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      UCNEbase—a database of ultraconserved non-coding elements and genomic regulatory blocks

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      1 , 2 , * , 1 , 2 , *
      Nucleic Acids Research
      Oxford University Press

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          Abstract

          UCNEbase ( http://ccg.vital-it.ch/UCNEbase) is a free, web-accessible information resource on the evolution and genomic organization of ultra-conserved non-coding elements (UCNEs). It currently covers 4351 such elements in 18 different species. The majority of UCNEs are supposed to be transcriptional regulators of key developmental genes. As most of them occur as clusters near potential target genes, the database is organized along two hierarchical levels: individual UCNEs and ultra-conserved genomic regulatory blocks (UGRBs). UCNEbase introduces a coherent nomenclature for UCNEs reflecting their respective associations with likely target genes. Orthologous and paralogous UCNEs share components of their names and are systematically cross-linked. Detailed synteny maps between the human and other genomes are provided for all UGRBs. UCNEbase is managed by a relational database system and can be accessed by a variety of web-based query pages. As it relies on the UCSC genome browser as visualization platform, a large part of its data content is also available as browser viewable custom track files. UCNEbase is potentially useful to any computational, experimental or evolutionary biologist interested in conserved non-coding DNA elements in vertebrates.

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          Most cited references15

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          Ensembl 2012

          The Ensembl project (http://www.ensembl.org) provides genome resources for chordate genomes with a particular focus on human genome data as well as data for key model organisms such as mouse, rat and zebrafish. Five additional species were added in the last year including gibbon (Nomascus leucogenys) and Tasmanian devil (Sarcophilus harrisii) bringing the total number of supported species to 61 as of Ensembl release 64 (September 2011). Of these, 55 species appear on the main Ensembl website and six species are provided on the Ensembl preview site (Pre!Ensembl; http://pre.ensembl.org) with preliminary support. The past year has also seen improvements across the project.
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            Scanning human gene deserts for long-range enhancers.

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              ECR Browser: a tool for visualizing and accessing data from comparisons of multiple vertebrate genomes.

              With an increasing number of vertebrate genomes being sequenced in draft or finished form, unique opportunities for decoding the language of DNA sequence through comparative genome alignments have arisen. However, novel tools and strategies are required to accommodate this large volume of genomic information and to facilitate the transfer of predictions generated by comparative sequence alignment to researchers focused on experimental annotation of genome function. Here, we present the ECR Browser, a tool that provides easy and dynamic access to whole genome alignments of human, mouse, rat and fish sequences. This web-based tool (http://ecrbrowser.dcode.org) provides the starting point for discovery of novel genes, identification of distant gene regulatory elements and prediction of transcription factor binding sites. The genome alignment portal of the ECR Browser also permits fast and automated alignments of any user-submitted sequence to the genome of choice. The interconnection of the ECR Browser with other DNA sequence analysis tools creates a unique portal for studying and exploring vertebrate genomes.
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                Author and article information

                Journal
                Nucleic Acids Res
                Nucleic Acids Res
                nar
                nar
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                January 2013
                January 2013
                26 November 2012
                26 November 2012
                : 41
                : D1 , Database issue
                : D101-D109
                Affiliations
                1Swiss Institute for Experimental Cancer Research (ISREC), School of Life Sciences, Swiss Federal Institute of Technology (EPFL) and 2Swiss Institute of Bioinformatics (SIB), CH-1015 Lausanne, Switzerland
                Author notes
                *To whom correspondence should be addressed. Tel: +41 21 693 0956; Fax: +41 21 693 1850; Email: philipp.bucher@ 123456epfl.ch
                Correspondence may also be addressed to Slavica Dimitrieva. Tel: +41 21 693 0958; Fax: +41 21 693 1850; Email: slavica.dimitrieva@ 123456epfl.ch
                Article
                gks1092
                10.1093/nar/gks1092
                3531063
                23193254
                481a59e6-679e-4651-8d9e-5f168329c792
                © The Author(s) 2012. Published by Oxford University Press.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by-nc/3.0/), which permits non-commercial reuse, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com.

                History
                : 2 September 2012
                : 16 October 2012
                : 18 October 2012
                Page count
                Pages: 9
                Categories
                Articles

                Genetics
                Genetics

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