Friedberg Iddo, Harder Tim, Godzik Adam
Burnham Institute for Medical Research, Program in Bioinformatics and Systems Biology, 10901 North Torrey Pines Road, La Jolla, CA 92037, USA.
Nucleic Acids Res. 2006 Jul 1;34(Web Server issue):W379-81. doi: 10.1093/nar/gkl045.
With the high number of sequences and structures streaming in from genomic projects, there is a need for more powerful and sophisticated annotation tools. Most problematic of the annotation efforts is predicting gene and protein function. Over the past few years there has been considerable progress in automated protein function prediction, using a diverse set of methods. Nevertheless, no single method reports all the information possible, and molecular biologists resort to 'shopping around' using different methods: a cumbersome and time-consuming practice. Here we present the Joined Assembly of Function Annotations, or JAFA server. JAFA queries several function prediction servers with a protein sequence and assembles the returned predictions in a legible, non-redundant format. In this manner, JAFA combines the predictions of several servers to provide a comprehensive view of what are the predicted functions of the proteins. JAFA also offers its own output, and the individual programs' predictions for further processing. JAFA is available for use from http://jafa.burnham.org.
随着基因组计划中大量的序列和结构不断涌现,需要更强大、更精密的注释工具。注释工作中最具挑战性的是预测基因和蛋白质的功能。在过去几年里,利用各种不同的方法,自动蛋白质功能预测已经取得了相当大的进展。然而,没有一种单一的方法能够报告所有可能的信息,分子生物学家不得不使用不同的方法“四处寻找”:这是一种繁琐且耗时的做法。在这里,我们介绍功能注释联合汇编(Joined Assembly of Function Annotations),即JAFA服务器。JAFA使用蛋白质序列查询多个功能预测服务器,并以清晰、无冗余的格式汇总返回的预测结果。通过这种方式,JAFA结合了多个服务器的预测结果,以提供蛋白质预测功能的全面视图。JAFA还提供自己的输出结果以及各个程序的预测结果,以便进一步处理。可从http://jafa.burnham.org使用JAFA。