Francesca Mulas and Lucia Sacchi and Lan Zagar and Silvia Garagna and Maurizio Zuccotti and Blaz Zupan and Riccado Bellazzi (2012) Knowledge-based bioinformatics for the study of mammalian oocytes. International Journal of Developmental Biology, 56 (10-12). pp. 859-866.
Abstract
Bioinformatics tools have been recently applied to study the differentiation of the mammalian oocyte during folliculogenesis. In this review, we will summarize our knowledge of 1) the use of biological databases for the extraction of relevant information, 2) bioinformatics methods for knowledge extraction and representation, 3) the application of these methods to the study of mammalian oocyte differentiation and 4) state-of the-art prediction approaches for the assessment and estimation of the cell differentiation status.
| Item Type: | Article |
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| Related URLs: | |
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| Institution: | University of Ljubljana |
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| Department: | Faculty of Computer and Information Science |
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| Divisions: | Faculty of Computer and Information Science > Bioinformatics Laboratory |
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| Item ID: | 2262 |
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| Date Deposited: | 22 Oct 2013 22:19 |
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| Last Modified: | 02 Dec 2013 13:37 |
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| URI: | http://eprints.fri.uni-lj.si/id/eprint/2262 |
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