Safran Marilyn, Solomon Irina, Shmueli Orit, Lapidot Michal, Shen-Orr Shai, Adato Avital, Ben-Dor Uri, Esterman Nir, Rosen Naomi, Peter Inga, Olender Tsviya, Chalifa-Caspi Vered, Lancet Doron
Departments of Molecular Genetics Biological Services (Bioinformatics Unit) Molecular Cell Biology, The Weizmann Institute of Science, Rehovot, Israel.
Bioinformatics. 2002 Nov;18(11):1542-3. doi: 10.1093/bioinformatics/18.11.1542.
In the post-genomic era, functional analysis of genes requires a sophisticated interdisciplinary arsenal. Comprehensive resources are challenged to provide consistently improving, state-of-the-art tools.
GeneCards (Rebhan et al., 1998) has made innovative strides: (a). regular updates and enhancements incorporating new genes enriched with sequences, genomic locations, cDNA assemblies, orthologies, medical information, 3D protein structures, gene expression, and focused SNP summaries; (b). restructured software using object-oriented Perl, migration to schema-driven XML, and (c). pilot studies, introducing methods to produce cards for novel and predicted genes.
在后基因组时代,基因的功能分析需要一套复杂的跨学科工具。全面的资源面临着提供持续改进的、最先进工具的挑战。
基因卡片(Rebhan等人,1998年)取得了创新性进展:(a)定期更新和增强,纳入了富含序列、基因组位置、cDNA组装、直系同源基因、医学信息、三维蛋白质结构、基因表达和聚焦SNP摘要的新基因;(b)使用面向对象的Perl对软件进行重组,迁移到模式驱动的XML;以及(c)开展试点研究,引入为新基因和预测基因制作卡片的方法。