Ανάπτυξη υπολογιστικών μεθόδων για τον χαρακτηρισμό κωδικών περιοχών και UTR’s

Postgraduate Thesis uoadl:1310037 68 Read counter

Unit:
Κατεύθυνση Βιοστατιστική
Library of the School of Health Sciences
Deposit date:
2011-06-08
Year:
2011
Author:
Στύλλου Αικατερίνη
Supervisors info:
Άρτεμις Χατζηγεωργίου Ερευνήτρια Β΄,ΕΚΕΒΕ-Φλέμινγκ
Original Title:
Ανάπτυξη υπολογιστικών μεθόδων για τον χαρακτηρισμό κωδικών περιοχών και UTR’s
Languages:
Greek
Summary:
Recent studies have shown that the majority of transcripts do not belong in the
2% of protein encoding transcripts (coding RNAs) but function as noncoding RNAs
instead. In vivo experiments have demonstrated important biological roles of
noncoding RNAs, such as regulation of transcription and translation. This,
coupled with the huge numbers of transcripts generated by cDNA and EST
sequencing projects, necessitates the development of methods that automate the
distinguishing of protein-coding RNAs from noncoding RNAs. The main purpose of
this thesis is to examine the performance of four such methods. The four
methods are: Coding Potential Calculator (CPC), ESTExplorer, OrfPredictor and
OrfFinder. Our main goal is to find the method or combination of the four
methods that achieves the best prediction of coding and noncoding RNAs of the
human genome. The prediction of the coding RNAs involves identifying the
correct boundaries of the respective coding regions and thereby the right
limits of the 3’ and 5’ un-translated regions.
Keywords:
Bioinformatics, Complementary DNA, Human genome, Coding region prediction, 3’ and 5’-UTR prediction
Index:
Yes
Number of index pages:
6-12
Contains images:
Yes
Number of references:
23
Number of pages:
88

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