Knowledge-based bioinformatics for the study of mammalian oocytes

被引：1

作者：

Mulas, Francesca ^{[1
]}

Sacchi, Lucia ^{[2
]}

Zagar, Lan ^{[3
]}

Garagna, Silvia ^{[1
,4
]}

Zuccotti, Maurizio ^{[5
]}

Zupan, Blaz ^{[1
,3
]}

Bellazzi, Riccardo ^{[1
,2
]}

机构：

[1] Univ Pavia, Ctr Tissue Engn, I-27100 Pavia, Italy

[2] Univ Pavia, Dipartimento Ingn Ind Informaz, I-27100 Pavia, Italy

[3] Univ Ljubljana, Fac Comp & Informat Sci, Ljubljana, Slovenia

[4] Univ Pavia, Dipartimento Biol & Biotecnol Lazzaro Spallanzani, Lab Biol Sviluppo, I-27100 Pavia, Italy

[5] Univ Parma, Dipartimento Sci Biomed Biotecnol & Traslaz, I-43100 Parma, Italy

来源：

INTERNATIONAL JOURNAL OF DEVELOPMENTAL BIOLOGY | 2012年 / 56卷 / 10-12期

关键词：

knowledge extraction; database; oocyte; stem cell; GENE-EXPRESSION; PLURIPOTENCY; TOOLS; EXTRACTION; NETWORKS; PATHWAYS; PROTEINS; DATABASE;

D O I：

10.1387/ijdb.120138fm

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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.

引用

页码：859 / 866

页数：8

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