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|Autori: ||Nigita, Giovanni|
|Titolo: ||Knowledge bases and stochastic algorithms for mining biological data: applications on A-to-I RNA editing and RNAi|
|Abstract: ||Until the second half of twenty century, the connection between Biology and
Computer Science was not so strict and the data were usually collected on
perishable materials such as paper and then stored up in filing cabinets.
This situation changed thanks to the Bioinformatics, a relatively novel
field that aims to deal with biological problems by making use of computational
approaches. This interdisciplinary science has two particular fields of
action: on the one hand, the construction of biological databases in order to
store in a rational way the huge amount of data, and, on the other hand, the
development and application of algorithms also approximate for extracting
predicting patterns from such kind of data.
This thesis will present novel results on both of the above aspects. It
will introduce three new database called miRandola, miReditar and VIRGO,
respectively. All of them have been developed as open sources and equipped
with user-friendly web interfaces.
Then, some results concerning the application of stochastic approaches on
microRNA targeting and RNA A-to-I interference will be introduced.|
|In||Area 01 - Scienze matematiche e informatiche|
|NGTGNN85E22C927F-PhDThesis_Giovanni_Nigita.pdf||PhDThesis_Giovanni_Nigita||5,93 MB||Adobe PDF||Visualizza/apri
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