Computational infrastructure for NGS data analysis. José Carbonell Caballero Pablo Escobar

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1 Computational infrastructure for NGS data analysis José Carbonell Caballero Pablo Escobar

2 Computational infrastructure for NGS Cluster definition: A computer cluster is a group of linked computers, working together closely thus in many respects forming a single computer Requirements High perfomance High availability Load balancing Scalability

3 Computational infrastructure for NGS In NGS we have to process really big amounts of data, which is not trivial in computing terms. Big (or medium) NGS projects require supercomputing infrastructures

4 Computational infrastructure for NGS These infrastructures are expensive and not trivial to use, we require: Acondicionated data center

5 Computational infrastructure for NGS These infrastructures are expensive and not trivial to use, we require: Acondicionated data center This is not a super computer!!!!!

6 Computational infrastructure for NGS These infrastructures are expensive and not trivial to use, we require: Acondicionated data center The Blue Gene/P supercomputer at Argonne National Lab - 250,000 processors

7 Computational infrastructure for NGS These infrastructures are expensive and not trivial to use, we require: Acondicionated data center Tier 1 = Non-redundant capacity components (single uplink and servers). Tier 2 = Tier 1 + Redundant capacity components. Tier 3 = Tier 1 + Tier 2 + Dual-powered equipments and multiple uplinks. Tier 4 = Tier 1 + Tier 2 + Tier 3 + all components are fully fault-tolerant including uplinks, storage, chillers, HVAC systems, servers etc. Everything is dual-powere

8 Computational infrastructure for NGS Computing cluster: Many computing nodes (servers) High performance storage (hard disks) Fast networks (10Gb ethernet, infiniband...)

9 Computational infrastructure for NGS Skilled people in computing ( sysadmins and developers). In CNAG currently 30 staff - >50% informatics

10 Big infrastructure cluster Distributed memory cluster Starting at 20 computing nodes 160 to 240 cores amd64 (x86_64) is the most used cpu architecture At least 48GB ram per node Fast networks 10Gbit Infiniband Batch queue system (sge, condor, pbs, slurm) Optional MPI and GPUs environment depending on project requirements

11 Big infrastructure storage Distributed filesystem for high performance storage (starting at 100TB) Lustre GPFS Ibrix parallel nfs glusterfs NFS is not a good option for supercomputing Storage is the most expensive (2000$ per Tb)

12 Big infrastructure storage

13 Big infrastructure

14 Big infrastructure Starting at is just the hardware Plus data center (computers room) Plus informatics salary Not every partner knows about supercomputing. SGI Bull IBM HP

15 Middle-size infrastructure Small distributed filesystem ( around 50TB). Small cluster (around 10 nodes, 80 to 120 cores). At least gigabit ethernet network. Price range: (just hardware) plus data center and informatics salary

16 Small infrastructure Recommended at least 2 machines 8 or 12 cores each machine. 48Gb ram minimum each machine. BIG local disk. At least 4TB each machine As much local disks as we can afford Price range: starting at (two machines)

17 Sequencing centers in Spain Medical Genome Project Sequencing Instruments 7 GS-FLX (Roche) 4 SolidTM 4 (Applied Biosystems) Informatics infrastructure 300 core cluster 0,5 petabyte hard disks

18 Medical genome project Storage racks IBRIX filesystem front-ends

19 MGP raw data generation a solid sequencer run 7 days running Generates around 4TB Only the four solid sequencers working full time can generate around 12TB each week. 12TB just of raw data. After running bioinformatics analysis more data is generated Raw data size grows really fast New sequencer models New reagents

20 MGP raw data generation

21 Sequencing centers in Spain CNAG Sequencing Instruments 8 Illumina Genome Analyzer Iix 6 Illumina HiSeq Illumina cbots Informatics infrastructure 850 core cluster 1.2 petabyte hard disks 10 x 10 Gb/s link with marenostrum (Barcelona Super Computer 10,240 cores)

22 CNAG

23 Largest sequencing center in the world Beijing Genomics Institute (BGI)

24 Largest sequencing center in the world Beijing Genomics Institute (BGI) Hardware resources Source:

25 Sequencing center resources

26 Clusters around the world

27 Most used operating system is GNU/LINUX Source:

28 Alternatives cloud computing Cloud computing Remote computation Pay per use Elastic Mirrors around the world Virtualization

29 Alternatives cloud computing Pros Flexibility. You pay what you use. Don t need to maintain a data center. Cons Transfer big datasets over internet is slow. You pay for consumed bandwidth. That is a problem with big datasets. Lower performance, specially in disk read/write. Privacy/security concerns. More expensive for big and long term projects.

30 Thanks

The NGS IT notes. George Magklaras PhD RHCE

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