Bioinformatics tools have been recently applied to study the differentiation of the mammalian oocyte during folliculogenesis. In this review we will summarize our knowledge on 1) the use of biological data bases for the extraction of relevant information, 2) bioinformatics methods for knowledge extraction and representation, 3) the application of these methods to the study of the mammalian oocyte differentiation, and 4) state-of the-art prediction approaches for the assessment and estimation of the cell differentiation status.
Knowledge-based bioinformatics for the study of mammalian oocytes / Francesca, Mulas; Lucia, Sacchi; Lan, Zagar; Silvia, Garagna; Zuccotti, Maurizio; Blaz, Zupan; Riccardo, Bellazzi. - In: THE INTERNATIONAL JOURNAL OF DEVELOPMENTAL BIOLOGY. - ISSN 0214-6282. - 56:10-11-12(2012), pp. 859-866. [10.1387/ijdb.120138fm]
Knowledge-based bioinformatics for the study of mammalian oocytes
ZUCCOTTI, Maurizio;
2012-01-01
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 on 1) the use of biological data bases for the extraction of relevant information, 2) bioinformatics methods for knowledge extraction and representation, 3) the application of these methods to the study of the mammalian oocyte differentiation, and 4) state-of the-art prediction approaches for the assessment and estimation of the cell differentiation status.| File | Dimensione | Formato | |
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