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      The UCSC Genome Browser database: 2019 update

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          Abstract

          The UCSC Genome Browser ( https://genome.ucsc.edu) is a graphical viewer for exploring genome annotations. For almost two decades, the Browser has provided visualization tools for genetics and molecular biology and continues to add new data and features. This year, we added a new tool that lets users interactively arrange existing graphing tracks into new groups. Other software additions include new formats for chromosome interactions, a ChIP-Seq peak display for track hubs and improved support for HGVS. On the annotation side, we have added gnomAD, TCGA expression, RefSeq Functional elements, GTEx eQTLs, CRISPR Guides, SNPpedia and created a 30-way primate alignment on the human genome. Nine assemblies now have RefSeq-mapped gene models.

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          Database resources of the National Center for Biotechnology Information

          Abstract The National Center for Biotechnology Information (NCBI) provides a large suite of online resources for biological information and data, including the GenBank® nucleic acid sequence database and the PubMed database of citations and abstracts for published life science journals. The Entrez system provides search and retrieval operations for most of these data from 39 distinct databases. The E-utilities serve as the programming interface for the Entrez system. Augmenting many of the Web applications are custom implementations of the BLAST program optimized to search specialized data sets. New resources released in the past year include PubMed Data Management, RefSeq Functional Elements, genome data download, variation services API, Magic-BLAST, QuickBLASTp, and Identical Protein Groups. Resources that were updated in the past year include the genome data viewer, a human genome resources page, Gene, virus variation, OSIRIS, and PubChem. All of these resources can be accessed through the NCBI home page at www.ncbi.nlm.nih.gov.
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            Bioconda: sustainable and comprehensive software distribution for the life sciences

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              Track data hubs enable visualization of user-defined genome-wide annotations on the UCSC Genome Browser

              Summary: Track data hubs provide an efficient mechanism for visualizing remotely hosted Internet-accessible collections of genome annotations. Hub datasets can be organized, configured and fully integrated into the University of California Santa Cruz (UCSC) Genome Browser and accessed through the familiar browser interface. For the first time, individuals can use the complete browser feature set to view custom datasets without the overhead of setting up and maintaining a mirror. Availability and implementation: Source code for the BigWig, BigBed and Genome Browser software is freely available for non-commercial use at http://hgdownload.cse.ucsc.edu/admin/jksrc.zip, implemented in C and supported on Linux. Binaries for the BigWig and BigBed creation and parsing utilities may be downloaded at http://hgdownload.cse.ucsc.edu/admin/exe/. Binary Alignment/Map (BAM) and Variant Call Format (VCF)/tabix utilities are available from http://samtools.sourceforge.net/ and http://vcftools.sourceforge.net/. The UCSC Genome Browser is publicly accessible at http://genome.ucsc.edu. Contact: donnak@soe.ucsc.edu
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                Author and article information

                Journal
                Nucleic Acids Res
                Nucleic Acids Res
                nar
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                08 January 2019
                08 November 2018
                08 November 2018
                : 47
                : Database issue , Database issue
                : D853-D858
                Affiliations
                [1 ]Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
                [2 ]Howard Hughes Medical Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
                Author notes
                To whom correspondence should be addressed. Tel: +1 831 295 0653; Email: max@ 123456soe.ucsc.edu
                Author information
                http://orcid.org/0000-0001-6382-9738
                Article
                gky1095
                10.1093/nar/gky1095
                6323953
                30407534
                dd16490b-1809-462d-8ea4-6c503ed15ce5
                © The Author(s) 2018. Published by Oxford University Press on behalf of Nucleic Acids Research.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 19 October 2018
                : 17 October 2018
                : 14 September 2018
                Page count
                Pages: 6
                Funding
                Funded by: National Human Genome Research Institute 10.13039/100000051
                Award ID: 4U41HG002371
                Award ID: 5U41HG007234
                Award ID: 5U54HG007990
                Funded by: National Institutes of Health 10.13039/100000002
                Award ID: 1U01MH114825
                Funded by: California Institute for Regenerative Medicine
                Award ID: GC1R-06673-C
                Funded by: Howard Hughes Medical Institute 10.13039/100000011
                Award ID: 090100
                Funded by: Regeneron 10.13039/100009857
                Award ID: CBJCHBCAABAA-nBGXMxFrE0WG7VvHOtm8RAzv674WMNt
                Funded by: St. Baldrick’s Foundation 10.13039/100006058
                Award ID: 427053
                Funded by: Silicon Valley Community Foundation 10.13039/100000923
                Award ID: 2018-182809
                Award ID: 2017-171519
                Categories
                Database Issue

                Genetics
                Genetics

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