Knowledge-based bioinformatics for the study of mammalian oocytes

Francesca Mulas, Lucia Sacchi, Lan Zagar, Silvia Garagna, Maurizio Zuccotti, Blaz Zupan, Riccardo Bellazzi

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish
Pages (from-to)859-866
Number of pages8
JournalInternational Journal of Developmental Biology
Issue number10-12
Publication statusPublished - 2012


  • Database
  • Knowledge extraction
  • Oocyte
  • Stem cell

ASJC Scopus subject areas

  • Developmental Biology
  • Embryology


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