Literature DB >> 20205188

miRBase: microRNA sequences and annotation.

Sam Griffiths-Jones1.   

Abstract

miRBase is the central repository for microRNA (miRNA) sequence information. miRBase has a role in defining the nomenclature for miRNA genes and assigning names to novel miRNAs for publication in peer-reviewed journals. The online miRBase database is a resource containing all published miRNA sequences, together with textual annotation and links to the primary literature and to other secondary databases. The database provides a variety of methods to query the data, by specific searches of sequences and associated text and literature. All miRBase data are also available for download from the miRBase FTP site. (c) 2010 by John Wiley & Sons, Inc.

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Year:  2010        PMID： 20205188     DOI： 10.1002/0471250953.bi1209s29

Source DB:  PubMed          Journal:  Curr Protoc Bioinformatics        ISSN： 1934-3396


  72 in total

1.  Characterization of NOL7 gene point mutations, promoter methylation, and protein expression in cervical cancer.

Authors:  Colleen L Doçi; Tanmayi P Mankame; Alexander Langerman; Kelly R Ostler; Rajani Kanteti; Timothy Best; Kenan Onel; Lucy A Godley; Ravi Salgia; Mark W Lingen
Journal:  Int J Gynecol Pathol       Date:  2012-01       Impact factor: 2.762

2.  A genome resource to address mechanisms of developmental programming: determination of the fetal sheep heart transcriptome.

Authors:  Laura A Cox; Jeremy P Glenn; Kimberly D Spradling; Mark J Nijland; Roy Garcia; Peter W Nathanielsz; Stephen P Ford
Journal:  J Physiol       Date:  2012-04-16       Impact factor: 5.182

Review 3.  Genome-wide approaches in the study of microRNA biology.

Authors:  Melissa L Wilbert; Gene W Yeo
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2010-12-31

4.  miR-ID: a novel, circularization-based platform for detection of microRNAs.

Authors:  Pavan Kumar; Brian H Johnston; Sergei A Kazakov
Journal:  RNA       Date:  2010-12-17       Impact factor: 4.942

Review 5.  Dysfunction of the TP53 tumor suppressor gene in lymphoid malignancies.

Authors:  Zijun Y Xu-Monette; L Jeffrey Medeiros; Yong Li; Robert Z Orlowski; Michael Andreeff; Carlos E Bueso-Ramos; Timothy C Greiner; Timothy J McDonnell; Ken H Young
Journal:  Blood       Date:  2012-01-24       Impact factor: 22.113

6.  Statistical principle-based approach for recognizing and normalizing microRNAs described in scientific literature.

Authors:  Hong-Jie Dai; Chen-Kai Wang; Nai-Wen Chang; Ming-Siang Huang; Jitendra Jonnagaddala; Feng-Duo Wang; Wen-Lian Hsu
Journal:  Database (Oxford)       Date:  2019-01-01       Impact factor: 3.451

Review 7.  Current approaches to micro-RNA analysis and target gene prediction.

Authors:  Tenzin W Lhakhang; M Ahmad Chaudhry
Journal:  J Appl Genet       Date:  2011-09-03       Impact factor: 3.240

Review 8.  Potential relevance of microRNAs in inter-species epigenetic communication, and implications for disease pathogenesis.

Authors:  Pál Perge; Zoltán Nagy; Ábel Decmann; Ivan Igaz; Peter Igaz
Journal:  RNA Biol       Date:  2016-10-28       Impact factor: 4.652

Review 9.  Online tools for bioinformatics analyses in nutrition sciences.

Authors:  Sridhar A Malkaram; Yousef I Hassan; Janos Zempleni
Journal:  Adv Nutr       Date:  2012-09-01       Impact factor: 8.701

10.  Identification and characterization of microRNAs in the plant parasitic root-knot nematode Meloidogyne incognita using deep sequencing.

Authors:  Yanqiong Zhang; Yunsheng Wang; Fuliang Xie; Chao Li; Baohong Zhang; Robert L Nichols; Xiaoping Pan
Journal:  Funct Integr Genomics       Date:  2016-01-07       Impact factor: 3.410
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