首页> 外文期刊>Nucleic Acids Research >SerbGO: searching for the best GO tool.
【24h】

SerbGO: searching for the best GO tool.

机译:SerbGO:寻找最佳的GO工具。

获取原文
获取原文并翻译 | 示例
           

摘要

In recent years, the scientific community has provided many tools to assist with pathway analysis. Some of these programs can be used to manage functional annotation of gene products, others are oriented to exploring and analyzing data sets and many allow both possibilities. Potential users of these tools are faced with the necessity to decide which of the existing programs are the most appropriate for their needs. SerbGO is a user-friendly web tool created to facilitate this task. It can be used (i) to search for specific functionalities and determine which applications provide them and (ii) to compare several applications on the basis of different types of functionalities. Iterating and combining both functionalities can easily lead to selecting an appropriate tool. Data required by SerbGO is either the desired capabilities within a defined Standard Functionalities Set or the list of the tools to be compared. The analysis performed carries out a cross-classification that produces an easily readable output with the list of tools that implement the capabilities demanded or a table with the categorization of the GO tools that one wishes to compare. SerbGO is freely available and does not require a login. It can be accessed either directly at our server (http://estbioinfo.stat.ub.es/apli/serbgo) or at the GO Consortium website (http://www.geneontology.org/GO.tools.microarray.shtml#serbgo).
机译:近年来,科学界提供了许多工具来协助进行路径分析。这些程序中的一些可用于管理基因产物的功能注释,其他一些则用于探索和分析数据集,并且许多程序都允许这两种可能性。这些工具的潜在用户必须确定哪些现有程序最适合他们的需求。 SerbGO是一种易于使用的网络工具,旨在简化此任务。它可用于(i)搜索特定功能并确定哪些应用程序提供它们,以及(ii)根据不同类型的功能比较多个应用程序。迭代和组合这两种功能很容易导致选择合适的工具。 SerbGO所需的数据要么是已定义的“标准功能集”中的所需功能,要么是要比较的工具列表。进行的分析将进行交叉分类,该交叉分类将生成易于阅读的输出,其中包含实现所需功能的工具列表或带有希望比较的GO工具分类的表格。 SerbGO是免费提供的,不需要登录。可以直接在我们的服务器(http://estbioinfo.stat.ub.es/apli/serbgo)或GO Consortium网站(http://www.geneontology.org/GO.tools.microarray.shtml)上访问它。 #serbgo)。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号