Choi Kwangmin, Ma Yu, Choi Jeong-Heyon, Kim Sun
School of Informatics, Indiana University, Bloomington, IN 47404, USA.
Bioinformatics. 2005 May 15;21(10):2514-6. doi: 10.1093/bioinformatics/bti350. Epub 2005 Feb 24.
As more whole genome sequences become available, comparing multiple genomes at the sequence level can provide insight into new biological discovery. However, there are significant challenges for genome comparison. The challenge includes requirement for computational resources owing to the large volume of genome data. More importantly, since the choice of genomes to be compared is entirely subjective, there are too many choices for genome comparison. For these reasons, there is pressing need for bioinformatics systems for comparing multiple genomes where users can choose genomes to be compared freely.
PLATCOM (Platform for Computational Comparative Genomics) is an integrated system for the comparative analysis of multiple genomes. The system is built on several public databases and a suite of genome analysis applications are provided as exemplary genome data mining tools over these internal databases. Researchers are able to visually investigate genomic sequence similarities, conserved gene neighborhoods, conserved metabolic pathways and putative gene fusion events among a set of selected multiple genomes.
随着越来越多的全基因组序列可供使用,在序列水平上比较多个基因组能够为新的生物学发现提供见解。然而,基因组比较面临着重大挑战。挑战包括由于基因组数据量巨大而对计算资源的需求。更重要的是,由于要比较的基因组的选择完全是主观的,基因组比较的选择太多。出于这些原因,迫切需要用于比较多个基因组的生物信息学系统,用户可以在其中自由选择要比较的基因组。
PLATCOM(计算比较基因组学平台)是一个用于多个基因组比较分析的集成系统。该系统基于多个公共数据库构建,并提供了一套基因组分析应用程序,作为对这些内部数据库进行示例性基因组数据挖掘的工具。研究人员能够直观地研究一组选定的多个基因组之间的基因组序列相似性、保守基因邻域、保守代谢途径和假定的基因融合事件。