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Proper Citation: A Classification of Mobile genetic Elements (RRID:SCR_001694)
Description: A database dedicated to the collection and classification of mobile genetic elements (MGEs) from various sources, comprising all known phage genomes, plasmids and transposons. In addition to provide information on the full genomes and genetic entities, it aims at building a comprehensive classification of the functional modules of MGE's at the protein, gene, and higher levels. Prophinder, a tool dedicated to the detection of prophages in sequenced bacterial genomes, is available on ACLAME.
Abbreviations: ACLAME
Synonyms: ACLAME: A CLAssification of Mobile genetic Elements
Resource Type: data or information resource, database
Defining Citation: PMID:19933762, PMID:14681355
Keywords: mobile genetic element, phage genome, plasmid, virus, prophage, transposon, protein, gene, classification, data analysis service, prophage prediction, bio.tools, FASEB list
Funding: ESTEC contract ESTEC 16370/02/NL/CK
Availability: THIS RESOURCE IS NO LONGER IN SERVICE
Resource Name: A Classification of Mobile genetic Elements
Resource ID: SCR_001694
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
Email: info_at_ dknet.org
