Category: 2009 WS Online Lectures

Constraint-based reconstruction and analysis of metabolic and regulatory networks – Lars Nielsen

Implicit in the collection of high ‐ throughput data is an assumption that computational models ultimately will facilitate biological discovery, reconciliation of heterogeneous data types, identify inconsistencies and enable the systematic generation of hypotheses. Current naïve statistical models fall well … Read more


Constraint-based reconstruction and analysis of metabolic and regulatory networks (Part 2) – Lars Nielsen

Implicit in the collection of high ‐ throughput data is an assumption that computational models ultimately will facilitate biological discovery, reconciliation of heterogeneous data types, identify inconsistencies and enable the systematic generation of hypotheses. Current naïve statistical models fall well … Read more


Constraint-based reconstruction and analysis of metabolic and regulatory networks (Part 1) – Lars Nielsen

Implicit in the collection of high ‐ throughput data is an assumption that computational models ultimately will facilitate biological discovery, reconciliation of heterogeneous data types, identify inconsistencies and enable the systematic generation of hypotheses. Current naïve statistical models fall well … Read more


Gene mapping with sequence data – Allan McRae

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Issues of coverage with next-generation sequencing and several applications – Daniel Marshall

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Statistical analysis of genome-wide association (GWAS) data – Jim Stankovich

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GWAS for quantitative traits – Peter Visscher

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Implementation 
of 
computational
 pipelines
 
to
 support
 next 
gen
 applications – Roberto Barrero

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