providing bioinformatics services on cloud
DESCRIPTION
Improvements of experimental technologies forces biologists to face a deluge of data that require relevant tools and sufficient resources to be analyzed. The cloud helps bioinformatics experts to define virtual appliances with pre-installed tools and workflows, and helps scientists to deploy them, on demand, on national research infrastructures. Presented by Christophe Blanchet and Clément Cauthey at the EGI Community Forum in Manchester, UK in April 2013.TRANSCRIPT
Christophe Blanchet, Clément Gauthey
Infrastructure Distributed for BiologyIDB-IBCP CNRS FR3302 - LYON - FRANCE
http://idee-b.ibcp.fr
IDB acknowledges co-funding by the European Community's Seventh Framework Programme (INFSO-RI-261552) and the French National Research Agency's Arpege Programme (ANR-10-SEGI-001)
Providing Bioinformatics Serviceson Cloud
C. Blanchet and C. GautheyEGI CF13, Manchester, 9 April 2013
Infrastructure Distributed for Biology - IDB
CNRS-IBCP FR3302, Lyon, FRANCE
EGI CF13, Manchester, 9 April 2013
Bioinformatics Today• Biological data are big data
• 1512 online databases (NAR Database Issue 2013)
• Institut Sanger, UK, 5 PB
• Beijing Genome Institute, China, 4 sites, 10 PB➡ Big data in lot of places
• Analysing such data became difficult• Scale-up of the analyses : gene/protein to complete genome/
proteome, ...
• Lot of different daily-used tools
• That need to be combined in workflows
• Usual interfaces: portals, Web services, federation,...➡ Datacenters with ease of access/use
• Distributed resources• Experimental platforms: NGS, imaging, ...
• Bioinformatics platforms➡ Federation of datacenters
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EGI CF13, Manchester, 9 April 2013
Sequencing Genomes
source: www.politigenomics.com/next-generation-sequencing-informatics
Complete genome sequencing become a lab commodity with
NGS (cheap and efficient)
source: www.genomesonline.org
EGI CF13, Manchester, 9 April 2013
Infrastructures in Biology
Lot of toolsand web servicesto treat and vizualize
lot of data
EGI CF13, Manchester, 9 April 2013
The scene
• Bioinformatics services providers• Is it easy to deploy lot of (incompatible) tools ?
• To make them connected to public databases ?
• To limit transfer of huge data ?
• To provide users with their own computing resources ?
• With their own isolated storage ?
• Scientists• Is it easy to access/use these tools ?
• To adapt to your usage ?
• To get your/other tools deployed on a datacenter ?
• To combine them ?
• To get my own computing/storage resources ?
EGI CF13, Manchester, 9 April 2013
IDB’s Cloud
• Cloud workbench for Biology• 13 turnkey bioinformatics appliances (as of Apr. 2013)
• Running since Sept. 2011, opened to Biology community
• Lyon, FRANCE
• Powered by• StratusLab
• Compute nodes, Block storage
• +900 cores, +4TB RAM, 36TB vdisks
• Mainly Intel SandyBridge servers with 32c 128GB
• Bigmen servers with 64c 768GB
• VMs from 1 to 64c, 512MB to 760GB RAM
• + Openstack
• Object storage (Swift)
• +200 TB redundant & scalable storage
EGI CF13, Manchester, 9 April 2013
Driven throught a simple web interface
EGI CF13, Manchester, 9 April 2013
Integrate Bioinformatics Tools in Cloud
BLAST
GOR4
FastASSearch
Abyss
ClustalW
Bioinformatics
Tools
RayBWA
PhyML RedHat,CentOS
Debian,Ubuntu
Suse
LinuxVirtual machines
Createnew
Appliance
Bioinformatics Marketplace
NGSStructure Galaxy ARIA (…)Sequence
• Appliances are virtual machines• small : few GB, easy to convert in most virtualization formats
• Installed and pre-configured with common bioinformatics tools• e.g. BLAST, Clustalw, ARIA, MEME, HMMer, TopHat, BWA, Samtools, etc.
EGI CF13, Manchester, 9 April 2013
Bioinformatics Appliances
EGI CF13, Manchester, 9 April 2013
Select your bioinformatics tools
EGI CF13, Manchester, 9 April 2013
Run Bioinformatics Cloud InstancesBioinformatics Marketplace
NGSStructure Galaxy ARIA (…)Sequence
IBCP's CloudResources
BLAST,Clustal,
etc.
PaaS
WorkersVM CNS
Shar
ed F
S
launch jobssshIaaS
Master & StorageVM ARIA
Portal
Laun
chIn
stan
ces
EGI CF13, Manchester, 9 April 2013
Manage your Cloud Instances
EGI CF13, Manchester, 9 April 2013
UNIPROT
PDB
EMBLPROSITE
Genomes
Public
Data sources
BioinformaticsCloud
BLAST,Clustal,
etc.
PaaS
WorkersVM CNS
Shar
ed F
S
launch jobssshIaaS
Master & StorageVM ARIA
Portal
shared(NFS)
User
Persistent data
pdisk(iSCSI)
Biological Data in CloudUpload your data
Get your results
scp http/S3
scp http/S3
EGI CF13, Manchester, 9 April 2013
Example: ‘biocompute’ Appliance
• Use your own instance(s)
• With pre-installed standard bioinformatics tools• BLAST, FastA, SSearch,HMM,...
• ClustalW2, Clustal-Omega, Muscle,..
• Bowtie(2), BWA, samtools, ...
• MEME, R, etc.
• Connected to public reference data• Uniprot, EMBL, genomes, PDB, etc.
• Automaticaly shared to the VMs
EGI CF13, Manchester, 9 April 2013
Example: Galaxy portal for NGS analyses
• Analyse NGS data
• portal Galaxy is widely used in the community
• connected to large public data: sequences and indexes
• large user data (GBs)
• Preserve workflows and results (persistent storage)
EGI CF13, Manchester, 9 April 2013
Example: Proteomics• Motivation
• Collaboration with a mass spectroscopy platform
• Running out of space on their local resources
• Protein identification• Mass experimental data
• Reference databases : nr, Swiss-Prot
• Reference screening tools:OMSSA, X!Tandem
• User interface• Remote display
• NX
• Reference GUIs
• SearchGUI
• PeptidShaker
source: PeptideShaker site
EGI CF13, Manchester, 9 April 2013
Conclusion• Provide turnkey bioinformatics appliances
• Standard tools and pipelines
• Interoperability: ready to run on cloud
• Easier to transfer appliances than data (GB vs TB)
• Provide a cloud infrastructure tightly connected to existing bioinformatics infrastructure• Public IDB’s bioinformatics cloud
• Linked to public biological databases
• In collaboration with the French Bioinformatics Institute
• Ease the usage by scientists• Usual bioinformatics gateways
• Persistent and large ubiquitous storage
• Web interface for cloud management
EGI CF13, Manchester, 9 April 2013
Perspectives• Define good practices to provide academic
community and industry with bioinformatics services!
• French Bioinformatics Institute - IFB• Goals are to provide core bioinformatics resources to the
national and international life science research community in key fields such as genomics, proteomics, systems biology, etc.
• Aims at building a national academic cloud devoted to Bioinformatics, inspired by the model evaluated through the IDB’s cloud.
• European ELIXIR infrastructure• To build a sustainable European infrastructure for biological
information, supporting life science research and its translation
• IFB will be the French representative in ELIXIR.
EGI CF13, Manchester, 9 April 2013
• Acknowledgment
• StratusLab members
• co-funding by the European Community's Seventh Framework Programme (INFSO-RI-261552) and by the French National Research Agency's Arpege Programme (ANR-10-SEGI-001).
Questions ?
http://idee-b.ibcp.fr