Profiling gene expression using onto-express
Profiling gene expression using onto-express
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DOI：
10.1006/geno.2002.6698
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发表时间：
2002-02-01
期刊：
影响因子：
4.4
通讯作者：
Krawetz, SA
中科院分区：
文献类型：
--
作者：
Khatri, P;Draghici, S;Krawetz, SA
通过微阵列或数据挖掘分析获得的基因表达谱通常以大量数据串的形式存在。为了解释这些遗传图谱的生物学特性，研究人员必须在其他信息（例如翻译蛋白的生物学、生化或分子功能）的背景下分析这些数据。这对于人类分析师来说尤其具有挑战性，因为大量不相关的数据通常会掩盖此类信息。为了满足这一需求，我们实施了一个名为 Onto-Express (http://vortex.cs.wayne.edu:8080) 的自动化程序，以系统地将遗传指纹转化为功能图谱。 Onto-Express 使用登录号或簇识别号字符串搜索公共数据库并返回将表达谱与翻译蛋白的细胞遗传学位置、生化和分子功能、生物过程、细胞成分和细胞作用相关联的表格。 Onto-Express 创建的概况通过促进定量值集转换为包含生物学意义的记录，从根本上增加了基因表达分析的价值。
Gene expression profiles obtained through microarray or data mining analyses often exist as vast data strings. To interpret the biology of these genetic profiles, investigators must analyze this data in the context of other information such as the biological, biochemical, or molecular function of the translated proteins. This is particularly challenging for a human analyst because large quantities of less than relevant data often bury such information. To address this need we implemented an automated routine, called Onto-Express (http://vortex.cs.wayne.edu:8080), to systematically translate genetic fingerprints into functional profiles. Using strings of accession or cluster identification numbers, Onto-Express searches the public databases and returns tables that correlate expression profiles with the cytogenetic locations, biochemical and molecular functions, biological processes, cellular components, and cellular roles of the translated proteins. The profiles created by Onto-Express fundamentally increase the value of gene expression analyses by facilitating the translation of quantitative value sets to records that contain biological implications.