Print Email Facebook Twitter Inferring features from 5'UTR sequences to Translation Initiation Rates in S.cerevisiae Title Inferring features from 5'UTR sequences to Translation Initiation Rates in S.cerevisiae Author Thomaidou, Eftychia (TU Delft Electrical Engineering, Mathematics and Computer Science) Contributor Reinders, Marcel (mentor) Gritsenko, Alexey (mentor) Degree granting institution Delft University of Technology Date 2017-08-24 Abstract In this research, we studied the impact of the 5'UTR sequences on translation. This is done by generating various features describing the 5'UTR. Those features are then used as input in regression and classification models, that have the Translation Initiation Rates as target. The reason why it is of such importance, is dual. Because is very useful to be able to predict the initiation rates for new sequences and consequently be able to synthesize new sequences with high initiation rate. Additionally, it is important to understand which of the elements, located in the 5'UTR influence the translation initiation rates and thus the translation. Aim of this research is detecting those features from the 5'UTR of yeast's mRNA, that lead to higher translation initiation rates. In order to achieve this, data mining and machine learning techniques were used to build predictive models. To sum up, we have shown that predicting the exact initiation rates originating from stochastic models is not a trivial task and that many features are of no to little importance.Classification between low and high initiation rates seems to be more doable but there is still space for improvement and future research. Subject bioinformaticsMachine Learningtranslation initiation ratesS.cerevisiae To reference this document use: http://resolver.tudelft.nl/uuid:dbc6962c-d4d5-4dcb-b6d6-e832bfa05ad6 Part of collection Student theses Document type master thesis Rights © 2017 Eftychia Thomaidou Files PDF EThomaidouThesis.pdf 3.67 MB Close viewer /islandora/object/uuid:dbc6962c-d4d5-4dcb-b6d6-e832bfa05ad6/datastream/OBJ/view