ProGMap: an integrated annotation resource for protein orthology.
ProGMap: an integrated annotation resource for protein orthology.
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ProGMap：蛋白质直系同源的集成注释资源。
DOI：
10.1093/nar/gkp462
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发表时间：
2009-07
影响因子：
14.9
通讯作者：
Leunissen, Jack A. M.
中科院分区：
文献类型：
--
作者：
Kuzniar, Arnold;Lin, Ke;He, Ying;Nijveen, Harm;Pongor, Sandor;Leunissen, Jack A. M.
目前的蛋白质序列数据库使用不同的分类方案，这些方案经常提供相互冲突的注释，特别是对于特征不佳的蛋白质。ProGmap(Protein Group Mappings，http://www.bioinformatics.nl/progmap))是一个网络工具，旨在帮助研究人员和数据库注释者评估各种数据库中定义的蛋白质组的一致性，从而促进对新测序蛋白质的注释。ProGMap基于一个超过660万个蛋白质序列的非冗余数据集，该数据集映射到从UniProt、RefSeq、EnSembl、COG、KOG、OrthoMCL-DB、Homologene、Tribe和PIRSF收集的24万个蛋白质组描述。ProGMap通过链接网络将基础分类方案组合在一起，链接网络由最初为文档分类开发的快速和全自动映射方法构建。网络界面允许使用序列识别符、基因符号、蛋白质功能或氨基酸和核苷酸序列进行查询。对于后一种查询类型，已经结合了BLAST相似性搜索和快速匹配身份搜索服务，用于查找与查询序列相似(或相同)的序列。ProGMap旨在帮助高通量方法的用户处理部分注释的基因组数据。
Current protein sequence databases employ different classification schemes that often provide conflicting annotations, especially for poorly characterized proteins. ProGMap (Protein Group Mappings, http://www.bioinformatics.nl/progmap) is a web-tool designed to help researchers and database annotators to assess the coherence of protein groups defined in various databases and thereby facilitate the annotation of newly sequenced proteins. ProGMap is based on a non-redundant dataset of over 6.6 million protein sequences which is mapped to 240 000 protein group descriptions collected from UniProt, RefSeq, Ensembl, COG, KOG, OrthoMCL-DB, HomoloGene, TRIBES and PIRSF. ProGMap combines the underlying classification schemes via a network of links constructed by a fast and fully automated mapping approach originally developed for document classification. The web interface enables queries to be made using sequence identifiers, gene symbols, protein functions or amino acid and nucleotide sequences. For the latter query type BLAST similarity search and QuickMatch identity search services have been incorporated, for finding sequences similar (or identical) to a query sequence. ProGMap is meant to help users of high throughput methodologies who deal with partially annotated genomic data.
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影响因子：
14.9
作者：
Mulder NJ;Apweiler R;Attwood TK;Bairoch A;Bateman A;Binns D;Bork P;Buillard V;Cerutti L;Copley R;Courcelle E;Das U;Daugherty L;Dibley M;Finn R;Fleischmann W;Gough J;Haft D;Hulo N;Hunter S;Kahn D;Kanapin A;Kejariwal A;Labarga A;Langendijk-Genevaux PS;Lonsdale D;Lopez R;Letunic I;Madera M;Maslen J;McAnulla C;McDowall J;Mistry J;Mitchell A;Nikolskaya AN;Orchard S;Orengo C;Petryszak R;Selengut JD;Sigrist CJ;Thomas PD;Valentin F;Wilson D;Wu CH;Yeats C
通讯作者：
Yeats C
影响因子：
14.9
作者：
Wu, CH;Nikolskaya, A;Barker, WC
通讯作者：
Barker, WC
影响因子：
14.9
作者：
Flicek P;Aken BL;Beal K;Ballester B;Caccamo M;Chen Y;Clarke L;Coates G;Cunningham F;Cutts T;Down T;Dyer SC;Eyre T;Fitzgerald S;Fernandez-Banet J;Gräf S;Haider S;Hammond M;Holland R;Howe KL;Howe K;Johnson N;Jenkinson A;Kähäri A;Keefe D;Kokocinski F;Kulesha E;Lawson D;Longden I;Megy K;Meidl P;Overduin B;Parker A;Pritchard B;Prlic A;Rice S;Rios D;Schuster M;Sealy I;Slater G;Smedley D;Spudich G;Trevanion S;Vilella AJ;Vogel J;White S;Wood M;Birney E;Cox T;Curwen V;Durbin R;Fernandez-Suarez XM;Herrero J;Hubbard TJ;Kasprzyk A;Proctor G;Smith J;Ureta-Vidal A;Searle S
通讯作者：
Searle S
影响因子：
3
作者：
Alibés A;Yankilevich P;Cañada A;Díaz-Uriarte R
通讯作者：
Díaz-Uriarte R
影响因子：
2.5
作者：
SASTRY, R;WANG, JS;SASTRY, KN
通讯作者：
SASTRY, KN