SIMAP--the database of all-against-all protein sequence similarities and annotations with new interfaces and increased coverage.
SIMAP--the database of all-against-all protein sequence similarities and annotations with new interfaces and increased coverage.
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DOI：
10.1093/nar/gkt970
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发表时间：
2014-01
影响因子：
14.9
通讯作者：
Rattei T
中科院分区：
文献类型：
--
作者：
Arnold R;Goldenberg F;Mewes HW;Rattei T
The Similarity Matrix of Proteins (SIMAP, http://mips.gsf.de/simap/) database has been designed to massively accelerate computationally expensive protein sequence analysis tasks in bioinformatics. It provides pre-calculated sequence similarities interconnecting the entire known protein sequence universe, complemented by pre-calculated protein features and domains, similarity clusters and functional annotations. SIMAP covers all major public protein databases as well as many consistently re-annotated metagenomes from different repositories. As of September 2013, SIMAP contains >163 million proteins corresponding to ∼70 million non-redundant sequences. SIMAP uses the sensitive FASTA search heuristics, the Smith–Waterman alignment algorithm, the InterPro database of protein domain models and the BLAST2GO functional annotation algorithm. SIMAP assists biologists by facilitating the interactive exploration of the protein sequence universe. Web-Service and DAS interfaces allow connecting SIMAP with any other bioinformatic tool and resource. All-against-all protein sequence similarity matrices of project-specific protein collections are generated on request. Recent improvements allow SIMAP to cover the rapidly growing sequenced protein sequence universe. New Web-Service interfaces enhance the connectivity of SIMAP. Novel tools for interactive extraction of protein similarity networks have been added. Open access to SIMAP is provided through the web portal; the portal also contains instructions and links for software access and flat file downloads.
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影响因子：
14.9
作者：
NCBI Resource Coordinators
通讯作者：
NCBI Resource Coordinators
影响因子：
14.9
作者：
Hunter S;Jones P;Mitchell A;Apweiler R;Attwood TK;Bateman A;Bernard T;Binns D;Bork P;Burge S;de Castro E;Coggill P;Corbett M;Das U;Daugherty L;Duquenne L;Finn RD;Fraser M;Gough J;Haft D;Hulo N;Kahn D;Kelly E;Letunic I;Lonsdale D;Lopez R;Madera M;Maslen J;McAnulla C;McDowall J;McMenamin C;Mi H;Mutowo-Muellenet P;Mulder N;Natale D;Orengo C;Pesseat S;Punta M;Quinn AF;Rivoire C;Sangrador-Vegas A;Selengut JD;Sigrist CJ;Scheremetjew M;Tate J;Thimmajanarthanan M;Thomas PD;Wu CH;Yeats C;Yong SY
通讯作者：
Yong SY
影响因子：
14.9
作者：
Flicek P;Ahmed I;Amode MR;Barrell D;Beal K;Brent S;Carvalho-Silva D;Clapham P;Coates G;Fairley S;Fitzgerald S;Gil L;García-Girón C;Gordon L;Hourlier T;Hunt S;Juettemann T;Kähäri AK;Keenan S;Komorowska M;Kulesha E;Longden I;Maurel T;McLaren WM;Muffato M;Nag R;Overduin B;Pignatelli M;Pritchard B;Pritchard E;Riat HS;Ritchie GR;Ruffier M;Schuster M;Sheppard D;Sobral D;Taylor K;Thormann A;Trevanion S;White S;Wilder SP;Aken BL;Birney E;Cunningham F;Dunham I;Harrow J;Herrero J;Hubbard TJ;Johnson N;Kinsella R;Parker A;Spudich G;Yates A;Zadissa A;Searle SM
通讯作者：
Searle SM
影响因子：
5.8
作者：
Petryszak, R;Kretschmann, E;Apweiler, R
通讯作者：
Apweiler, R
影响因子：
14.9
作者：
Franceschini A;Szklarczyk D;Frankild S;Kuhn M;Simonovic M;Roth A;Lin J;Minguez P;Bork P;von Mering C;Jensen LJ
通讯作者：
Jensen LJ