Mahony Shaun, Benos Panayiotis V
Department of Computational Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Nucleic Acids Res. 2007 Jul;35(Web Server issue):W253-8. doi: 10.1093/nar/gkm272. Epub 2007 May 3.
STAMP is a newly developed web server that is designed to support the study of DNA-binding motifs. STAMP may be used to query motifs against databases of known motifs; the software aligns input motifs against the chosen database (or alternatively against a user-provided dataset), and lists of the highest-scoring matches are returned. Such similarity-search functionality is expected to facilitate the identification of transcription factors that potentially interact with newly discovered motifs. STAMP also automatically builds multiple alignments, familial binding profiles and similarity trees when more than one motif is inputted. These functions are expected to enable evolutionary studies on sets of related motifs and fixed-order regulatory modules, as well as illustrating similarities and redundancies within the input motif collection. STAMP is a highly flexible alignment platform, allowing users to 'mix-and-match' between various implemented comparison metrics, alignment methods (local or global, gapped or ungapped), multiple alignment strategies and tree-building methods. Motifs may be inputted as frequency matrices (in many of the commonly used formats), consensus sequences, or alignments of known binding sites. STAMP also directly accepts the output files from 12 supported motif-finders, enabling quick interpretation of motif-discovery analyses. STAMP is available at http://www.benoslab.pitt.edu/stamp.
STAMP是一个新开发的网络服务器,旨在支持对DNA结合基序的研究。STAMP可用于根据已知基序数据库查询基序;该软件将输入基序与所选数据库(或与用户提供的数据集)进行比对,并返回得分最高的匹配列表。这种相似性搜索功能有望促进对可能与新发现基序相互作用的转录因子的鉴定。当输入多个基序时,STAMP还会自动构建多序列比对、家族结合图谱和相似性树。这些功能有望实现对相关基序集和固定顺序调控模块的进化研究,并展示输入基序集合中的相似性和冗余性。STAMP是一个高度灵活的比对平台,允许用户在各种已实现的比较指标、比对方法(局部或全局、有间隙或无间隙)、多序列比对策略和建树方法之间进行“混合搭配”。基序可以以频率矩阵(多种常用格式)、共有序列或已知结合位点的比对形式输入。STAMP还直接接受12种支持的基序查找工具的输出文件,从而能够快速解读基序发现分析结果。可通过http://www.benoslab.pitt.edu/stamp获取STAMP。