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Molecular Profiling
Personal Genomics




       Text
Mission
Establish a dry lab that empowers
both researcher and clinicians with
state-of-the-art bioinformatics
solutions in order to enable
translational medicine today

ADAM = A DryLab AMsterdam
Built a portal by combining
pre-existing building blocks


Communication platform
Ticketing/Service platform
Workflow platform
Creating syngery by
combining building blocks


Communication platform based on
wordpress

 Manage contacts, calendars, events

 Share educational resources

 Proactive use of social media by
 integration RSS, Twitter
Creating syngery by
combining building blocks

Ticketing platform based on Mantis

  Establish a wiki type internal knowledge base

  Make inventory of existing competences

  Leverage/manage expectations, response times

  Match expertises, prioritize most important
  recurring problem, distinguish urgent from
  important problems ...
Creating syngery by
 combining building blocks
Workflow platform based on Galaxy

  Reuse, leverage other systems ... ensure CVS -
  concurrent versioning system (for the
  bioinformaticians) ... ensure education
  towards researchers

  USE CASES (running project, miRNA, CRC
  integration work, H2G2, cervix ... other TRAIT
  examples)

  Aim for re-use-ability of pipelines
For bioinformaticians - developers:
Version Control System

Version Control System
Revision control is any practice that tracks and provides
control over changes to source code (inclusing scripting,
statistical pipelines).


It has become increasingly common for a single snippet of
code to be edited by a team, the members of which may be
geographically dispersed and may pursue different interests.


Sophisticated revision control that tracks and accounts for
ownership of changes to documents and code may be extremely
helpful or even necessary in such situations.


Essential for consolidation !
implementation
Galaxy


                         CloudMan

          implementation

CloudBioLinux


          BioCloudCentral
CloudBioLinux (http://cloudbiolinux.org/
 quickly build-your-own suite/ready to roll
 graphical and command line acces
CloudMan (http://usecloudman.org/)
 create a scalable and shareable processing platform
 orchestrates the steps required to provision and
 manage compute clusters on a cloud
 infrastructure, all through a web browser. In
 minutes, you can use a vanilla SGE cluster or a
 complete bioinformatics analysis environment.
Galaxy (http://usegalaxy.org)
 do exploratory analysis
BioCloudCentral (http://biocloudcentral.org)
 get started easily
Next Steps
Planning phase

  Circulate internal within pathology PIL

  Get feedback, remarks, setup implementation
  meeting (hardware, location)

  Define KPI (key performance indicators)

Implemention phase

  Deploy ADAM: Wordpress, mantis, galaxy

  USE CASES

  Evaluate using KPI

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December 2012 drylab

  • 3. Mission Establish a dry lab that empowers both researcher and clinicians with state-of-the-art bioinformatics solutions in order to enable translational medicine today ADAM = A DryLab AMsterdam
  • 4. Built a portal by combining pre-existing building blocks Communication platform Ticketing/Service platform Workflow platform
  • 5. Creating syngery by combining building blocks Communication platform based on wordpress Manage contacts, calendars, events Share educational resources Proactive use of social media by integration RSS, Twitter
  • 6. Creating syngery by combining building blocks Ticketing platform based on Mantis Establish a wiki type internal knowledge base Make inventory of existing competences Leverage/manage expectations, response times Match expertises, prioritize most important recurring problem, distinguish urgent from important problems ...
  • 7. Creating syngery by combining building blocks Workflow platform based on Galaxy Reuse, leverage other systems ... ensure CVS - concurrent versioning system (for the bioinformaticians) ... ensure education towards researchers USE CASES (running project, miRNA, CRC integration work, H2G2, cervix ... other TRAIT examples) Aim for re-use-ability of pipelines
  • 8. For bioinformaticians - developers: Version Control System Version Control System Revision control is any practice that tracks and provides control over changes to source code (inclusing scripting, statistical pipelines). It has become increasingly common for a single snippet of code to be edited by a team, the members of which may be geographically dispersed and may pursue different interests. Sophisticated revision control that tracks and accounts for ownership of changes to documents and code may be extremely helpful or even necessary in such situations. Essential for consolidation !
  • 10.
  • 11. Galaxy CloudMan implementation CloudBioLinux BioCloudCentral
  • 12. CloudBioLinux (http://cloudbiolinux.org/ quickly build-your-own suite/ready to roll graphical and command line acces CloudMan (http://usecloudman.org/) create a scalable and shareable processing platform orchestrates the steps required to provision and manage compute clusters on a cloud infrastructure, all through a web browser. In minutes, you can use a vanilla SGE cluster or a complete bioinformatics analysis environment. Galaxy (http://usegalaxy.org) do exploratory analysis BioCloudCentral (http://biocloudcentral.org) get started easily
  • 13. Next Steps Planning phase Circulate internal within pathology PIL Get feedback, remarks, setup implementation meeting (hardware, location) Define KPI (key performance indicators) Implemention phase Deploy ADAM: Wordpress, mantis, galaxy USE CASES Evaluate using KPI