Jöcker Anika, Hoffmann Fabian, Groscurth Andreas, Schoof Heiko
Plant Computational Biology, Max Planck Institute for Plant Breeding Research, Cologne, Germany.
Bioinformatics. 2008 Oct 15;24(20):2393-4. doi: 10.1093/bioinformatics/btn394. Epub 2008 Aug 12.
Many sequenced genes are mainly annotated through automatic transfer of annotation from similar sequences. Manual comparison of results or intermediate results from different tools can help avoid wrong annotations and give hints to the function of a gene even if none of the automated tools could return any result. AFAWE simplifies the task of manual functional annotation by running different tools and workflows for automatic function prediction and displaying the results in a way that facilitates comparison. Because all programs are executed as web services, AFAWE is easily extensible and can directly query primary databases, thereby always using the most up-to-date data sources. Visual filters help to distinguish trustworthy results from non-significant results. Furthermore, an interface to add detailed manual annotation to each gene is provided, which can be displayed to other users.
许多已测序基因主要是通过从相似序列自动转移注释来进行注释的。对不同工具的结果或中间结果进行人工比较，有助于避免错误注释，并能为基因功能提供线索，即使没有任何自动化工具能给出任何结果。AFAWE通过运行不同的工具和工作流程进行自动功能预测，并以便于比较的方式显示结果，从而简化了人工功能注释的任务。由于所有程序都作为网络服务执行，AFAWE易于扩展，并且可以直接查询主要数据库，从而始终使用最新的数据源。可视化过滤器有助于区分可信结果和无意义结果。此外，还提供了一个为每个基因添加详细人工注释的界面，该注释可以显示给其他用户。
