• Share
  • Email
  • Embed
  • Like
  • Save
  • Private Content
Adac intro
 

Adac intro

on

  • 273 views

Advanced Data Analysis (ADAC) Centre

Advanced Data Analysis (ADAC) Centre

Statistics

Views

Total Views
273
Views on SlideShare
271
Embed Views
2

Actions

Likes
0
Downloads
1
Comments
0

2 Embeds 2

https://www.linkedin.com 1
http://www.linkedin.com 1

Accessibility

Categories

Upload Details

Uploaded via as Adobe PDF

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Processing…
Post Comment
Edit your comment

    Adac intro Adac intro Document Transcript

    • Wed 2nd Oct 2013 1ADAC Launch Event University of Nottingham Advanced Data Analysis Centre ADAC Launch Event 2nd October 2013 http://www.nottingham.ac.uk/adac/ General enquiries: adac@nottingham.ac.uk Bioinformatics queries: richard.emes@nottingham.ac.uk Informatics queries: jon.garibaldi@nottingham.ac.uk @ADAC_UoN Wed 2nd Oct 2013 ADAC Launch Event University of Nottingham 2 What is ADAC? The Advanced Data Analysis Centre (ADAC) was funded by the University Strategic Development Fund to support research by the analysis and interpretation of complex data. Why is this important? •  Complex data underpins current research •  Innovative analysis can prompt new discoveries •  Excellent research can often be stalled due to a lack of expertise in conducting data analysis •  ADAC supports high-class research by providing analysts to help with •  development of a research strategy •  grant writing •  interpretation of complex data
    • Wed 2nd Oct 2013 ADAC Launch Event University of Nottingham 3 Meet the Team: Dr Richard Emes Director of Bioinformatics: Integration of genetic/genomic data, comparative genomics and molecular evolution. Professor Jon Garibaldi Director of Informatics: development of artificial intelligence techniques for biomedical decision support. Dr Dov Stekel Integrative Systems Biology. Dr Grazziela Figueredo. Data analyst: multi-scale modelling and simulation Dr Tom Giles Data analyst: bioinformatics of high throughput genomic data Dr Jo Moreton Data analyst: bioinformatics of high throughput genomic data Dr Daniele Soria Data analyst: artificial intelligence and modelling Wed 2nd Oct 2013 ADAC Launch Event University of Nottingham 4 Current Areas of expertise: •  Integration of complex datasets •  Microarray, second generation sequencing •  Comparative genomics •  Identification of biomarkers from genetic and epigenetic datasets •  Artificial intelligence for decision support •  Machine Learning •  Data Management
    • Activity Summary •  Projects –  contributed to around 20 projects so far •  Income –  approximately £100k grant income secured to ADAC •  Outputs –  seven manuscripts with ADAC co-authors •  acknowledgement for more minor contribution: none yet –  assisted in preparation of over ten external grant submissions –  contribution to an external grant milestone 5Wed 2nd Oct 2013 ADAC Launch Event University of Nottingham Wed 2nd Oct 2013 ADAC Launch Event University of Nottingham 6 Professor Saul Tendler, PVC Research Dr Alistair Hulme: Quantitative analysis of organelle transport in micro-patterned cells Dr Paddy Tighe: High-content intracellular signaling pathway analysis for drug repurposing Dr Nigel Mongan: Cancer Models: Of mice, men and dogs? Professor Kevin Morgan: Deciphering biomarker patterns in Alzheimer's Professor David Walker: Gathering emotion data from sailing events Dr Ian Fisk: Satiation management through flavour delivery Professor Graham Seymour: A new frontier: the epigenetic control of fruit ripening !
    • Example Interactions •  Data generation –  bioinformatic: wet-lab experimentation –  informatic: data acquisition devices / software •  Primary data analysis –  clustering; classification; complex / specialist analysis pipelines –  performing statistical tests •  semi-independent hypothesis testing –  presentation of results (effective graphs, etc.) for manuscripts •  Advice –  what type of data to collect –  how many samples required –  which analysis methods / tools to use 7Wed 2nd Oct 2013 ADAC Launch Event University of Nottingham 8 •  Available to provide (limited) support without cost –  collaborative (pilot) projects with deliverables •  publications •  proposal submissions –  small ‘micro’ tasks •  e.g. preparing data analysis work packages on proposals •  Available to be costed on proposals –  flexible data analysis work packages •  from days to months to years of time, not necessarily contiguous •  Added value to existing projects –  additional publications at project end –  data archiving at project end •  Across all UoN, and externally (academic / industrial) Monday, 7 October 13 Example Modalities
    • 9 ADAC impact Monday, 7 October 13