High-throughput computational methods and software for quantitative trait locus (QTL) mapping

Arends, D. 2014 174 p.

Research output: ScientificDoctoral Thesis

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  • Danny Arends
In recent years many new technologies such as tiling arrays and high-throughput sequencing
have come to play an important role in systems genetics research. For researchers it is of
the utmost importance to understand how this affects their research. This work describes
possible solutions to this ‘Big Data’ avalanche which has hit systems genetics.

This thesis describes the work carried out during the author’s 4 year PHD project at the
Groningen Bioinformatics Centre to develop smarter and more optimized algorithms such
as Pheno2Geno and MQM, and to use a collaborative approach such as xQTL workbench to
store and analyse high-throughput systems genetics data.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
Award date17-Oct-2014
Print ISBNs978-90-367-7210-5
Electronic ISBNs978-90-367-7209-9
StatePublished - 2014

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