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Network-Based Discovery: Seeing the Forest for the Trees - Adventures with 82,000 Phenotypes

Published on 2016-09-211021 Views

Biological organisms are complex systems that are composed of pleiotropic functional networks of interacting molecules and macro-molecules. Complex phenotypes are the result of orchestrated, hierarchi

Presentation

Network-Based Discovery: Seeing the Forest for the Trees00:00
Experimental Data Types06:13:25
Results43:37:55
Populus: Linking genes to complex phenotypes49:29:12
Vectors across Two Different Types of Matrices61:31:41
Manhattan Plot65:21:59
Populus: Linking genes to complex phenotypes75:42:58
Network Theory: The Practical79:56:42
Co-evolution Networks: SNP Correlations99:16:59
Big data and high performance computing reveals the underlying biological signatures - 1112:40:59
Big data and high performance computing reveals the underlying biological signatures - 2121:00:17
Big data and high performance computing reveals the underlying biological signatures - 3125:41:22
Targets of Interest: Gene Co-evolution Networks144:04:04
Gene Co-evolution Networks150:07:52
Big data and high performance computing reveals the underlying biological signatures - 4171:18:19
Infrastructure181:21:43
GWAS Networks207:01:33
The use of GWAS networks217:00:12
Preliminary: GWAS-Profile Correlation221:44:37
GWAS-Profile Correlation Methods - 1227:17:28
GWAS-Profile Correlation Methods - 2231:55:22
GWAS-Profile Correlation Methods - 3234:12:40
GWAS-Profile Correlation Methods - 4234:27:31
GWAS-Profile Correlation Methods - 5235:48:26
GWAS-Profile Correlation Methods - 6235:55:15
GWAS-Profile Correlation Methods - 7235:59:08
GWAS-Profile Correlation Methods - 8236:06:01
GWAS Profile Network - 1236:18:19
GWAS Profile Network - 2242:23:24
GWAS Profile Network - 3247:34:06
GWAS Profile Network - 4250:43:15
GWAS Profile Network - 5251:33:39
GWAS Profile Network - 6258:21:32
GWAS Profile Network - 7259:30:13
Lignin Focused Network281:12:55
Seed Subnetwork Creation - 1291:15:11
Seed Subnetwork Creation - 2300:58:34
Seed Subnetwork Creation - 3305:39:46
Seed Subnetwork Creation - 4306:38:56
Seed Subnetwork Creation - 5306:45:02
Seed Subnetwork Creation - 6306:54:16
Seed Subnetwork Creation - 7307:40:09
Seed Subnetwork Creation - 9313:10:56
Seed Subnetwork Creation - 10319:26:00
Seed Subnetwork Creation - 11334:42:28
Seed Subnetwork Creation - 12342:39:43
Seed Subnetwork Creation - 13346:18:07
Seed Subnetwork Creation - 14358:23:03
Seed Subnetwork Creation - 15369:38:32
Seed Subnetwork Creation - 16371:37:38
Seed Subnetwork Creation - 17373:32:39
Seed Subnetwork Creation - 18381:31:56
Seed Subnetwork Creation - 19386:45:32
Seed Subnetwork Creation - 20388:21:49
Seed Subnetwork Creation - 21389:51:02
Seed Subnetwork Creation - 22399:07:09
Seed Subnetwork Creation - 23412:56:30
Seed Subnetwork Creation - 24413:54:47
Seed Subnetwork Creation - 25419:58:15
Seed Subnetwork Creation - 26424:48:06
Seed Subnetwork Creation - 27429:20:40
Seed Subnetwork Creation - 28431:06:00
Seed Subnetwork Creation - 19433:19:21
Seed Subnetwork Creation - 30445:25:55
Seed Subnetwork Creation - 31459:37:24
Seed Subnetwork Creation - 32461:07:22
Seed Subnetwork Creation - 33463:37:59
Seed Subnetwork Creation - 34469:14:40
Gene Projection488:35:34
GAUT Integrated Phenotypes - 1507:41:33
Creating new, expanded hypotheses Galacturonosyltransferase (GAUTs)510:53:47
GAUT Integrated Phenotypes - 2515:09:42
GAUT11 pyMBMS Cluster - 1517:05:36
pyMBMS Annotations522:20:04
GAUT11 pyMBMS Cluster - 2532:05:32
Gene Annotations Associated with pyMBMS Cluster533:56:21
What about our friend DUF1118?542:50:52
GAUT11 pyMBMS Cluster - 3544:12:24
GAUT11 pyMBMS Cluster - 4545:34:46
Plant-Microbial Interfaces - 1553:46:31
Plant-Microbial Interfaces - 2558:12:41
Plant-Microbial Interfaces - 3585:46:39
Testable hypotheses: Putative models unfold - 1594:59:28
Testable hypotheses: Putative models unfold - 2601:23:10
Testable hypotheses: Putative models unfold - 3608:18:09
Background on Viruses612:00:31
Aim 1: Develop tools - 1628:51:40
Aim 1: Develop tools - 2632:27:46
Aim 1: Develop tools - 3638:38:59
Microbes and Viruses Across the GWAS Population - 1648:29:56
Microbes and Viruses Across the GWAS Population - 2658:22:06
Receptor- Centric Network665:52:20
Virus and Bacteria Receptor Intersection670:11:37
Virus and Bacteria Intersection - 1674:44:30
Virus and Bacteria Intersection - 2682:45:40
Virus and Bacteria Intersection - 3688:34:02
Endophytic Microbiome / Viriome Community Structure712:33:06
Focused Integrated Networks719:41:02
Future Work738:29:32
Phenologs - 1742:01:38
Phenologs - 2745:49:00
Phenologs - 3750:25:28
Mining for Phenologous Patterns791:13:28
Neuroblastoma - 1802:55:45
Human: Neuroblastoma Phenotype - 1806:57:41
Human: Neuroblastoma Phenotype - 2808:17:20
Poplar: Growth Phenotypes810:20:03
Poplar: Budflush, Developmental Phenotype811:50:47
Neuroblastoma - 2815:21:41
Questions to explore844:52:39
3-way Networks: Application of Hypergraphs for Modelling Increased Complexity in Comparative Genomics848:37:56
Scaling up Computational Biology to Address Biological Complexity: High Performance Computing872:21:26
Exascale Computing: 3-way Networks875:54:41
Exascale Computing: 4-way Networks878:47:37
CASBA Platform887:27:05
ORNL Supercomputing900:16:00
System-wide understanding of Complex Biological Systems905:15:23
Acknowledgements - 1911:09:52
Acknowledgements - 2915:16:49
Acknowledgements - 3919:47:12
Funding924:19:16
Expanding925:40:51
Thank You929:07:15