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BIOINFORMATICS DATA PROFILING TOOLS: A PRELUDE TO METABOLIC PROFILING

机译:生物信息学数据分析工具:代谢分析的前奏

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The term metabolic profiling is often used to denote the systematic characterization of the unique biochemical trails or fingerprints left behind by cellular processes. Advances in computational biosciences are often invaluable in dealing with the huge amount of raw data generated from the countless biochemical intermediates that flood the cell at any given time. As a prelude to metabolic profiling, it is essential to completely profile and compile all related information about the genetic and proteomic data. Profiling tools in bioinformatics refer to all those software (web based and downloadable) that compile all related information in single user-interfaces. Generally, these interfaces take a query such as a DNA, RNA, or protein sequence or keyword; and search one or more databases for information related to that sequence. Summaries and aggregate results are provided in a single standardized format that would otherwise have required visits to many smaller sites or direct literature searches to compile. In other words they are software portals or gateways that simplify the process of finding information about a query in the large and growing number of bioinformatics databases.
机译:术语代谢分析通常用于表示通过细胞过程留下的独特生物化学痕迹或指纹的系统特征。计算生物科学的进步通常在处理从在任何给定时间淹没细胞的无数生物化学中间体产生的大量原始数据中是无价的。作为代谢分析的前奏,必须完全概况并编制有关遗传和蛋白质组学数据的所有相关信息。生物信息学中的分析工具是指在单个用户界面中编译所有相关信息的所有这些软件(基于Web和可下载的)。通常,这些界面采用诸如DNA,RNA或蛋白质序列或关键字的查询;并搜索一个或多个数据库以获取与该序列相关的信息。摘要和聚合结果以单一的标准化格式提供,否则将需要访问许多较小的网站或直接文献搜索以编译。换句话说,它们是软件门户或网关,可以简化关于在大型和越来越多的生物信息学数据库中查找有关查询信息的过程的过程。

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