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Melissa Wake
Melissa's public data
CONFIDENTIAL FILE
GenV Vanguard Cohorts Participant Information Statement and Consent Form
Melissa Wake
2020-05-04T22:47:15Z
CONFIDENTIAL FILE
GenV Vanguard Cohorts Protocol
Melissa Wake
2020-05-04T22:46:16Z
CONFIDENTIAL FILE
Generation Victoria (GenV) Cohort 2020s Synopsis
Melissa Wake
2020-05-04T22:45:43Z
CONFIDENTIAL FILE
GenV 2019 at a Glance
Melissa Wake
2020-03-20T02:40:53Z
dataset
Supplementary Table 2. List of all Hi-C datasets used in this study and their details
Sreemol Gokuladhas
2020-03-12T09:47:43Z
dataset
Supplementary Table 1. Details on GWAS data used in the study
Sreemol Gokuladhas
2020-03-12T09:45:33Z
CONFIDENTIAL FILE
GenV 2018 at a Glance
Melissa Wake
2020-02-23T20:44:46Z
CONFIDENTIAL FILE
Personize: Clinical outcomes at whole-population scale [Part 2. RCH Foundation application supporting documentation]
Melissa Wake
2019-12-28T15:16:10Z
GenV Rapid Evidence Assessment Report: Large research-led partnerships
Judy Gold
2019-11-27T07:21:34Z
GenV guiding principles and vision
Melissa Wake
2019-11-15T05:32:03Z
GenV measures selection principles
Susan Clifford
2019-10-28T00:54:35Z
GenV lifecourse frameworks
Jing Wang
2019-10-28T00:54:08Z
GenV executive summary
Melissa Wake
2019-10-25T05:40:04Z
dataset
Supplementary Table 6. Gene ontology analysis of the eGenes shared between GS and MG, and GS and MS.
Sreemol Gokuladhas
2019-09-10T21:27:06Z
dataset
Supplementary Table 11. List of all shared druggable eGenes and druggable biological pathways between GS, MG, MS and ALS.
Sreemol Gokuladhas
2019-09-10T06:58:25Z
dataset
Supplementary Table 10. List of druggable eGenes associated with GS, MG, MS and ALS and their drug targets.
Sreemol Gokuladhas
2019-09-10T06:12:08Z
dataset
Supplementary Table 9 List of Druggable eGenes from GS, MG, MS and ALS from immortalized cell line and psoas muscle Hi-C dataset
Sreemol Gokuladhas
2019-09-10T03:21:23Z
dataset
Supplementary Table 8. Overlapping pathways identified between MG, MS and ALS from immortalized cell line Hi-C dataset and psoas muscle Hi-C dataset
Sreemol Gokuladhas
2019-09-10T03:13:32Z
dataset
Supplementary Table 7. List of overlapping pathways identified between GS and NMD (MG, MS and ALS) and the eGenes contributing to those pathways.
Sreemol Gokuladhas
2019-09-10T03:05:58Z
dataset
Supplementary Table 5. List of overlapping eGenes identified between GS, MG, MS and ALS
Sreemol Gokuladhas
2019-09-10T02:45:53Z
dataset
Supplementary Table 4. Summary statistics of the significant eQTLs from CoDeS3D run performed with GS, MG, MS and ALS SNPs on Psoas muscle Hi-C dataset.
Sreemol Gokuladhas
2019-09-10T02:35:33Z
dataset
Supplementary Table 3. Summary statistics of the significant eQTLs from CoDeS3D run performed with GS, MG, MS and ALS SNPs on Immortalized cell lines (GM12878, IMR90, HMEC, NHEK, K562, HUVEC, HeLa and KBM7)
Sreemol Gokuladhas
2019-09-10T02:23:39Z
Maximising the value of GenV Cohort 2020s, Data Innovation and Bio Discovery: Research Methodology Brainstorming Sessions and Survey
Sarah Davies
2019-06-17T09:28:09Z
What Parents Think About Children’s Data Contributing To Research
Melissa Wake
2019-06-13T05:05:30Z
Longitudinal Study of Australian Children's Child Health CheckPoint Data User Guide – December 2018
Susan Clifford
2018-11-29T23:22:20Z
Longitudinal Study of Australian Children's Child Health CheckPoint Data Issues Paper – December 2018
Sarah Davies
2018-11-28T20:56:15Z
