Introduction to Array analysis and Genespring workgroup at NASC PowerPoint PPT Presentation

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Title: Introduction to Array analysis and Genespring workgroup at NASC


1
Introduction to Array analysis and Genespring
workgroup at NASC
  • Neil Graham

2
NASC Affymetrix service(http//affymetrix.arabido
psis.info)
  • Affymetrix service started in 2002
  • All Affymetrix arrays supported (all species,
    tiling, exon, SNP etc)
  • Arabidopsis data automatically added to
    NASCarrays database and GEO, arrayexpress
  • 350 (including ATH1, tomato), 450 (including
    Human, mouse)

3
NASCarrays database
  • MIAME compliant database
  • Contains gt3000 hybridisations
  • Associated analysis tools spot history, gene
    swinger, digital northern

How do you fully analyse the data?
4
Analysis
  • Analysis will depend on what you are trying to
    get out of your experiment?
  • What file types have you got?
  • Number of replicates
  • Up / down regulated genes
  • Genes with similar expression patterns

5
Normalisation
  • Reduces variation to enable comparison between
    slides
  • Variation between hybridisation of probes
  • Variation across slide
  • Variation between slides

6
Normalisation of probe values
  • 11 probe sets per gene need method to produce
    single value
  • Variety of methods
  • MAS 5 (affymetrix software)
  • RMA (Genespring)
  • MBEI (dCHip)

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MAS 5
  • Subtracts background reading form each probe
  • Uses both PM and MM probes

Siganl TukeyBiweightlog(PM IM)
For a probe set Tukeys Biweight is an average
that minimises the effect of outliers. IM is the
ideal mismatch. This is the same as the MM
intensity, except in the case where the MM is
greater than the PM, in which case a new MM
values is calculated based on other probes nearby
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Signal normailsation
  • To try to eliminate chip-to-chip variability.
  • Sort the signal values and remove the top and
    bottom 2
  • Calculate a scaling factor to adjust this middle
    96s mean to 100 (configurable, and variable)
  • Multiply all signal values by the scaling factor

9
RMA
  • Robust Multichip Average
  • Uses a set of arrays
  • Only uses PM values to produce signal values
  • Background adjustment (based on all MM)
  • Qauntile normalisation adjusts intensities to
    produce identical intensities

10
Clustering
  • Mathematical method of grouping together genes
    with similar expression patterns
  • Not based of signal intensity
  • Hierarchical
  • K means
  • Self organising maps

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Hierarchical
  • All genes compared to each other
  • Produces a tree showing distances between genes

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K means
  • Select how many clusters (K)
  • Genes randomly assigned to these clusters
  • Genes compared to mean of each cluster
  • If gene closer to mean of other cluster them
    moved
  • Means of clusters recalculated and process
    repeated

13
Excel Analysis
  • Files downloaded from NASCarrays
  • Already normalised- MAS
  • Replicate variation
  • Up / down regulated genes
  • Further analysis, ontologies, promoter motifs

14
Genespring
  • Powerful package
  • Statistical tests
  • Clustering
  • Pathway analysis
  • Promoter analysis

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Genespring workgroup at NASC
  • Allows easy access and analysis of all data in
    NASCarrays including .CEL files
  • Whole experiments or sets of .CEL files can be
    downloaded and analysed
  • Workgroup can be accessed in 3 ways

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Web based viewer(http//genespring.arabidopsis.in
fo)
  • Used to view and download data in workgroup

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Web based viewer(http//genespring.arabidopsis.in
fo)
  • View experiments, gene lists in a range of ways

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Web based viewer(http//genespring.arabidopsis.in
fo)
  • Download experiments, gene lists etc

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Genespring viewer
  • Stand alone application free to download
  • Cut down version of Genespring GX
  • Use to view data and perform simple analysis

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Genespring viewer
  • Download installer from web viewer page

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Genespring viewer
  • Multiple ways to view experiments

Box plot
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Genespring viewer
  • Generate Venn diagrams of gene lists

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Genespring viewer
  • Find similar genes

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Genespring GX
  • Extensive visualisation and analysis tools
  • Download any sample from workgroup and create new
    experiments

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Genespring GX
  • Find differentially expressed genes

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Genespring GX
  • Clustering (K means, gene trees, condition trees
    etc)

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Access to workgroup
  • Access requires username and password
  • Web viewer available at http//genespring.arabid
    opsis.info
  • Genespring viewer installer can be downloaded
    from web page
  • Genespring GX either using your own licence or
    NASC licence (5 concurrent licences available)

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More information
  • General information can be found at
    http//affymetrix.arabidopsis.info/workgroup.html
  • Web viewer available from http//genespring.arabi
    dopsis.info
  • For inquires and information about usernames
    contact genespring_at_arabidopsis.onfo

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Practical
  • Demonstration of NASCarrays
  • Analysis of data using excel
  • Viewing data set in Genespring
  • After lunch hands-on training on using Genespring
    loading data, creating experiments, basic
    analysis techniques
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