Course Overview: The goal of the H3ABioNet Data Management workshop is to prepare H3Africa researchers for management of their data, including knowing what data to collect, what file formats, etc. to use. The course will present options for setting up and storing patient data, discuss the EGA requirements to ensure the researchers collect all the necessary data, and determine the computational needs for storing, processing and mining of the data.
Keywords: Data handling, Genomics, Genetics, Biological data resources, Protein analysis, Sequence analysis, Systems Biology, Structure Analysis
Language: English
Skill level: Advanced
Type of training: face-to-face / in person
Credential awarded: none
Proposed workshop outcomes: The outcome will be that researchers have a better idea of what to expect when their data is generated and how to manage this data effectively.
Proposed workshop relevance: Most of the H3Africa projects are in the stage of data generation and it is important that they know as soon as possible what is involved in data collection and management.
Target audience of the proposed workshop: Data managers from the H3Africa research projects.
Applications are now closed.
Programme:
Presentation |
Topic |
Description (Recorded Lecture) |
Speaker (Slides) |
1 |
H3Africa data access policy |
Detail the H3Africa data sharing and access policy, and H3ABioNet's role |
|
2 |
Data consent |
||
3 |
LIMS systems |
||
4 |
LIMS systems |
||
5 |
LIMS systems |
||
6 |
LIMS systems |
Freedom Mukomana5 |
|
7 |
Patient databases |
OpenMRS |
|
8 |
Patient databases |
||
9 |
EBI Variation Resources |
||
10 |
EGA and SRA |
EGA overview,process of submission (NGS and GWAS), data required, metadata, formats etc. |
Ilkka Lappalainen6 |
11 |
EVA |
Ilkka Lappalainen6 |
|
12 |
DGVA |
Ilkka Lappalainen6 |
|
13 |
H3Africa phenotypes |
||
14 |
H3ABioNet archive solution |
||
15 |
GWAS |
||
16 |
GWAS |
||
17 |
GWAS |
||
18 |
GWAS |
||
19 |
NGS data |
||
20 |
NGS data |
||
21 |
NGS data |
||
22 |
GWAS Downstream analysis |
||
23 |
Public datasets |
Where to find them, Ensembl, USCS, extracting data using Galaxy, BioMarts |
|
24 |
Data management |
1: University of Cape Town, 2: BIKA laboratories, 3: South African National Bioinformatics Institute, 4: Jembi Health Systems, 5: University of the Witwatersrand, 6: European Genome-phenome Archive, 7: University of Illinois.
Group picture of participants and speakers for the H3ABioNet Data Management 2014 workshop.
Training Materials Availability:
Training materials for this course are available as a single downloadable archive here: https://doi.org/10.25375/uct.19130024. Should you re-use any of these materials, please ensure that both the author/s of the material AND H3ABioNet are clearly credited.