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Introduction to Genomics

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Knowledge of the whole genome of an organism ... Crop circles. Gale & Devos. UoN Graduate School Course on Post-genomics and bio-informatics ... – PowerPoint PPT presentation

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Title: Introduction to Genomics


1
  • Introduction to Genomics

2
Post genomics ?Knowledge of the function of a
genome
  • What is genomics ?
  • Knowledge of the whole genome of an organism

3
  • Why sequence a genome ?
  • How do you sequence a genome ?

4
  • Many organisms have now been sequenced

5
  • A new sequencing project
  • How would you start ?

Rapid lifecycle Apomyctic Commercial
interest Transgenics ? Genome size ? Linkage
groups ? Funding ?
Slow lifecycle Can be cloned Commercial
interest Transgenics ? Genome size ? Linkage
groups ? Funding ?
6
  • Practical step 1.
  • Do you have a model framework to fix your
    genome on ?
  • Synteny

7
Crop circles
Gale Devos
8
Cat vs human synteny
Why cats ?
9
Human/Mouse Synteny
-The order of genes within eachblock of DNA is
conserved in different species even though the
blocks have assembled to give vastly different
numbers length of chromosomes
10
  • - orientation of genes are conserved too
  • - Gene pairs that are syntenic are most likely
    orthologous (direct evolutionary counterpart
    Related by vertical descent)

11
Human/mouse synteny (gene level)
- Gene structures such as regulatory regions,
splice sites, exon number, exon length and
sequence similarity (DNA and protein level) tend
to be more conserved - Intronic sequences and
length tend to be less conserved
12
  • Step 2.
  • Map your genome
  • Genetic maps
  • Physical maps

13
Arabidopsis recombinant inbred maps micro-linkag
e groups Made from the performance or markers
across 2-300 lines
14
  • Step 3.
  • Break your genome up into manageable fragments
  • YAC
  • BAC
  • Cosmids
  • ESTs (expressed sequence tags)

15
STS (sequence tagged site) Short (200 to 500 bp)
DNA sequence that has a single occurrence in the
genome and whose location is known.
16
Minimal tiling path
BAC tiling path - mouse
17
  • Sequence the bitsOld fashioned. -OR-
    next-gen Solexa (surface reversible) 454
    (bead pyro)
  • Stick on ESTs to show regions of genes
  • Analyse by example (training sets) to develop
    in-silico predictions of unknown genes.

18
  • Global analysis
  • What does the genome look like ?

19
What do the genes do ?
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