The microRNA.org resource: targets and expression Export

@article{citeulike:2174476, abstract = {MicroRNA.org (http://www.microrna.org) is a comprehensive resource of microRNA target predictions and expression profiles. Target predictions are based on a development of the miRanda algorithm which incorporates current biological knowledge on target rules and on the use of an up-to-date compendium of mammalian microRNAs. MicroRNA expression profiles are derived from a comprehensive sequencing project of a large set of mammalian tissues and cell lines of normal and disease origin. Using an improved graphical interface, a user can explore (i) the set of genes that are potentially regulated by a particular microRNA, (ii) the implied cooperativity of multiple microRNAs on a particular mRNA and (iii) microRNA expression profiles in various tissues. To facilitate future updates and development, the microRNA.org database structure and software architecture is flexibly designed to incorporate new expression and target discoveries. The web resource provides users with functional information about the growing number of microRNAs and their interaction with target genes in many species and facilitates novel discoveries in microRNA gene regulation. 10.1093/nar/gkm995}, address = {Computational and Systems Biology Center, Memorial Sloan-Kettering Cancer Center, NY and Department of Systems Biology, Harvard Medical School, Boston, MA, USA.}, author = {Betel, Doron and Wilson, Manda and Gabow, Aaron and Marks, Debora S. and Sander, Chris}, citeulike-article-id = {2174476}, citeulike-linkout-0 = {http://dx.doi.org/10.1093/nar/gkm995}, citeulike-linkout-1 = {http://nar.oxfordjournals.org/content/36/suppl_1/D149.abstract}, citeulike-linkout-2 = {http://nar.oxfordjournals.org/content/36/suppl_1/D149.full.pdf}, citeulike-linkout-3 = {http://nar.oxfordjournals.org/cgi/content/abstract/36/suppl_1/D149}, citeulike-linkout-4 = {http://view.ncbi.nlm.nih.gov/pubmed/18158296}, citeulike-linkout-5 = {http://www.hubmed.org/display.cgi?uids=18158296}, day = {11}, doi = {10.1093/nar/gkm995}, issn = {1362-4962}, journal = {Nucl. Acids Res.}, keywords = {database, expression, microrna}, month = {January}, number = {suppl\_1}, pages = {D149--153}, posted-at = {2008-06-13 11:56:46}, priority = {2}, title = {The microRNA.org resource: targets and expression}, url = {http://dx.doi.org/10.1093/nar/gkm995}, volume = {36}, year = {2008} }

TY - JOUR ID - citeulike:2174476 L3 - citeulike-article-id:2174476 N2 - MicroRNA.org (http://www.microrna.org) is a comprehensive resource of microRNA target predictions and expression profiles. Target predictions are based on a development of the miRanda algorithm which incorporates current biological knowledge on target rules and on the use of an up-to-date compendium of mammalian microRNAs. MicroRNA expression profiles are derived from a comprehensive sequencing project of a large set of mammalian tissues and cell lines of normal and disease origin. Using an improved graphical interface, a user can explore (i) the set of genes that are potentially regulated by a particular microRNA, (ii) the implied cooperativity of multiple microRNAs on a particular mRNA and (iii) microRNA expression profiles in various tissues. To facilitate future updates and development, the microRNA.org database structure and software architecture is flexibly designed to incorporate new expression and target discoveries. The web resource provides users with functional information about the growing number of microRNAs and their interaction with target genes in many species and facilitates novel discoveries in microRNA gene regulation. 10.1093/nar/gkm995 IS - suppl_1 JF - Nucl. Acids Res. SN - 1362-4962 AD - Computational and Systems Biology Center, Memorial Sloan-Kettering Cancer Center, NY and Department of Systems Biology, Harvard Medical School, Boston, MA, USA. EP - 153 TI - The microRNA.org resource: targets and expression VL - 36 SP - D149 KW - database KW - expression KW - microrna AU - Betel, Doron AU - Wilson, Manda AU - Gabow, Aaron AU - Marks, Debora AU - Sander, Chris PY - 2008/01/11/ UR - http://dx.doi.org/10.1093/nar/gkm995 ER -