Efficient storage and analysis of high-dimensional metabolic data

From Master Projects
Jump to: navigation, search


Efficient storage and analysis of high-dimensional metabolic data
status: finished
Student name: student name::Maarten Reitsema
Dates
Start start date:=2014/09/01
End end date:=2015/01/31
Supervision
Supervisor: Douwe Molenaar
Thesis: has thesis::Media:Thesis.pdf
Poster: has poster::Media:Posternaam.pdf

Signature supervisor



..................................

Abstract

About Efficient storage and analysis of high-dimensional metabolic data


Description

Aim of this project is to describe and compare basic metabolism of cancer cell versus non-cancer cell with focus on phenomenon called Warburg effect. Cancer cells often show metabolism where they utilize glucose to produce lactate (Warburg effect), which is energetically inefficient compared to oxidative phosphorylation. Full explanation of this phenomenon has never been provided. In our lab we have a cell systems and analytical tools that enable us to study this phenomenon, however during the experiments we produce large data sets, multiple sample analysis, all kinds of data expressions. The challenges of this project are: 1) organizing data collection and storage and 2) analyzing and presenting data from experiments with cancer cells.

Skills: construction and use of SQL databases, and analysis of big data sets (using R, for example).