TY  - JOUR
TI  - Knowledge-based bioinformatics for the study of mammalian oocytes
AU  - Mulas, Francesca
AU  - Sacchi, Lucia
AU  - Zagar, Lan
AU  - Garagna, Silvia
AU  - Zuccotti, Maurizio
AU  - Zupan, Blaz
AU  - Bellazzi, Riccardo
T2  - The International Journal of Developmental Biology
AB  - 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.
PY  - 2012
DO  - 10.1387/ijdb.120138fm
VL  - 56
IS  - 10-11-12
SP  - 859
EP  - 866
J2  - Int. J. Dev. Biol.
LA  - en
SN  - 0214-6282
SN  - 1696-3547
UR  - https://ijdb.ehu.eus/article/120138fm
Y2  - 2024/04/27/20:57:37
ER  -