 users

spanning 150+ domains

Utility

UsersContributors

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Mining structured content from HTML41

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Defining a data extraction template42

TP53 TNF APOE IL6 VEGF …EGFR TGFB1

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The BioGPS Semantic Annotator43

http://50.112.124.237

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The Long Tail of

bioinformaticianscan collaboratively build a gene portal.

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From crowdsourcing to structured data45

The Gene Wiki

Biological Games

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http://www.flickr.com/photos/archana3k1/4124330493/

Seven million human hours

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Twenty million human hours

http://www.flickr.com/photos/ableman/2171326385/

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150 billion human hours

http://www.flickr.com/photos/rvp-cw/6243289302/

per year

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Using games to fold proteins49

Fold.it players have successfully:• Outperformed state of the art protein

folding algorithms (Cooper, Nature, 2010)

• Solved a previously-intractable crystal structure (Khatib, Nat Struct Mol Biol, 2011)

• Designed an improved protein folding algorithm (Khatib, PNAS, 2011)

• Improved enzyme activity of de novo designed enzyme (Eiben, Nat Biotechnol, 2011)

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Using games to fold RNAs50

http://eterna.cmu.edu/

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Using games to align sequences 51

http://phylo.cs.mcgill.ca

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Using games to annotate genes?52

http://genegames.org

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No good gene-disease annotation database53

Alzheimer's disease (AD)Lipoprotein glomerulopathySea-blue histiocyte disease

Query: Apolipoprotein E

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No good gene-disease annotation database54

Alzheimer's disease (AD)Lipoprotein glomerulopathy Sea-blue histiocyte diseaseHyperlipoproteinemia, type IIIMacular degeneration, age-relatedMyocardial infarction susceptibility

Query: Apolipoprotein E

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No good gene-disease annotation database55

Alzheimer's disease (AD)Lipoprotein glomerulopathy Sea-blue histiocyte diseaseHyperlipoproteinemia, type IIIMacular degeneration, age-relatedMyocardial infarction susceptibilityHIVPsoriasisVascular Diseases

Query: Apolipoprotein E

?

?

?

?

?

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No good gene-disease annotation database56

Alzheimer's disease (AD)Neuropsychological Tests Cognition Disorders Dementia Cognition Disease Progression Cardiovascular Diseases Coronary Disease Diabetes Mellitus, Type 2 Memory Disorders 

Query: Apolipoprotein E

Memory Coronary Artery Disease Hypertension Mental Status Schedule Psychiatric Status Rating

Scales Hyperlipidemias Atrophy Dementia, Vascular Parkinson Disease Brain Injuries Myocardial Infarction …

477 diseases!

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Play Dizeez to annotate gene-disease links57

3. If it’s ‘right’, you get points

4. Then on to the next question…

2. Click the related disease (only one is “right”)

5. Hurry!

1. Read the clue (gene)

6. Play to win!

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Dizeez players seem pretty smart…58

In total (since Dec 2011):• 230 unique gamers• 1045 games played• 8525 guesses

# Occurrences Gene Disease

11 NBPF3 neuroblastoma

11 SOX8 mental retardation

9 ABL1 leukemia

9 SSX1 synovial sarcoma

8 APC colorectal cancer

8 FES sarcoma

8 RBP3 retinoblastoma

8 GAST gastrinoma

8 DCC colorectal cancer

8 MAP3K5 cancer

Gene Wiki OMIM PharmGKB PubMed

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Using games to predict phenotype from genotype?59

http://genegames.org

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Classification problems in genome biology60

cancer normal

find patterns

Classify new samples

cancer

normalSVM

Neural networks

Naïve Bayes

KNN

…100s samples

100,

000s

fea

ture

s

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Random forests61

Sample subset of cases and

featuresTrain decision

treecancer normal

100s samples

100,

000s

fea

ture

s

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Random forests62

cancer normal

100s samples

100,

000s

fea

ture

s

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Random forests63

Classify new samples

cancer

normal

cancer normal

100s samples

100,

000s

fea

ture

s

How to interject biological

knowledge?

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Network-guided forests64

Dutkowski & Ideker (2011). PLoS Computational Biology

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Network-guided forests65

Sample features by PPI

networkTrain decision

treecancer normal

100s samples

100,

000s

fea

ture

s

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Human-guided forests66

Sample features by

human intelligence

Train decision treecancer normal

100s samples

100,

000s

fea

ture

s

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The Cure: Genomic predictors for disease68

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The Cure: Genomic predictors for disease69

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The Cure: Genomic predictors for disease70

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The Cure: Genomic predictors for disease71

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The Cure: Genomic predictors for disease72

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The Cure: Genomic predictors for disease73

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Human-guided forests74

Classify new samples

cancer

normal

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“Critical Assessment”-style challenge75

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Preliminary results

• 214 registered players– 50% declared knowledge of cancer

biology– 40% self-identified as having Ph.D.

• Prediction results– 69% correct on survival concordance

index– Best scoring model was 72%

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The Long Tail of gamerscan collaboratively build an accurate disease classifier.

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Doug Howe, ZFINJohn Hogenesch, U PennJon Huss, GNFLuca de Alfaro, UCSCAngel Pizzaro, U PennFaramarz Valafar, SDSUPierre Lindenbaum,

Fondation Jean DaussetMichael Martone, RushKonrad Koehler, Karo BioWarren Kibbe, Simon Lim, NorthwesternMany Wikipedia editors

WP:MCB Project

Collaborators

Ben GoodSalvatore LoguercioIan Macleod

Max NanisChunlei Wu

Group members

Funding and Support

(BioGPS: GM83924, Gene Wiki: GM089820)

Contacthttp://sulab.org

[email protected]@andrewsu+Andrew Su

Recruiting graduate students in quantitative biology! See http://education.scripps.edu/