University Of California Santa Cruz Genome Browser Research Articles

Recent advances in the detection of repeat expansions with short-read next-generation sequencing.

Short tandem repeats (STRs), also known as microsatellites, are commonly defined as consisting of tandemly repeated nucleotide motifs of 2–6 base pairs in length. STRs appear throughout the human genome, and about 239,000 are documented in the Simple Repeats Track available from the UCSC (University of California, Santa Cruz) genome browser. STRs vary in size, producing highly polymorphic markers commonly used as genetic markers. A small fraction of STRs (about 30 loci) have been associated with human disease whereby one or both alleles exceed an STR-specific threshold in size, leading to disease. Detection of repeat expansions is currently performed with polymerase chain reaction–based assays or with Southern blots for large expansions. The tests are expensive and time-consuming and are not always conclusive, leading to lengthy diagnostic journeys for patients, potentially including missed diagnoses. The advent of whole exome and whole genome sequencing has identified the genetic cause of many genetic disorders; however, analysis pipelines are focused primarily on the detection of short nucleotide variations and short insertions and deletions (indels). Until recently, repeat expansions, with the exception of the smallest expansion (SCA6), were not detectable in next-generation short-read sequencing datasets and would have been ignored in most analyses. In the last two years, four analysis methods with accompanying software (ExpansionHunter, exSTRa, STRetch, and TREDPARSE) have been released. Although a comprehensive comparative analysis of the performance of these methods across all known repeat expansions is still lacking, it is clear that these methods are a valuable addition to any existing analysis pipeline. Here, we detail how to assess short-read data for evidence of expansions, reviewing all four methods and outlining their strengths and weaknesses. Implementation of these methods should lead to increased diagnostic yield of repeat expansion disorders for known STR loci and has the potential to detect novel repeat expansions.

Immune system-related differentially expressed genes, transcription factors and microRNAs in post-menopausal females with osteopenia.

This study was to identify differentially expressed genes (DEGs) in post-menopausal females with osteopenia and further screened the potentially involved transcription factors (TFs) and microRNAs (miRNAs). Data set GSE13850 of circulating B lymphocytes from post-menopausal females with low or high bone mineral density (BMD) was downloaded from Gene Expression Omnibus. Limma package in R was used to identify DEGs following raw data processing. Enrichment analysis was performed using DAVID (Database for Annotation, Visualization and Integrated Discovery) and visualized using plug-in EnrichmentMap of Cytoscape software. The TFs of DEGs were screened using UCSC (University of California, Santa Cruz) Genome Browser, and miRNAs targeting DEGs were predicted using TarBase, TargetScan and miRecord databases, followed by constructing regulatory networks using Cytoscape software. Totally 52 DEGs were obtained from post-menopausal females with low BMD compared with those with high BMD. Those DEGs including IL-4R, IL-2RG, TGF-β1 and CD74 were mostly related to functions associated with immune response, lymphocyte activation, T cell differentiation, leucocyte activation and immune system process. NFAT, NF-κB and EGR family members might have a regulatory effect on these DEGs. PAX5 could regulate 15 DEGs including ZFP36L2 and KLF13. Abundant miRNAs were also found to target dysregulated ZFP36L2 and KLF13. Dysregulated IL-4R, IL-2RG, TGF-β1 and CD74 may mediate the interplay of immune changes and oestrogen deficiency-induced osteopenia, and disorder functions of NF-κB, NFAT and EGR family members. PAX5 and various miRNAs might exert regulatory effect on osteopenia via targeting ZFP36L2 and KLF13.

Navigating protected genomics data with UCSC Genome Browser in a Box.

Summary: Genome Browser in a Box (GBiB) is a small virtual machine version of the popular University of California Santa Cruz (UCSC) Genome Browser that can be run on a researcher's own computer. Once GBiB is installed, a standard web browser is used to access the virtual server and add personal data files from the local hard disk. Annotation data are loaded on demand through the Internet from UCSC or can be downloaded to the local computer for faster access.Availability and implementation: Software downloads and installation instructions are freely available for non-commercial use at https://genome-store.ucsc.edu/. GBiB requires the installation of open-source software VirtualBox, available for all major operating systems, and the UCSC Genome Browser, which is open source and free for non-commercial use. Commercial use of GBiB and the Genome Browser requires a license (http://genome.ucsc.edu/license/).Contact: genome@soe.ucsc.edu

GPAC—Genome Presence/Absence Compiler: A Web Application to Comparatively Visualize Multiple Genome-Level Changes

Our understanding of genome-wide and comparative sequence information has been broadened considerably by the databases available from the University of California Santa Cruz (UCSC) Genome Bioinformatics Department. In particular, the identification and visualization of genomic sequences, present in some species but absent in others, led to fundamental insights into gene and genome evolution. However, the UCSC tools currently enable one to visualize orthologous genomic loci for a range of species in only a single locus. For large-scale comparative analyses of such presence/absence patterns a multilocus view would be more desirable. Such a tool would enable us to compare thousands of relevant loci simultaneously and to resolve many different questions about, for example, phylogeny, specific aspects of genome and gene evolution, such as the gain or loss of exons and introns, the emergence of novel transposed elements, nonprotein-coding RNAs, and viral genomic particles. Here, we present the first tool to facilitate the parallel analysis of thousands of genomic loci for cross-species presence/absence patterns based on multiway genome alignments. This genome presence/absence compiler uses annotated or other compilations of coordinates of genomic locations and compiles all presence/absence patterns in a flexible, color-coded table linked to the individual UCSC Genome Browser alignments. We provide examples of the versatile information content of such a screening system especially for 7SL-derived transposed elements, nuclear mitochondrial DNA, DNA transposons, and miRNAs in primates (http://www.bioinformatics.uni-muenster.de/tools/gpac, last accessed October 1, 2014).

The UCSC Ebola Genome Portal.

Background: With the Ebola epidemic raging out of control in West Africa, there has been a flurry of research into the Ebola virus, resulting in the generation of much genomic data. Methods: In response to the clear need for tools that integrate multiple strands of research around molecular sequences, we have created the University of California Santa Cruz (UCSC) Ebola Genome Browser, an adaptation of our popular UCSC Genome Browser web tool, which can be used to view the Ebola virus genome sequence from GenBank and nearly 30 annotation tracks generated by mapping external data to the reference sequence. Significant annotations include a multiple alignment comprising 102 Ebola genomes from the current outbreak, 56 from previous outbreaks, and 2 Marburg genomes as an outgroup; a gene track curated by NCBI; protein annotations curated by UniProt and antibody-binding epitopes curated by IEDB. We have extended the Genome Browser’s multiple alignment color-coding scheme to distinguish mutations resulting from non-synonymous coding changes, synonymous changes, or changes in untranslated regions. Discussion: Our Ebola Genome portal at http://genome.ucsc.edu/ebolaPortal/ links to the Ebola virus Genome Browser and an aggregate of useful information, including a collection of Ebola antibodies we are curating.

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

Life, the Universe, and Everything: An Interview with David Haussler

Among the pantheon of computer scientists who have framed our capacity to interpret DNA sequences stands David Haussler of the University of California, Santa Cruz (UCSC). Applying his prowess in computer learning theory to the problems of protein modeling and gene structure prediction, Haussler emerged in the mid-1990s as a trail-blazer in the field of computational biology. He came to wider prominence in 2000 during the frenetic race to produce a draft sequence of the human genome by nucleating an impassioned team of coders and engineers who assembled the sequence data and launched the UCSC Genome Browser. Fittingly, his team's contribution made manifest the vision of Robert Sinsheimer, who as Chancellor of UCSC in 1985 convened a pivotal workshop to explore sequencing the human genome.

The UCSC Genome Browser database: extensions and updates 2013.

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 wide variety of organisms. The Browser is an integrated tool set for visualizing, comparing, analysing and sharing both publicly available and user-generated genomic datasets. As of September 2012, genomic sequence and a basic set of annotation ‘tracks’ are provided for 63 organisms, including 26 mammals, 13 non-mammal vertebrates, 3 invertebrate deuterostomes, 13 insects, 6 worms, yeast and sea hare. In the past year 19 new genome assemblies have been added, and we anticipate releasing another 28 in early 2013. Further, a large number of annotation tracks have been either added, updated by contributors or remapped to the latest human reference genome. Among these are an updated UCSC Genes track for human and mouse assemblies. We have also introduced several features to improve usability, including new navigation menus. This article provides an update to the UCSC Genome Browser database, which has been previously featured in the Database issue of this journal.

HD-CNV: hotspot detector for copy number variants

Copy number variants (CNVs) are a major source of genetic variation. Comparing CNVs between samples is important in elucidating their potential effects in a wide variety of biological contexts. HD-CNV (hotspot detector for copy number variants) is a tool for downstream analysis of previously identified CNV regions from multiple samples, and it detects recurrent regions by finding cliques in an interval graph generated from the input. It creates a unique graphical representation of the data, as well as summary spreadsheets and UCSC (University of California, Santa Cruz) Genome Browser track files. The interval graph, when viewed with other software or by automated graph analysis, is useful in identifying genomic regions of interest for further study. HD-CNV is an open source Java code and is freely available, with tutorials and sample data from http://daleylab.org. jcamer7@uwo.ca

The Ruby UCSC API: accessing the UCSC genome database using Ruby

BackgroundThe University of California, Santa Cruz (UCSC) genome database is among the most used sources of genomic annotation in human and other organisms. The database offers an excellent web-based graphical user interface (the UCSC genome browser) and several means for programmatic queries. A simple application programming interface (API) in a scripting language aimed at the biologist was however not yet available. Here, we present the Ruby UCSC API, a library to access the UCSC genome database using Ruby.ResultsThe API is designed as a BioRuby plug-in and built on the ActiveRecord 3 framework for the object-relational mapping, making writing SQL statements unnecessary. The current version of the API supports databases of all organisms in the UCSC genome database including human, mammals, vertebrates, deuterostomes, insects, nematodes, and yeast.The API uses the bin index—if available—when querying for genomic intervals. The API also supports genomic sequence queries using locally downloaded *.2bit files that are not stored in the official MySQL database. The API is implemented in pure Ruby and is therefore available in different environments and with different Ruby interpreters (including JRuby).ConclusionsAssisted by the straightforward object-oriented design of Ruby and ActiveRecord, the Ruby UCSC API will facilitate biologists to query the UCSC genome database programmatically. The API is available through the RubyGem system. Source code and documentation are available at https://github.com/misshie/bioruby-ucsc-api/ under the Ruby license. Feedback and help is provided via the website at http://rubyucscapi.userecho.com/.

Next-Generation Sequencing Strategies Enable Routine Detection of Balanced Chromosome Rearrangements for Clinical Diagnostics and Genetic Research

The contribution of balanced chromosomal rearrangements to complex disorders remains unclear because they are not detected routinely by genome-wide microarrays and clinical localization is imprecise. Failure to consider these events bypasses a potentially powerful complement to single nucleotide polymorphism and copy-number association approaches to complex disorders, where much of the heritability remains unexplained. To capitalize on this genetic resource, we have applied optimized sequencing and analysis strategies to test whether these potentially high-impact variants can be mapped at reasonable cost and throughput. By using a whole-genome multiplexing strategy, rearrangement breakpoints could be delineated at a fraction of the cost of standard sequencing. For rearrangements already mapped regionally by karyotyping and fluorescence in situ hybridization, a targeted approach enabled capture and sequencing of multiple breakpoints simultaneously. Importantly, this strategy permitted capture and unique alignment of up to 97% of repeat-masked sequences in the targeted regions. Genome-wide analyses estimate that only 3.7% of bases should be routinely omitted from genomic DNA capture experiments. Illustrating the power of these approaches, the rearrangement breakpoints were rapidly defined to base pair resolution and revealed unexpected sequence complexity, such as co-occurrence of inversion and translocation as an underlying feature of karyotypically balanced alterations. These findings have implications ranging from genome annotation to de novo assemblies and could enable sequencing screens for structural variations at a cost comparable to that of microarrays in standard clinical practice.

ENCODE whole-genome data in the UCSC Genome Browser

The Encyclopedia of DNA Elements (ENCODE) project is an international consortium of investigators funded to analyze the human genome with the goal of producing a comprehensive catalog of functional elements. The ENCODE Data Coordination Center at The University of California, Santa Cruz (UCSC) is the primary repository for experimental results generated by ENCODE investigators. These results are captured in the UCSC Genome Bioinformatics database and download server for visualization and data mining via the UCSC Genome Browser and companion tools (Rhead et al. The UCSC Genome Browser Database: update 2010, in this issue). The ENCODE web portal at UCSC (http://encodeproject.org or http://genome.ucsc.edu/ENCODE) provides information about the ENCODE data and convenient links for access.

Analysis of Complex Disease Association and Linkage Studies Using the University of California Santa Cruz Genome Browser

The sequencing of the human genome, the identification of common single-nucleotide polymorphisms (SNPs) and haplotype blocks, and advances in microarray technology have enabled the study of complex diseases at a level of detail not previously imaginable. These have aided in the design and analyses of association and linkage studies of many complex diseases including cardiovascular disease. Recent technological advances have enabled the undertaking of large-scale genome-wide association studies (GWAS) that can assay hundreds of thousands of polymorphic sites on hundreds to thousands of individuals to find genomic regions associated with disease. Although results from these experiments enable the identification of smaller regions of association compared with previous studies, as with all linkage and association studies, there is the need for the further investigation of regions of interest for the causal genes or variants. The purpose of this review is to present a detailed demonstration as to how publicly available resources can be used to easily guide more detailed research into genomic regions of interest identified in linkage and association study data. Large-scale projects, such as the Human Genome Sequencing project,1,2 have generated large volumes and varieties of annotated genomic data necessitating the development of Internet-based tools to organize and make practically available these public data. One important tool in human disease research is the web-based graphical genome browsers that use the human genome sequence as the framework on which to organize genomic annotations, providing various ways for researchers to view and extract important information. Currently, there are 3 human genome browsers that have been developed for public use: (1) the National Center for Biotechnology Information (NCBI) Map Viewer3; (2) the University of California Santa Cruz (UCSC) Genome Browser4; and (3) the European Bioinformatics Institute’s Ensembl system.5 Although these genome browsers share common features and …

Exploring relationships and mining data with the UCSC Gene Sorter: Figure 1.

In parallel with the human genome sequencing and assembly effort, many tools have been developed to examine the structure and function of the human gene set. The University of California Santa Cruz (UCSC) Gene Sorter has been created as a gene-based counterpart to the chromosome-oriented UCSC Genome Browser to facilitate the study of gene function and evolution. This simple, but powerful tool provides a graphical display of related genes that can be sorted and filtered based on a variety of criteria. Genes may be ordered based on such characteristics as expression profiles, proximity in genome, shared Gene Ontology (GO) terms, and protein similarity. The display can be restricted to a gene set meeting a specific set of constraints by filtering on expression levels, gene name or ID, chromosomal position, and so on. The default set of information for each gene entry-gene name, selected expression data, a BLASTP E-value, genomic position, and a description-can be configured to include many other types of data, including expanded expression data, related accession numbers and IDs, orthologs in other species, GO terms, and much more. The Gene Sorter, a CGI-based Web application written in C with a MySQL database, is tightly integrated with the other applications in the UCSC Genome Browser suite. Available on a selected subset of the genome assemblies found in the Genome Browser, it further enhances the usefulness of the UCSC tool set in interactive genomic exploration and analysis.

The UCSC Proteome Browser

The University of California Santa Cruz (UCSC) Proteome Browser provides a wealth of protein information presented in graphical images and with links to other protein-related Internet sites. The Proteome Browser is tightly integrated with the UCSC Genome Browser. For the first time, Genome Browser users have both the genome and proteome worlds at their fingertips simultaneously. The Proteome Browser displays tracks of protein and genomic sequences, exon structure, polarity, hydrophobicity, locations of cysteine and glycosylation potential, Superfamily domains and amino acids that deviate from normal abundance. Histograms show genome-wide distribution of protein properties, including isoelectric point, molecular weight, number of exons, InterPro domains and cysteine locations, together with specific property values of the selected protein. The Proteome Browser also provides links to gene annotations in the Genome Browser, the Known Genes details page and the Gene Sorter; domain information from Superfamily, InterPro and Pfam; three-dimensional structures at the Protein Data Bank and ModBase; and pathway data at KEGG, BioCarta/CGAP and BioCyc. As of August 2004, the Proteome Browser is available for human, mouse and rat proteomes. The browser may be accessed from any Known Genes details page of the Genome Browser at http://genome.ucsc.edu. A user's guide is also available on this website.

The UCSC Genome Browser

AbstractThe UCSC Genome Browser is a popular Web‐based tool for quickly displaying a requested portion of a genome at any scale, accompanied by a series of aligned annotation tracks. The annotations ‐ some of which are generated at the University of California, Santa Cruz (UCSC) and some by external collaborators ‐ display gene predictions, mRNA alignments, expressed sequence tag alignments, cross‐species homologies, single nucleotide polymorphisms, and several other types of data. All information relevant to a region is presented in one window, facilitating biological analysis and interpretation. Users can also upload custom annotation tracks for research or educational use. This unit describes how to use and customize the UCSC Genome Browser, download the underlying database tables, and create and display custom annotation tracks.

The UCSC Genome Browser Database.

The University of California Santa Cruz (UCSC) Genome Browser Database is an up to date source for genome sequence data integrated with a large collection of related annotations. The database is optimized to support fast interactive performance with the web-based UCSC Genome Browser, a tool built on top of the database for rapid visualization and querying of the data at many levels. The annotations for a given genome are displayed in the browser as a series of tracks aligned with the genomic sequence. Sequence data and annotations may also be viewed in a text-based tabular format or downloaded as tab-delimited flat files. The Genome Browser Database, browsing tools and downloadable data files can all be found on the UCSC Genome Bioinformatics website (http://genome.ucsc.edu), which also contains links to documentation and related technical information.