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URL: http://lemur.amu.edu.pl/share/php/mirnest/home.php
Proper Citation: miRNEST (RRID:SCR_008907)
Description: A database of animal, plant and virus microRNA data maintained at the University of Poznan. The database provides: * 9980 miRNA candiates from 420 animal and plant species predicted in Expressed Sequence Tags * predicted targets for plant candidates * RNA-seq reads mapped to candidates from 29 species * external data from 12 databases that includes sequences, polymorphism, expression and regulation. miRNEST 1.0, it contains miRNA from 563 animals, plants and viruses plant species.
Abbreviations: miRNEST
Synonyms: miRNEST - a database of animal and plant microRNAs
Resource Type: data or information resource, database
Defining Citation: PMID:22135287
Keywords: microrna, expressed sequence tag, rna-seq read, sequence, polymorphism, mirna sequence, small rna sequence, single nucleotide polymorphism, bio.tools
Funding: European Social Fund ; Adam Mickiewicz University PBWB-08/2011; Polish Ministry of Science and Higher Education N N301 160935; Polish Ministry of Science and Higher Education N N516 441938
Resource Name: miRNEST
Resource ID: SCR_008907
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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
