Next Generation Bioinformatics on the Cloud
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1 Next Generation Bioinformatics on the Cloud Sifei He Director of BGI Cloud Xing Xu, Ph.D Senior Product Manager EasyGenomics BGI Contact Us
2 Agenda Vision and Strategy Problems and Solutions Product Introduction LIVE Demo Future Roadmap Q&A
3 Trend of Volume and Cost $/Mb D N A S e q u e n c e Human Genome Sequenced Figures adapted from Sboner A, et al.: The real cost of sequencing: higher than you think! Genome Biology 2011, 12:125 Numbers and Images from private research and the open Internet 3
4 Geological side of the problem + Sequencing is a COMMODITY and happens EVERYWHERE. BGI Images from omicsmaps.com
5 Interpretation is the KEY Analysis and Interpretation is the KEY Application is the Silver Bullet
6 Difficulties of Analysis Primary analysis Secondary Analysis Tertiary Analysis Post Tertiary Analysis Base calling Mapping Variant Calling In-depth Annotation Data throughput Data storage Computation intensive Data storage Complicated Algorithms Computation intensive Lack of knowledge
7 Problems and Solutions Solutions Cloud High Speed Data Exchange Workflows +) Resource Management Problems: Big genomic data Geological distribution Algorithm integration Computational demand 7
8 EasyGenomics EasyGenomicsis the bioinformatics platform for research and applications on the cloud
9 EasyGenomics Database, Data management Computational Resources Algorithms, Workflows, Reports High speed connection Web portal, Simple UI EasyGenomicsis the bioinformatics platform for research and applications on the cloud
10 Bioinformatics Core Algorithms: Carefully chosen, tested and optimized Workflows: Whole genome resequencing, exome resequencing, RNA-Seq, small RNA, de novo Assembly
11 Enabling Technology Hadoop-based Flexible Computing Best Practice Award for IT Infrastructure Human Genome SOAPdenovo EasyGenomics TM (192 cores) Genome Coverage 86% 86% Assembly Time 70h 55h No. of Servers 1 15 Memory Size 500GB x 1 24 GB x 15 Mode Centralized Distributed 11
12 Data Management Sample A Analysis I Analysis II Raw Data Sample B Analysis X Project I Sample, Analysis, Project Mimicking real research procedure Automatic management of underlying data structure
13 High Speed Data Exchange Aspera spatented fasp high-speed file transferring technology 10~100X fasterthan FTP 13
14 Resource Management Managed Multitenancy Workspace Data Structure Managed Task Safe Backup
15 Security Access Multitenancy Isolation Compliance Username/Password Biometric access HTTPS, Asperafastp TM Trusted database connection ACL, Data encryption Physical isolation Virtual isolation ISO27000
16 Introduction to EasyGenomics TM Xing Xu, Ph.D Senior Product Manager
17 Homepage Navigation Tabs Three task portals Status of recent works Warning and Logging
18 Project Table Add/Remove Project Project list table Filter and search box Operation short cuts
19 Analysis Table
20 Sample Table
21 Read Upload Read Upload Portal
22 Upload Raw Data Create a Sample
23 Upload Raw Reads (Asperaconnect server)
24 Create a sample Create a Sample
25 Create a Sample Sequencing information Add Read Group Filter settings Mapping settings
26 Add read groups Create a Sample
27 Sample Page Individual report for each lane Summarized report for all lanes
28 Sequencing Quality Report 28
29 Mapping Report 29
30 Data Analysis Portal Create a Analysis
31 Create an Analysis
32 Create an Analysis Selected sample(s) One selected sample => Single Analysis Multiple selected samples => Batch Analyses
33 Create an Analysis Selectable modules Predefined Settings Shortcut
34 Create an Analysis
35 Create an Analysis Customizable
36 Create an Analysis
37 Create an Analysis
38 Data Harvest Portal Data Management
39 Upload Management
40 Download Management
41 LIVE DEMO
42 Sifei He Director of BGI Cloud 42
43 Applications Complex -Omicsresearch Genetic testing Diagnostics
44 One More Thing FREE Ref: BOSTON Please Visit BGI 213 Subject to T&C
45 Q & A 45
46 BACKUP 46
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