Literature DB >> 24270787

The UCSC Genome Browser database: 2014 update.

Donna Karolchik1, Galt P Barber, Jonathan Casper, Hiram Clawson, Melissa S Cline, Mark Diekhans, Timothy R Dreszer, Pauline A Fujita, Luvina Guruvadoo, Maximilian Haeussler, Rachel A Harte, Steve Heitner, Angie S Hinrichs, Katrina Learned, Brian T Lee, Chin H Li, Brian J Raney, Brooke Rhead, Kate R Rosenbloom, Cricket A Sloan, Matthew L Speir, Ann S Zweig, David Haussler, Robert M Kuhn, W James Kent.   

Abstract

The University of California Santa Cruz (UCSC) Genome Browser (http://genome.ucsc.edu) offers online public access to a growing database of genomic sequence and annotations for a large collection of organisms, primarily vertebrates, with an emphasis on the human and mouse genomes. The Browser's web-based tools provide an integrated environment for visualizing, comparing, analysing and sharing both publicly available and user-generated genomic data sets. As of September 2013, the database contained genomic sequence and a basic set of annotation 'tracks' for ∼90 organisms. Significant new annotations include a 60-species multiple alignment conservation track on the mouse, updated UCSC Genes tracks for human and mouse, and several new sets of variation and ENCODE data. New software tools include a Variant Annotation Integrator that returns predicted functional effects of a set of variants uploaded as a custom track, an extension to UCSC Genes that displays haplotype alleles for protein-coding genes and an expansion of data hubs that includes the capability to display remotely hosted user-provided assembly sequence in addition to annotation data. To improve European access, we have added a Genome Browser mirror (http://genome-euro.ucsc.edu) hosted at Bielefeld University in Germany.

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Mesh:

Year:  2013        PMID: 24270787      PMCID: PMC3964947          DOI: 10.1093/nar/gkt1168

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


INTRODUCTION

The University of California Santa Cruz (UCSC) Genome Browser (1,2) at http://genome.ucsc.edu is a web-based resource for the scientific, medical and academic research communities that provides timely, convenient access to a database of high-quality genome sequence and annotations. The Browser tools facilitate the visualization, comparison and analysis of both hosted and user-generated data sets ranging from a genome-wide perspective down to the base level. The Genome Browser database contains genome sequence from GenBank (3) for a wide selection of organisms, many with multiple assembly versions. In September 2013 our database included 13 primates, 33 additional mammals, 17 non-mammalian vertebrates, 13 insects, 6 worms and 5 other invertebrates. Annotation data for each genome assembly are displayed graphically as ‘tracks’ aligned to the genomic sequence and grouped according to shared characteristics, such as gene predictions or comparative genomics. The level of annotation varies among organisms. At a minimum, most assemblies offer mapping and sequence annotation tracks describing assembly, gap and GC content, and alignments of mRNA, EST and RefSeq (3) genes (available on approximately one-half of the assemblies) from GenBank. Some assemblies provide additional gene annotation tracks, such as Ensembl Genes (4) and Human Proteins, as well as multiple sequence alignments (multiz) (5) and pairwise genomic alignments between assemblies to facilitate comparative and evolutionary investigations. The heavily annotated human genome offers extensive conservation and evolutionary comparisons, a large collection of gene models including the locally generated UCSC Genes track (6,7), regulation, expression, epigenetics and tissue differentiation, variation, phenotype and disease association data, and data that have been text-mined from publications. Much of our annotation data is obtained through external collaboration. When available, links are provided to the complementary annotations in the Ensembl and NCBI browsers, and to supplementary information on other websites. The Genome Browser serves as the repository for human and mouse genome data that was contributed through September 2012 by the Encyclopedia of DNA Elements (ENCODE) Consortium (8,9). During the transition of the ENCODE Data Coordination Center role to a joint collaboration with Stanford University, the Genome Browser team has continued to add significant new content to the ENCODE data portal (http://encodeproject.org) and publish newly reprocessed ENCODE data sets (10). In addition to the native data sets local to the UCSC servers, the Genome Browser offers several options to users for viewing their own sequence and annotations: track and assembly data hubs, custom tracks and sessions. Alternatively, the Genome Browser database and tools may be installed on a local server for customized use (see http://genome.ucsc.edu/license/ for more information). Instructions for downloading the data, software and source code may be found at http://hgdownload.soe.ucsc.edu/downloads.html. The following sections highlight the genome assembly and annotation data sets added to the Genome Browser since the last update in this journal and describe the significant new features and capabilities of our data access tools.

GENOME BROWSER DATA SETS

New genome assemblies

During the past year the UCSC team added 35 vertebrate assemblies to the Genome Browser (Table 1), including the premier releases of 20 species. In line with our focus on primates and other vertebrates, the group of newly introduced species features 4 primates (baboon, mouse lemur, squirrel monkey and tarsier), 12 additional mammals (alpaca, dolphin, ferret, hedgehog, kangaroo rat, manatee, megabat, rock hyrax, shrew, sloth, southern white rhinoceros and tree shrew) and 4 additional vertebrates (American alligator, Atlantic cod, budgerigar and coelacanth). Several of the new assemblies were added to support the generation of the 60-species Conservation track released in 2012 on the GRCm38/mm10 mouse assembly, and many of these were originally sequenced and assembled for the Mammalian Genome Project (11). We plan to release a preliminary Browser with a minimal annotation set on the new GRCh38/hg38 human assembly in late 2013 or early 2014. Beginning with this new release, the numeric portion of the UCSC human assembly version name will match the Genome Reference Consortium version number to reduce confusion.
Table 1.

New and updated genome assemblies added to the Genome Browser since September 2012

Common nameScientific nameSequencing centerUCSC IDSeq. ctr ID
Primates
    BaboonPapio hamadryasBaylor College of Medicine HGSCpapHam1Pham_1.0
    BaboonPapio anubisBaylor College of Medicine HGSCpapAnu2Panu_2.0
    BushbabyOtolemur garnettiiBroad InstituteotoGar3OtoGar3
    ChimpanzeePan troglodytesChimpanzee Sequencing and Analysis ConsortiumpanTro4Build 2.1.4
 GibbonNomascus leucogenysGibbon Genome Sequencing ConsortiumnomLeu2Nleu1.1
nomLeu3Nleu3.0
    Mouse lemurMicrocebus murinusBroad InstitutemicMur1MicMur1.0
    Rhesus macaqueMacaca mulattaBeijing Genomics InstituterheMac3CR_1.0
    Squirrel monkeySaimiri boliviensisBroad InstitutesaiBol1SaiBol1.0
    TarsierTarsius syrichtaBroad InstitutetarSyr1Tarsyr1.0
Other mammals
 AlpacaVicugna pacosBroad InstitutevicPac1VicPac1.0
vicPac2VicPac2.0
    ArmadilloDasypus novemcinctusBaylor College of Medicine HGSCdasNov3DasNov3
    CatFelis catusInternational Cat Genome Sequencing ConsortiumfelCat5Felis_catus-6.2
    DolphinTursiops truncatusBaylor College of Medicine HGSCturTru2Ttru_1.4
    FerretMustela putorius furoFerret Genome Sequencing ConsortiummusFur1MusPutFur1.0
    HedgehogErinaceus europaeusBroad InstituteeriEur1Draft_v1
    Kangaroo ratDipodomys ordiiBaylor College of Medicine HGSC, Broad InstitutedipOrd1DipOrd1.0
    ManateeTrichechus manatus latirostrisBroad InstitutetriMan1TriManLat1.0
    MegabatPteropus vampyrusBroad InstitutepteVam1PteVap1.0
    Naked mole ratHeterocephalus glaberBroad InstitutehetGla2HetGla_female_1.0
    PigSus scrofaSwine Genome Sequencing ConsortiumsusScr3Sscrofa10.2
    PikaOchotona princepsBroad InstituteochPri2OchPri2
    Rock hyraxProcavia capensisBaylor College of Medicine HGSCproCap1Procap1.0
    ShrewSorex araneusBroad InstitutesorAra1SorAra1.0
    SlothCholoepus hoffmanniBroad InstitutechoHof1ChoHof1.0
    Southern white rhinocerosCeratotherium simum simumBroad InstitutecerSim1cerSimSim1.0
    SquirrelSpermophilus tridecemlineatusBroad InstitutespeTri2SpeTri2.0
    Tree shrewTupaia belangeriBroad InstitutetupBel1Tupbel1.0
Other vertebrates
    American alligatorAlligator mississippiensisInt’l Crocodilian Genomes Working GroupallMis1allMis0.2
    Atlantic codGadus morhuaGenofiskgadMor1GadMor_May2010
    BudgerigarMelopsittacus undulatusGenome Institute at Wash. Univ. St. LouismelUnd1v6.3
    CoelacanthLatimeria chalumnaeBroad InstitutelatCha1LatCha1
    LampreyPetromyzon marinusGenome Institute at Wash. Univ. St. LouispetMar2WUGSC 7.0
    Nile tilapiaOreochromis niloticusBroad InstituteoreNil2OreNil1.1

The ‘UCSC ID’ column shows the Genome Browser database designation for the genome assembly.

New and updated genome assemblies added to the Genome Browser since September 2012 The ‘UCSC ID’ column shows the Genome Browser database designation for the genome assembly. As the number of vertebrate assemblies deposited into GenBank increases, we continue to explore options for providing timely, maximum coverage of genome assemblies in the Genome Browser. Assembly data hubs (described below) offer a potential solution for streamlining our process for hosting genome assemblies, as well as providing our users with an easy way to visualize and share their own genome sequences in the Genome Browser.

New and updated annotations

We added many new annotation data sets to the Genome Browser in the past year, and several existing data sets underwent major revisions. Our human and mouse assemblies, which receive the bulk of attention from our user community, are the most richly annotated. This section highlights some of the new annotation tracks released this year. See Table 2 for a complete list of recent releases.
Table 2.

New and updated annotation data sets added to the Genome Browser between September 2012 and September 2013

Annotation trackAssembly
Human genome
    1000 Genomes Phase 1 Integrated Variant Callshg19
    1000 Genomes Phase 1 Paired-end Accessible Regionshg19
    Affymetrix CytoScan HD Arrayhg19
    Coriell Cell Line Copy Number Variantshg19
    Denisova: Modern Human Derived, Sequence Reads, Variant Calls, Variant Calls from 11 Modern Human Genome Sequenceshg19
    DGV: Structural Variationhg18-19
    DNaseI Hypersensitivity Uniform Peaks— ENCODE/Analysishg19
    ENCODE Regulation: DNaseI HS Clusters, Transaction Factor ChiP-seq Clustershg19
    GENCODE Genes v14, v17hg19
    GeneReviewshg18-19
    GRCh37 Patch 10hg19
    GWAS Catalog of Published Genome-Wide Association Studieshg18-19
    Human Gene Mutation Database (HGMD)hg19
    Leiden Open Variation Database (LOVD)hg19
    Pfam domains in UCSC Geneshg19
    Proteogenomics and GENCODE Mapping—ENCODEhg19
    qPCR Primershg19
    Reactome v41hg17-19
    Retroposed Geneshg19
    SNPs (Build 137): All SNPs, Common SNPs, Flagged SNPs, Mult. SNPshg19
    SNPs (Build 138): All SNPs, Common SNPs, Flagged SNPs, Mult. SNPshg19
    Transcription Factor ChIP-seq Uniform Peaks— ENCODE/Analysishg19
    UCSC Geneshg19
    UniProt Mutationshg19
Mouse genome
    60-species Conservationmm10
    GRC Incident Databasemm10
    GRCm38 Patch Release 1mm10
    Mouse strain variantsmm10
    qPCR Primersmm10
    Reactome v.41mm8-9
    SNPs (Build 137)mm10
    UCSC Genesmm10
Cow genome
    NumtS Nuclear Mitochondrial SequencesbosTau6
Pig genome
    NumtS Nuclear Mitochondrial SequencessusScr2
Multiple genomes
    Ensembl GenesMany
    Human proteinsMany
    Publications trackMany
New and updated annotation data sets added to the Genome Browser between September 2012 and September 2013

Gene annotations

The UCSC Genes track, which includes protein-coding genes and non-coding RNA genes from RefSeq, GenBank, CCDS (12), Rfam (13) and the tRNA Genes track (14), was updated on both the GRCh37/hg19 human and GRCm38/mm10 mouse assemblies. The human UCSC Genes set increased by 2038 transcripts to a total of 82 960 transcripts, 92% of which did not change between versions. The number of genes, defined as clusters of transcripts with overlapping exons on the same strand, increased by 621 genes to 31 848. In the mouse UCSC Genes set, the number of transcripts grew by 3702 transcripts to 59 121, with 88% remaining the same between versions. The number of genes increased by 2566 genes to 31 227. For more information on the latest methods used to generate the UCSC Genes data, refer to the description pages that accompany the tracks. We also updated the GENCODE Genes (15) track on the latest human assembly to version 17.

Variation data

We update our SNP annotations for the human and mouse (and occasionally for other species) whenever a new version is released by dbSNP. The latest human and mouse assemblies were updated to dbSNP Build 137 in 2012–13, and the human assembly SNP tracks were updated to dbSNP Build 138 in October 2013. The annotation includes an ‘All SNPs’ track that contains all mappings of reference SNPs to the human assembly, as well as three SNP subsets: Common SNPs (those with at least 1% minor allele frequency), Flagged SNPs (annotated by dbSNP as ‘clinical’) and Mult. SNPs (those that map to multiple genomic loci, and therefore should be viewed with suspicion). The updated tracks contain additional annotation data not included in previous dbSNP tracks, and offer coloring and filtering options for configuring the Genome Browser display. This year we released three new tracks that describe human disease-associated genetic variation based on curated public data in the Leiden Open Variation Database (LOVD) (16), the Human Gene Mutation Database (HGMD) (17) and amino acid mutations in the UniProt database (18). We also added two annotation sets based on Phase 1 sequencing data from the 1000 Genomes Project (19). The integrated variant calls track, 1000G Ph1 Vars, shows single nucleotide variants (SNVs), indels and structural variants (SVs) that have been phased into independent haplotypes, which the Genome Browser clusters by local similarity for display. The paired-end accessible regions track, 1000G Ph1 Accsbl, shows which genome regions are more or less accessible to next-generation sequencing methods that use short, paired-end reads.

Comparative alignments

The 60-species multiple alignment and conservation track released in 2012 for the GRCm38/mm10 mouse assembly was the largest comparative alignment track generated by UCSC to date. In 2013, we undertook an ambitious project to produce a 100-species conservation track on the GRCh37/hg19 human assembly, released to the public in Nov. 2013. As part of this undertaking we have been evaluating software alternatives, such as Cactus (20), to extend the scalability of our multiple alignment pipeline, which has been challenged by the increasing number of species.

ENCODE data

In the past year UCSC has focused on improving the accessibility and usability of the ENCODE data hosted in the Genome Browser. The ENCODE Analysis Working Group (AWG) reprocessed the transcription factor ChIP-seq and DNaseI HS peak call data sets released through March 2012 using the uniform processing pipeline developed for the ENCODE Integrative Analysis effort. This reprocessing factored out many of the cross-lab differences, allowing the different data sets to be used more effectively in the same analyses. These reprocessed data sets were released on the Genome Browser as the Transcription Factor ChIP-seq Uniform Peaks track (within the ENC TF Binding super-track) and the DNaseI Hypersensitivity Uniform Peaks track (within the ENC DNase/FAIRE super-track). The new data sets that met a specific integrated quality metric defined by the AWG (http://genome.ucsc.edu/ENCODE/qualityMetrics.html) were then used to update the individual Transcription Factor ChIP-seq Clusters and Digital DNaseI Hypersensitivity Clusters tracks within the ENCODE Integrated Regulation super-track set, providing summary clustered views. ENCODE data hosted in the Browser has now been fully accessioned through the Gene Expressions Omnibus (GEO) repository (21) and cross-linked back to UCSC. We also added the ENCODE Integrative Analysis Data Hub to the Genome Browser public hubs page (http://genome.ucsc.edu/cgi-bin/hgHubConnect) to provide easy, integrated access to AWG data. Together with the Roadmap Epigenomic data track hub (22), the ENCODE data provide a comprehensive look at DNA landmarks across a large number of tissues. The Genome Browser currently hosts a large amount of ChIP-seq data on transcription factors, many of which bind to specific DNA motifs. In late 2013, we plan to release an extension to this data type that displays the location of motifs within the peak and shows the sequence logo and matching score on the track details page for the peak.

Publications data

In 2012, we introduced a Publications track that shows mapped DNA and protein sequences, SNPs, cytogenetic bands and gene symbols that have been text-mined from biomedical articles in Elsevier, PubMed Central and other databases (23). In the past year we have doubled the number of research articles to more than 5 million, and now classify them into different categories (disease related, protein structure, cis-regulatory, etc.) depending on their keyword content. The categories are differentiated by color in the display, which can be filtered by categories or publishers.

Denisova data

In February 2013, we released a set of Denisova annotations tracks in conjunction with the publication of a paper by Meyer et al. (24). The sequence data were derived by applying a novel single-stranded DNA library preparation method to DNA previously extracted from 40 mg of a phalanx bone excavated from Denisova Cave in the Altai Mountains of southern Siberia. The Genome Browser tracks show mappings to the human reference sequence of high-coverage Denisova sequence reads, variant calls from sequence reads of 11 modern individuals and an archaic Denisovan individual, and mutations in the modern human lineage that rose to fixation or near fixation since the split from the last common ancestor with Denisovans, along with predicted functional effects from the Ensembl Variant Effect Predictor (25).

GENOME BROWSER SOFTWARE UPDATES

Track and assembly data hubs

In 2011 we introduced track data hubs (26), a means for users to import collections of their own locally hosted genome annotations into the Genome Browser where they may be organized, configured and viewed alongside native tracks. Track hubs now support four compressed binary indexed file formats: BigBed and BigWig (27), both developed at UCSC, BAM (28) and VCF/tabix (29). As genome sequencing becomes more accessible and cost-effective, we have faced a growing demand from researchers who wish to use the Genome Browser tools to browse and annotate genome sequences for which we do not host a database. In response to this need, we have extended the functionality of track data hubs to encompass entire assemblies that are not hosted natively on the Genome Browser. These ‘assembly data hubs’ enable researchers to import both the underlying reference sequence as well as data tracks annotating that sequence into the Genome Browser for display and analysis. The genome sequence is stored in the UCSC .2bit format and made available on the user’s remote web server, along with optional annotation data files stored in the same compressed binary formats supported by track data hubs. Track and assembly data hubs can be shared with others by providing the URL of the hub.txt file needed to load the hub. Hubs of general interest to the research community can be registered at UCSC for sharing on the Genome Browser website. We offer a growing collection of publicly shared track and assembly data hubs on the ‘Public Hubs’ tab on the Genome Browser Track Data Hubs web page (http://genome.ucsc.edu/cgi-bin/hgHubConnect), including data sets from the ENCODE AWG, the Roadmap Epigenomics Project (22) and the Blueprint Epigenome Project (30). For more information about creating and using assembly data hubs, refer to http://genomewiki.ucsc.edu/index.php/Assembly_Hubs and http://genome.ucsc.edu/goldenPath/help/hgTrackHubHelp.html.

Variant annotation integrator

To assist researchers in annotating and prioritizing thousands of variant calls from sequencing projects, we have developed a new software tool, the Variant Annotation Integrator (VAI). Given a set of variants uploaded as a custom track in either Personal Genome SNP (pgSnp) or VCF format, the VAI returns the predicted functional effect (e.g., synonymous, missense, frameshift, intronic) for each variant. The VAI can also provide several other types of relevant information, such as the dbSNP identifier if the variant is found in dbSNP, protein damage scores for missense variants from the Database of Non-synonymous Functional Predictions (dbNSFP) (31) and conservation scores computed from multiple-species alignments. Filters are available to focus results on the variants of greatest interest. The VAI can be accessed from the Genome Browser ‘Tools’ menu or through the VAI button on the ‘Manage Custom Tracks’ page that displays after a custom track is loaded into the Browser. For more information about the VAI, see http://genome.ucsc.edu/cgi-bin/hgVai.

Gene haplotype alleles

We have extended the protein-coding genes detail pages in the UCSC Genes track on the GRCh37/hg19 human assembly to include a section that displays and compares ‘gene haplotype alleles’ generated from phased chromosomal data from Phase 1 of the 1000 Genomes Project (19) (Figure 1). Each haplotype allele is a distinct set of variants found on at least one of the 1000 Genomes subject chromosomes. By default the common non-synonymous variants (those of at least 1% frequency) are displayed, although rare haplotypes are optionally available. The Browser shows the frequency of each haplotype in the 1000 Genomes populations and indicates the frequency with which it occurs homozygously. Unexpected frequencies of occurrence may be used to identify alleles that merit further study. Predicted protein sequence for common haplotypes can also be displayed, allowing differences among alleles to be used to identify differences at the amino acid level. To access the gene haplotype alleles information, go to the details page for any protein-coding gene in the UCSC Genes track (GRCh37/hg19 assembly) and click the ‘Gene Alleles’ link in the ‘Page Index’ matrix. For more information, see http://genome.ucsc.edu/goldenPath/help/haplotypes.html.
Figure 1.

The haplotype alleles display for the ABO gene, which encodes proteins related to the ABO blood group system. A large portion of the ‘Predicted full sequence’ section is truncated in the upper image for display purposes, and is shown in greater detail in the lower image. The leftmost columns of the top image indicate the frequency of each allele haplotype within the 1000 Genomes sample and the occurrence of homozygosity for each allele. In this instance the haplotype alleles display has been expanded to show the distribution of the haplotypes across the major 1000 Genomes population groups. The ‘Variant Sites’ columns summarize the non-synonymous variant sites that occur in at least 1% of the subject chromosomes, with the value from the reference genome (in this case GRCh37/hg19) indicated at the top of each variant column. In all but one case, the ‘O’ phenotype results from a common insertion (indicated by ‘-’ in the reference) causing a frameshift (indicated by ‘[≫]’) that results in a downstream premature stop codon, thus truncating the protein. Note that although certain haplotyes are more frequently found within one population, the insertion that gives rise to the majority of ‘O’ phenotypes is found across all populations, which may indicate that the insertion predates the most recent migration out of Africa. On the other hand, the haplotype in which the SNP variant introduces a stop codon at the variant site may have arisen in the Americas. The zoomed-in view of the ‘Predicted full sequence’ section in the bottom image shows the reference sequence (top row) and sequences incorporating the common non-synonymous variants. The residues corresponding to the variant sites are highlighted by green vertical bars, the site corresponding to the frameshift-causing insertion is highlighted by a blue bar and changes to the reference amino acid sequence are shown in red.

The haplotype alleles display for the ABO gene, which encodes proteins related to the ABO blood group system. A large portion of the ‘Predicted full sequence’ section is truncated in the upper image for display purposes, and is shown in greater detail in the lower image. The leftmost columns of the top image indicate the frequency of each allele haplotype within the 1000 Genomes sample and the occurrence of homozygosity for each allele. In this instance the haplotype alleles display has been expanded to show the distribution of the haplotypes across the major 1000 Genomes population groups. The ‘Variant Sites’ columns summarize the non-synonymous variant sites that occur in at least 1% of the subject chromosomes, with the value from the reference genome (in this case GRCh37/hg19) indicated at the top of each variant column. In all but one case, the ‘O’ phenotype results from a common insertion (indicated by ‘-’ in the reference) causing a frameshift (indicated by ‘[≫]’) that results in a downstream premature stop codon, thus truncating the protein. Note that although certain haplotyes are more frequently found within one population, the insertion that gives rise to the majority of ‘O’ phenotypes is found across all populations, which may indicate that the insertion predates the most recent migration out of Africa. On the other hand, the haplotype in which the SNP variant introduces a stop codon at the variant site may have arisen in the Americas. The zoomed-in view of the ‘Predicted full sequence’ section in the bottom image shows the reference sequence (top row) and sequences incorporating the common non-synonymous variants. The residues corresponding to the variant sites are highlighted by green vertical bars, the site corresponding to the frameshift-causing insertion is highlighted by a blue bar and changes to the reference amino acid sequence are shown in red.

Updates to Browser display and navigation

During the past year, we have made several improvements to the Genome Browser web interface, many in response to requests from our users. We have updated the navigation menus for much of the website and simplified the background on the Genome Browser tracks page. The Browser now offers chromosome ideograms for genome assemblies that do not have a microscopically derived cytology. The drag-reorder feature in the Browser image now supports the vertical dragging of subtracks to any location in the image. We have also made display improvements to overlay wiggle tracks, and have improved the display speed of bigDataUrl custom tracks.

User training and mirror support

We continually update and expand our documentation and training materials, which offer extensive information on using the Genome Browser tools to explore UCSC-hosted data sets as well as custom sequence and annotation data hosted at user sites. We are broadening our onsite training program to include several additional geographical regions. To better support our Genome Browser mirror sites and source code users, we have rearchitected the software makefile system for our utilities and command-line tools to allow the compilation of specific tools independent of a full Browser installation. We have also adopted UDR (https://github.com/LabAdvComp/UDR), a new package that integrates rsync with the high-performance network protocol UDT, allowing quicker transfers of our large data sets to remote mirror sites.

FUTURE PLANS

During the upcoming year we will continue to add new and updated genome assemblies for vertebrate organisms as they become available in NCBI’s GenBank repository. We plan to release a preliminary Browser with a minimal annotation set on the new GRCh38/hg38 human assembly in late 2013 or early 2014. New annotation data display types and features will be added as required by new data sets. We plan to extend track hubs to support new file formats, such as the HAL hierarchical multiple alignment format (32), and to allow searching for tracks within a hub. The VAI will be expanded to include more input/upload options, output formats and annotation options.

CONTACTING US

To stay on top of the latest Genome Browser announcements, genome assembly releases, new software features, updates and training seminars, subscribe to the genome-announce@soe.ucsc.edu mailing list or follow @GenomeBrowser on Twitter. We have two public, moderated mailing lists for interactive user support: genome@soe.ucsc.edu for general questions about the Genome Browser and genome-mirror@soe.ucsc.edu for questions specific to the setup and maintenance of Genome Browser mirrors. Messages sent to these lists are archived on public, searchable Google Groups forums. You may also reach us privately at genome-www@soe.ucsc.edu, the preferred address for inquiring about mirror site licenses, reporting server errors or contacting us about confidential issues. You will find complete contact information, links to the browser’s Google Groups forums and access to our user suggestion box at http://genome.ucsc.edu/contacts.html.

FUNDING

This work was supported by the National Human Genome Research Institute [5U4 HG002371 to G.P.B., H.C., J.C., T.R.D., P.A.F., L.G., S.H., A.S.H., M.H., D.K., W.J.K., R.M.K., K.L., B.T.L., C.H.L, B.J.R., B.R., M.L.S. and A.S.Z.; 1U41HG006992 subcontract 60141508-106846-A to D.K., W.J.K., K.L., M.S.C., T.R.D., B.J.R., K.R.R., C.A.S. and A.S.Z]; National Institute of Dental and Craniofacial Research [5U01DE020057 subcontract 1000736806 to G.P.B. and R.M.K.]; National Cancer Institute [1U41HG007234 subcontract 2186-03 to M.D. and R.H.; 5U24CA143858 to M.C.]. European Molecular Biology Organization Long-Term Fellowship (in part) [ALTF 292-2011 to M.H.]; Howard Hughes Medical Institute fellow (to D.H.). Funding for open access charge: National Human Genome Research Institute. Conflict of interest statement. G.P.B., H.C., M.D., T.R.D., P.A.F., L.G., D.H., R.A.H., S.H., A.S.H., D.K., W.J.K., R.M.K., K.L., C.H.L., B.J.R., B.R., K.R.R., C.A.S. and A.S.Z. receive royalties from the sale of UCSC Genome Browser source code licenses to commercial entities. W.J.K. works for Kent Informatics.
  31 in total

1.  The human genome browser at UCSC.

Authors:  W James Kent; Charles W Sugnet; Terrence S Furey; Krishna M Roskin; Tom H Pringle; Alan M Zahler; David Haussler
Journal:  Genome Res       Date:  2002-06       Impact factor: 9.043

2.  The consensus coding sequence (CCDS) project: Identifying a common protein-coding gene set for the human and mouse genomes.

Authors:  Kim D Pruitt; Jennifer Harrow; Rachel A Harte; Craig Wallin; Mark Diekhans; Donna R Maglott; Steve Searle; Catherine M Farrell; Jane E Loveland; Barbara J Ruef; Elizabeth Hart; Marie-Marthe Suner; Melissa J Landrum; Bronwen Aken; Sarah Ayling; Robert Baertsch; Julio Fernandez-Banet; Joshua L Cherry; Val Curwen; Michael Dicuccio; Manolis Kellis; Jennifer Lee; Michael F Lin; Michael Schuster; Andrew Shkeda; Clara Amid; Garth Brown; Oksana Dukhanina; Adam Frankish; Jennifer Hart; Bonnie L Maidak; Jonathan Mudge; Michael R Murphy; Terence Murphy; Jeena Rajan; Bhanu Rajput; Lillian D Riddick; Catherine Snow; Charles Steward; David Webb; Janet A Weber; Laurens Wilming; Wenyu Wu; Ewan Birney; David Haussler; Tim Hubbard; James Ostell; Richard Durbin; David Lipman
Journal:  Genome Res       Date:  2009-06-04       Impact factor: 9.043

3.  tRNAscan-SE: a program for improved detection of transfer RNA genes in genomic sequence.

Authors:  T M Lowe; S R Eddy
Journal:  Nucleic Acids Res       Date:  1997-03-01       Impact factor: 16.971

4.  A high-coverage genome sequence from an archaic Denisovan individual.

Authors:  Matthias Meyer; Martin Kircher; Marie-Theres Gansauge; Heng Li; Fernando Racimo; Swapan Mallick; Joshua G Schraiber; Flora Jay; Kay Prüfer; Cesare de Filippo; Peter H Sudmant; Can Alkan; Qiaomei Fu; Ron Do; Nadin Rohland; Arti Tandon; Michael Siebauer; Richard E Green; Katarzyna Bryc; Adrian W Briggs; Udo Stenzel; Jesse Dabney; Jay Shendure; Jacob Kitzman; Michael F Hammer; Michael V Shunkov; Anatoli P Derevianko; Nick Patterson; Aida M Andrés; Evan E Eichler; Montgomery Slatkin; David Reich; Janet Kelso; Svante Pääbo
Journal:  Science       Date:  2012-08-30       Impact factor: 47.728

5.  The NIH Roadmap Epigenomics Mapping Consortium.

Authors:  Bradley E Bernstein; John A Stamatoyannopoulos; Joseph F Costello; Bing Ren; Aleksandar Milosavljevic; Alexander Meissner; Manolis Kellis; Marco A Marra; Arthur L Beaudet; Joseph R Ecker; Peggy J Farnham; Martin Hirst; Eric S Lander; Tarjei S Mikkelsen; James A Thomson
Journal:  Nat Biotechnol       Date:  2010-10       Impact factor: 54.908

6.  dbNSFP v2.0: a database of human non-synonymous SNVs and their functional predictions and annotations.

Authors:  Xiaoming Liu; Xueqiu Jian; Eric Boerwinkle
Journal:  Hum Mutat       Date:  2013-07-10       Impact factor: 4.878

7.  A high-resolution map of human evolutionary constraint using 29 mammals.

Authors:  Kerstin Lindblad-Toh; Manuel Garber; Or Zuk; Michael F Lin; Brian J Parker; Stefan Washietl; Pouya Kheradpour; Jason Ernst; Gregory Jordan; Evan Mauceli; Lucas D Ward; Craig B Lowe; Alisha K Holloway; Michele Clamp; Sante Gnerre; Jessica Alföldi; Kathryn Beal; Jean Chang; Hiram Clawson; James Cuff; Federica Di Palma; Stephen Fitzgerald; Paul Flicek; Mitchell Guttman; Melissa J Hubisz; David B Jaffe; Irwin Jungreis; W James Kent; Dennis Kostka; Marcia Lara; Andre L Martins; Tim Massingham; Ida Moltke; Brian J Raney; Matthew D Rasmussen; Jim Robinson; Alexander Stark; Albert J Vilella; Jiayu Wen; Xiaohui Xie; Michael C Zody; Jen Baldwin; Toby Bloom; Chee Whye Chin; Dave Heiman; Robert Nicol; Chad Nusbaum; Sarah Young; Jane Wilkinson; Kim C Worley; Christie L Kovar; Donna M Muzny; Richard A Gibbs; Andrew Cree; Huyen H Dihn; Gerald Fowler; Shalili Jhangiani; Vandita Joshi; Sandra Lee; Lora R Lewis; Lynne V Nazareth; Geoffrey Okwuonu; Jireh Santibanez; Wesley C Warren; Elaine R Mardis; George M Weinstock; Richard K Wilson; Kim Delehaunty; David Dooling; Catrina Fronik; Lucinda Fulton; Bob Fulton; Tina Graves; Patrick Minx; Erica Sodergren; Ewan Birney; Elliott H Margulies; Javier Herrero; Eric D Green; David Haussler; Adam Siepel; Nick Goldman; Katherine S Pollard; Jakob S Pedersen; Eric S Lander; Manolis Kellis
Journal:  Nature       Date:  2011-10-12       Impact factor: 49.962

8.  An integrated map of genetic variation from 1,092 human genomes.

Authors:  Goncalo R Abecasis; Adam Auton; Lisa D Brooks; Mark A DePristo; Richard M Durbin; Robert E Handsaker; Hyun Min Kang; Gabor T Marth; Gil A McVean
Journal:  Nature       Date:  2012-11-01       Impact factor: 49.962

9.  An encyclopedia of mouse DNA elements (Mouse ENCODE).

Authors:  John A Stamatoyannopoulos; Michael Snyder; Ross Hardison; Bing Ren; Thomas Gingeras; David M Gilbert; Mark Groudine; Michael Bender; Rajinder Kaul; Theresa Canfield; Erica Giste; Audra Johnson; Mia Zhang; Gayathri Balasundaram; Rachel Byron; Vaughan Roach; Peter J Sabo; Richard Sandstrom; A Sandra Stehling; Robert E Thurman; Sherman M Weissman; Philip Cayting; Manoj Hariharan; Jin Lian; Yong Cheng; Stephen G Landt; Zhihai Ma; Barbara J Wold; Job Dekker; Gregory E Crawford; Cheryl A Keller; Weisheng Wu; Christopher Morrissey; Swathi A Kumar; Tejaswini Mishra; Deepti Jain; Marta Byrska-Bishop; Daniel Blankenberg; Bryan R Lajoie; Gaurav Jain; Amartya Sanyal; Kaun-Bei Chen; Olgert Denas; James Taylor; Gerd A Blobel; Mitchell J Weiss; Max Pimkin; Wulan Deng; Georgi K Marinov; Brian A Williams; Katherine I Fisher-Aylor; Gilberto Desalvo; Anthony Kiralusha; Diane Trout; Henry Amrhein; Ali Mortazavi; Lee Edsall; David McCleary; Samantha Kuan; Yin Shen; Feng Yue; Zhen Ye; Carrie A Davis; Chris Zaleski; Sonali Jha; Chenghai Xue; Alex Dobin; Wei Lin; Meagan Fastuca; Huaien Wang; Roderic Guigo; Sarah Djebali; Julien Lagarde; Tyrone Ryba; Takayo Sasaki; Venkat S Malladi; Melissa S Cline; Vanessa M Kirkup; Katrina Learned; Kate R Rosenbloom; W James Kent; Elise A Feingold; Peter J Good; Michael Pazin; Rebecca F Lowdon; Leslie B Adams
Journal:  Genome Biol       Date:  2012-08-13       Impact factor: 13.583

10.  The Human Gene Mutation Database: 2008 update.

Authors:  Peter D Stenson; Matthew Mort; Edward V Ball; Katy Howells; Andrew D Phillips; Nick St Thomas; David N Cooper
Journal:  Genome Med       Date:  2009-01-22       Impact factor: 11.117

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  407 in total

1.  Genomic variant annotation and prioritization with ANNOVAR and wANNOVAR.

Authors:  Hui Yang; Kai Wang
Journal:  Nat Protoc       Date:  2015-09-17       Impact factor: 13.491

2.  ERC analysis: web-based inference of gene function via evolutionary rate covariation.

Authors:  Nicholas W Wolfe; Nathan L Clark
Journal:  Bioinformatics       Date:  2015-08-04       Impact factor: 6.937

3.  NeuroD1 reprograms chromatin and transcription factor landscapes to induce the neuronal program.

Authors:  Abhijeet Pataskar; Johannes Jung; Pawel Smialowski; Florian Noack; Federico Calegari; Tobias Straub; Vijay K Tiwari
Journal:  EMBO J       Date:  2015-10-29       Impact factor: 11.598

Review 4.  The PRMT5 arginine methyltransferase: many roles in development, cancer and beyond.

Authors:  Nicole Stopa; Jocelyn E Krebs; David Shechter
Journal:  Cell Mol Life Sci       Date:  2015-02-07       Impact factor: 9.261

5.  Missense splice variant (g.20746A>G, p.Ile183Val) of interferon gamma receptor 1 (IFNGR1) coincidental with mycobacterial osteomyelitis - a screen of osteoarticular lesions.

Authors:  Agnieszka Bińczak-Kuleta; Aleksander Szwed; Mark R Walter; Maciej Kołban; Andrzej Ciechanowicz; Jeremy S C Clark
Journal:  Bosn J Basic Med Sci       Date:  2016-06-29       Impact factor: 3.363

6.  Genome-wide quantification of the effects of DNA methylation on human gene regulation.

Authors:  Amanda J Lea; Christopher M Vockley; Rachel A Johnston; Christina A Del Carpio; Luis B Barreiro; Timothy E Reddy; Jenny Tung
Journal:  Elife       Date:  2018-12-21       Impact factor: 8.140

7.  The short stature homeobox 2 (Shox2)-bone morphogenetic protein (BMP) pathway regulates dorsal mesenchymal protrusion development and its temporary function as a pacemaker during cardiogenesis.

Authors:  Cheng Sun; Diankun Yu; Wenduo Ye; Chao Liu; Shuping Gu; Nathan R Sinsheimer; Zhongchen Song; Xihai Li; Chun Chen; Yingnan Song; Shusheng Wang; Laura Schrader; YiPing Chen
Journal:  J Biol Chem       Date:  2014-12-08       Impact factor: 5.157

8.  Multi-variant study of obesity risk genes in African Americans: The Jackson Heart Study.

Authors:  Shijian Liu; James G Wilson; Fan Jiang; Michael Griswold; Adolfo Correa; Hao Mei
Journal:  Gene       Date:  2016-08-26       Impact factor: 3.688

9.  Pharmacogenetic associations of the type-3 metabotropic glutamate receptor (GRM3) gene with working memory and clinical symptom response to antipsychotics in first-episode schizophrenia.

Authors:  Jeffrey R Bishop; James L Reilly; Margret S H Harris; Shitalben R Patel; Rick Kittles; Judith A Badner; Konasale M Prasad; Vishwajit L Nimgaonkar; Matcheri S Keshavan; John A Sweeney
Journal:  Psychopharmacology (Berl)       Date:  2014-08-07       Impact factor: 4.530

10.  SEA: a super-enhancer archive.

Authors:  Yanjun Wei; Shumei Zhang; Shipeng Shang; Bin Zhang; Song Li; Xinyu Wang; Fang Wang; Jianzhong Su; Qiong Wu; Hongbo Liu; Yan Zhang
Journal:  Nucleic Acids Res       Date:  2015-11-17       Impact factor: 16.971

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