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Genomic Innovations- Orthology Paralogy

Genomic Innovations- Orthology Paralogy. Genomic innovation

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Page 1: Genomic Innovations- Orthology Paralogy. Genomic innovation

Genomic Innovations-Orthology Paralogy

Page 2: Genomic Innovations- Orthology Paralogy. Genomic innovation

Genomic innovation

Page 3: Genomic Innovations- Orthology Paralogy. Genomic innovation

Genomic innovation

Moore, Current opinion in Plant Biology, 2005

Page 4: Genomic Innovations- Orthology Paralogy. Genomic innovation

Genomic innovation- Paralogy

Cotton, Methods in Enzymology, 2005

Page 5: Genomic Innovations- Orthology Paralogy. Genomic innovation

Homology, Orthology, Paralogy

Homology is a relation between a pair of genes that share a common ancestor.

Orthology is a relation defined over a pair of homologous genes,

where the two genes have emerged through a

speciation event

Paralogy is a relation defined over a pair of

homologous genes that have emerged through

a gene duplication

A.M. Altenhoff and C. Dessimoz, Inferring Orthology and Paralogy

Page 6: Genomic Innovations- Orthology Paralogy. Genomic innovation

In and out Paralogy

In-paralogy if they are paralogs and duplicated

after the speciation event of reference

Out-paralogy if the duplication event

through which they arerelated to each other

predates the speciation event of reference

Page 7: Genomic Innovations- Orthology Paralogy. Genomic innovation

Ensembl

A joint project between EMBL - European Bioinformatics Institute (EBI) and the Wellcome

Trust Sanger Institute (WTSI)

A genome browser for the retrieval of genomic information

http://www.ensembl.org

Page 8: Genomic Innovations- Orthology Paralogy. Genomic innovation

BioMart

BioMart is a search engine that can find multiple terms and put them into a table format.

Such as: human gene (IDs), chromosome and base pair position

Page 9: Genomic Innovations- Orthology Paralogy. Genomic innovation

BioMart

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1) Choose the species of interest (Dataset)

2) Decide what you would like to know about the genes (Attributes)

(sequences, IDs, description…)

3) Decide on a smaller geneset using Filters. (enter IDs, choose a region …)

How does BioMart work?

Page 11: Genomic Innovations- Orthology Paralogy. Genomic innovation

Choose the species of interest

Choose the gene set

Choose the information you

want to view

BioMart

Page 12: Genomic Innovations- Orthology Paralogy. Genomic innovation

Choose the species of interest:

Homo sapiens is the default

BioMart

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What we want to know about the

gene

BioMart

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Choose a gene set by region, gene ID…

BioMart

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What are the gene IDs of all mouse protein coding genes on chromosome 10?

An example:

Page 16: Genomic Innovations- Orthology Paralogy. Genomic innovation

What are the gene IDs of all mouse protein coding genes on chromosome 10?

An example:

Attributes: what we want to know:

Gene IDs

Filters: What we know:Mouse genesProtein codingChromosome 10

Page 17: Genomic Innovations- Orthology Paralogy. Genomic innovation

Change dataset to mouse

An example:

Page 18: Genomic Innovations- Orthology Paralogy. Genomic innovation

An example:

Click on Attributes to choose what we

want to know

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An example:

Click on gene and select gene ID

Page 20: Genomic Innovations- Orthology Paralogy. Genomic innovation

An example:

Click on Filters

Expend region

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An example:

Choose chromosome 10

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An example:

Expend Gene

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An example:

Select Gene type: Protein coding

Page 24: Genomic Innovations- Orthology Paralogy. Genomic innovation

An example:

Click on Results

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An example:

Page 26: Genomic Innovations- Orthology Paralogy. Genomic innovation

An example:

Page 27: Genomic Innovations- Orthology Paralogy. Genomic innovation

An example:

Page 28: Genomic Innovations- Orthology Paralogy. Genomic innovation

Sequences: UTRs, flanking sequences, cDNA and peptides, etc

Gene IDs from Ensembl and external sources (MGI, Entrez, etc.)

Microarray data

Protein Functions/descriptions (Interpro, GO)

Orthologous gene sets

SNP/ Variation Data

What else can we do with BioMart?