Streptomyces IGF bioinformatics support service - PowerPoint PPT Presentation

1 / 22
About This Presentation
Title:

Streptomyces IGF bioinformatics support service

Description:

'The IGF initiative was launched in 1999 to fund consortia to develop access to ... Ability to export MAGE-ML files. Satisfying demands of high-end journals ... – PowerPoint PPT presentation

Number of Views:147
Avg rating:3.0/5.0
Slides: 23
Provided by: dbkg
Category:

less

Transcript and Presenter's Notes

Title: Streptomyces IGF bioinformatics support service


1
Streptomyces IGF bioinformatics support service
  • (1) data capture

2
Plan
  • IGF initiative
  • bioinformatics goals my role
  • Data capture in action

3
Investigating Genome Function
  • The IGF initiative was launched in 1999 to fund
    consortia to develop access to high throughput
    genomics technologies (eg micro-arrays and
    proteomics) and associated resources (eg mutant
    populations) for communities working on organisms
    key to the BBSRC remit.

4
COGEME / Streptomyces IGF Support Service
5
Who am I?
6
The Friendly Face of Bioinformatics
7
My role
  • Support
  • Deposition
  • Analysis
  • Consultancy
  • Policies
  • Data standards
  • IT infrastructure

8
Consultancy
  • Working group
  • Policies
  • Data deposition
  • Data analysis services
  • IPR credit
  • Terms for describing experiments
  • Rate my attributes
  • IT infrastructure
  • charting Pipeline requirements
  • feeding back maxd bugs

9
Support
  • StreptoBASE
  • Portal web site
  • Support Centre
  • Microarray Data Repository
  • built with maxd
  • MIAME

10
Support Centre
11
Microarray Data Repository
12
Microarray Data Repository
13
Microarray Data Capture
  • Whats in it for you

14
Direct benefits 1
  • Force thought about experimental design
  • Ability to export MAGE-ML files
  • Satisfying demands of high-end journals
  • Allow various systems to interpret your data
  • Databases, querying and analysis tools

15
Direct benefits 2
  • Post-docs and students leave
  • Data not fully exploited
  • Unexplored avenues
  • Comparisons with future results
  • Lab books vary in quality

16
Direct Benefits 3
  • Support
  • Deposition
  • Analysis
  • Conditions
  • Data must be deposited
  • Acknowledgement / Collaboration

17
Indirect Benefits 1
  • A transcriptome resource for everyone
  • Numbers meaningless alone
  • Resource stores the context
  • Complex queries
  • E.g., please find all the genes upregulated under
    drug treatment x in experiment 204 from Jones
    lab, where transcription is not significantly
    affected in any of mutant in list y of
    experiments 14-58 in Smiths lab, that have
    ontology terms related to metabolism and

18
Indirect Benefits 2
  • Pipeline

DNA
RNA
proteins
metabolites
Normalisation QC Analysis
really complex queries
19
Indirect Benefits 3
  • Dialog
  • Model tool validation
  • Foster links between you and CS

20
(No Transcript)
21
Help!
  • StreptoBASE Pipeline need data
  • Raison dĂȘtre
  • Needs testing with real experiments
  • Need to foster collaboration between CS and
    biology groups

22
(No Transcript)
Write a Comment
User Comments (0)
About PowerShow.com