University of Birmingham High throughput functional annotation and data mining with the Blast2GO suite

University of Birmingham High throughput functional annotation and data mining with the Blast2GO suite
复制标题

DOI:
--
复制
发表时间:
--
期刊:
--
影响因子:
--
通讯作者:
Stefan Go¨tz;Juan Miguel Garcı´a-Go´mez;Javier Terol;Tim D. Williams;Shivashankar H. Nagaraj;Marı´a
Stefan Go¨tz;Juan Miguel Garcı´a-Go´mez;Javier Terol;Tim D. Williams;Shivashankar H. Nagaraj;Marı´a
中科院分区:
其他
文献类型:
--
作者:
Stefan Go¨tz;Juan Miguel Garcı´a-Go´mez;Javier Terol;Tim D. Williams;Shivashankar H. Nagaraj;Marı´a

文献摘要

被引文献

相似文献

功能基因组学技术已广泛应用于模式和非模式物种的生物学研究。 DNA 或蛋白质序列的有效功能注释是成功应用这些方法的主要要求,因为基因产物的功能信息通常是解释实验结果的关键。因此,对生物信息学资源的需求日益增长,这些资源能够处理大量序列数据,产生有价值的注释结果,并且易于被正在进行功能基因组学项目的实验室访问。我们将 Blast2GO 套件作为一个面向生物学家的集成解决方案,用于基于基因本体词汇表对 DNA 或蛋白质序列进行高通量和自动功能注释。最突出的 Blast2GO 功能是:(i) 控制注释类型和强度的各种注释策略和工具的组合,(ii) 众多图形功能,例如用于基因集功能分析或描述性图表的交互式 GO-graph 可视化,(iii) 一般序列管理功能和 (iv) 高通量功能。我们使用 Blast2GO 框架对同源转移的注释行为及其对功能基因组学研究的影响进行了详细分析。我们的目标是为生物学家提供有用的信息,以在解决序列数据功能表征的任务时考虑。
Functional genomics technologies have been widely adopted in the biological research of both model and non-model species. An efficient functional annotation of DNA or protein sequences is a major requirement for the successful application of these approaches as functional information on gene products is often the key to the interpretation of experimental results. Therefore, there is an increasing need for bioinformatics resources which are able to cope with large amount of sequence data, produce valuable annotation results and are easily accessible to laboratories where functional genomics projects are being undertaken. We present the Blast2GO suite as an integrated and biologist-oriented solution for the high-throughput and automatic functional annotation of DNA or protein sequences based on the Gene Ontology vocabulary. The most outstanding Blast2GO features are: (i) the combination of various annotation strategies and tools controlling type and intensity of annotation, (ii) the numerous graphical features such as the interactive GO-graph visualization for gene-set function profiling or descriptive charts, (iii) the general sequence management features and (iv) high-throughput capabilities. We used the Blast2GO framework to carry out a detailed analysis of annotation behaviour through homology transfer and its impact in functional genomics research. Our aim is to offer biologists useful information to take into account when addressing the task of functionally characterizing their sequence data.