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Gene Genie Health Hack Sydney (2015) Garvan Ins:tute Presented by Dr Saskia ReibePal, Genome Researcher Suzanne Cengia, UX designer Emma Duval, UX designer Mining tool for discovering commonali2es in gene expression data

HealthHack_Find gene commonalities tool

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Page 1: HealthHack_Find gene commonalities tool

Gene  Genie

Health  Hack  Sydney  (2015)    Garvan  Ins:tute    Presented  by  Dr  Saskia  Reibe-­‐Pal,  Genome  Researcher  Suzanne  Cengia,  UX  designer  Emma  Duval,  UX  designer

Mining  tool  for  discovering  commonali2es  in  gene  expression  data

Page 2: HealthHack_Find gene commonalities tool

Garvin  Ins:tute  Dr  Saskia  Reibe-­‐Pal Gene  Genie 2

Define  

Understanding  the  problem,  

se@ng  our  goal

Design  thinking  process

Ideate  

Brainstorming,  feature  

prioriCsaCon  

Test  

Usability  tesCng

Empathise  

Stakeholder  interview,  

persona  creaCon

Create  

Rapid  prototyping,  user  walkthrough,  

iteraCon

Page 3: HealthHack_Find gene commonalities tool

Garvin  Ins:tute  Dr  Saskia  Reibe-­‐Pal Gene  Genie 3

Define

Create  a  tool  that  mines  public  databases  for  gene  expression  data  by  keywords,  stores  results  and  allows  discovering  common  pa>erns  between  independent  experiments.

Be  the  recycle  team!

Page 4: HealthHack_Find gene commonalities tool

Garvin  Ins:tute  Dr  Saskia  Reibe-­‐Pal Gene  Genie 4

Empathise

Current  process  tools

Page 5: HealthHack_Find gene commonalities tool

Garvin  Ins:tute  Dr  Saskia  Reibe-­‐Pal Gene  Genie 5

Empathise

I  want  to  find  common  genes  and  see  where,  in  the  cell,  things  are  happening.

Goals:  Streamline  and  speed  up  the  process  of  mining  data  sets.  

Visualisa6ons  of  data.  

Develop  hypotheses  before  running  lab  experiments.  

Source  suitable  experiment  candidates.  

Current  resources:  ArrayExpress  www.ebi.ac.uk/arrayexpress/  

GEO  www.ncbi.nlm.nih.gov/geo  

String  10  

Pain  Points  

1. Time-­‐consuming  manual  curation.  

2. Large  number  of  steps  and  touch-­‐points  in  process.  

3. Not  knowing  if  new  data  is  available.  

4. No  way  to  easily  compare  results  in  a  big  network.  

5. No  easy  way  to  store  results  to  compare  with  new  data.

Charlie  Genome researcher Garvan  InsCtute Scenario:  Research  what  makes  exercise  so  beneficial  at  the  molecular  level.

Page 6: HealthHack_Find gene commonalities tool

Garvin  Ins:tute  Dr  Saskia  Reibe-­‐Pal Gene  Genie 6

Ideate

Feature  priori:sa:on  1. Advanced  search.  2. Store  searches  (Projects).  3. Compare  data.  4. Visualise  interactions  between  molecules  and  

the  location  of  that  molecule  within  the  cell.  5. Add  new  data  sets  to  saved  Projects.

Page 7: HealthHack_Find gene commonalities tool

Garvin  Ins:tute  Dr  Saskia  Reibe-­‐Pal Gene  Genie 7

Test

Interac:ve  prototype

Page 8: HealthHack_Find gene commonalities tool

Garvin  Ins:tute  Dr  Saskia  Reibe-­‐Pal Gene  Genie 8

Test

Interac:ve  prototype  wireframes

Page 9: HealthHack_Find gene commonalities tool

Garvin  Ins:tute  Dr  Saskia  Reibe-­‐Pal Gene  Genie 9

Award

Equal  second  place