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Nucleic Acids Research | 2006

The UCSC genome browser database: update 2007

Robert M. Kuhn; Donna Karolchik; Ann S. Zweig; Heather Trumbower; Daryl J. Thomas; Archana Thakkapallayil; Charles W. Sugnet; Mario Stanke; Kayla E. Smith; Adam Siepel; Kate R. Rosenbloom; Brooke Rhead; Brian J. Raney; Andrew A. Pohl; Jakob Skou Pedersen; Fan Hsu; Angie S. Hinrichs; Rachel A. Harte; Mark Diekhans; Hiram Clawson; Gill Bejerano; Galt P. Barber; Robert Baertsch; David Haussler; William Kent

The UCSC Genome Browser Database (GBD, http://genome.ucsc.edu) is a publicly available collection of genome assembly sequence data and integrated annotations for a large number of organisms, including extensive comparative-genomic resources. In the past year, 13 new genome assemblies have been added, including two important primate species, orangutan and marmoset, bringing the total to 46 assemblies for 24 different vertebrates and 39 assemblies for 22 different invertebrate animals. The GBD datasets may be viewed graphically with the UCSC Genome Browser, which uses a coordinate-based display system allowing users to juxtapose a wide variety of data. These data include all mRNAs from GenBank mapped to all organisms, RefSeq alignments, gene predictions, regulatory elements, gene expression data, repeats, SNPs and other variation data, as well as pairwise and multiple-genome alignments. A variety of other bioinformatics tools are also provided, including BLAT, the Table Browser, the Gene Sorter, the Proteome Browser, VisiGene and Genome Graphs.


Nucleic Acids Research | 2007

The UCSC Genome Browser Database: 2008 update

Donna Karolchik; Robert M. Kuhn; Robert Baertsch; Galt P. Barber; Hiram Clawson; Mark Diekhans; Belinda Giardine; Rachel A. Harte; Angie S. Hinrichs; Fan Hsu; K. M. Kober; Webb Miller; Jakob Skou Pedersen; Andy Pohl; Brian J. Raney; Brooke Rhead; Kate R. Rosenbloom; Kayla E. Smith; Mario Stanke; Archana Thakkapallayil; Heather Trumbower; Ting Wang; Ann S. Zweig; David Haussler; William Kent

The University of California, Santa Cruz, Genome Browser Database (GBD) provides integrated sequence and annotation data for a large collection of vertebrate and model organism genomes. Seventeen new assemblies have been added to the database in the past year, for a total coverage of 19 vertebrate and 21 invertebrate species as of September 2007. For each assembly, the GBD contains a collection of annotation data aligned to the genomic sequence. Highlights of this year’s additions include a 28-species human-based vertebrate conservation annotation, an enhanced UCSC Genes set, and more human variation, MGC, and ENCODE data. The database is optimized for fast interactive performance with a set of web-based tools that may be used to view, manipulate, filter and download the annotation data. New toolset features include the Genome Graphs tool for displaying genome-wide data sets, session saving and sharing, better custom track management, expanded Genome Browser configuration options and a Genome Browser wiki site. The downloadable GBD data, the companion Genome Browser toolset and links to documentation and related information can be found at: http://genome.ucsc.edu/. INTRODUCTION Fundamental to expanding our knowledge of how the human body works in health and in disease is the capability to access and share data produced through experimentation and computational analysis. The University of California, Santa Cruz (UCSC) Genome Browser Database (GBD) (http://genome.ucsc.edu) (1) provides a common repository for genomic annotation data—including comparative genomics, genes and gene predictions; mRNA and EST alignments; and expression, regulation, variation and assembly data—and robust, flexible tools for viewing, comparing, distributing and analyzing the information. Produced and maintained by the Genome Bioinformatics Group at the UCSC Center for Biomolecular Science and Engineering, the GBD focuses primarily on vertebrate and model organism genomes, with an emphasis on comparative genomics analysis. As of September 2007 the GBD contains data for 11 mammalian species including human, mouse, rat, chimpanzee, rhesus macaque, horse, cow, cat, dog, opossum and platypus; 8 other vertebrates: chicken, lizard (Anolis carolinensis), frog (Xenopus tropicalis), zebrafish, fugu, tetraodon, medaka and stickleback; and 21 invertebrates including 11 flies, honeybee, Anopheles mosquito, five worms, one yeast (Saccharomyces cerevisiae) and two deuterostomes—purple sea urchin and sea squirt. For many of the organisms, more than one assembly is provided, and several older archived assemblies may be *To whom correspondence should be addressed. Tel: +1 831 459 1544; Fax: +1 831 459 1809; Email: [email protected] University of California, Santa Cruz, Genome Browser Database (GBD) provides integrated sequence and annotation data for a large collection of vertebrate and model organism genomes. Seventeen new assemblies have been added to the database in the past year, for a total coverage of 19 vertebrate and 21 invertebrate species as of September 2007. For each assembly, the GBD contains a collection of annotation data aligned to the genomic sequence. Highlights of this years additions include a 28-species human-based vertebrate conservation annotation, an enhanced UCSC Genes set, and more human variation, MGC, and ENCODE data. The database is optimized for fast interactive performance with a set of web-based tools that may be used to view, manipulate, filter and download the annotation data. New toolset features include the Genome Graphs tool for displaying genome-wide data sets, session saving and sharing, better custom track management, expanded Genome Browser configuration options and a Genome Browser wiki site. The downloadable GBD data, the companion Genome Browser toolset and links to documentation and related information can be found at: http://genome.ucsc.edu/.


Nucleic Acids Research | 2007

Variation resources at UC Santa Cruz

Daryl J. Thomas; Heather Trumbower; Andrew D. Kern; Brooke Rhead; Robert M. Kuhn; David Haussler; W. James Kent

The variation resources within the University of California Santa Cruz Genome Browser include polymorphism data drawn from public collections and analyses of these data, along with their display in the context of other genomic annotations. Primary data from dbSNP is included for many organisms, with added information including genomic alleles and orthologous alleles for closely related organisms. Display filtering and coloring is available by variant type, functional class or other annotations. Annotation of potential errors is highlighted and a genomic alignment of the variants flanking sequence is displayed. HapMap allele frequencies and linkage disequilibrium (LD) are available for each HapMap population, along with non-human primate alleles. The browsing and analysis tools, downloadable data files and links to documentation and other information can be found at .


PLOS ONE | 2010

Presymptomatic risk assessment for chronic non-communicable diseases.

Badri Padhukasahasram; Eran Halperin; Jennifer Wessel; Daryl J. Thomas; Elana Silver; Heather Trumbower; Michele Cargill; Dietrich A. Stephan

The prevalence of common chronic non-communicable diseases (CNCDs) far overshadows the prevalence of both monogenic and infectious diseases combined. All CNCDs, also called complex genetic diseases, have a heritable genetic component that can be used for pre-symptomatic risk assessment. Common single nucleotide polymorphisms (SNPs) that tag risk haplotypes across the genome currently account for a non-trivial portion of the germ-line genetic risk and we will likely continue to identify the remaining missing heritability in the form of rare variants, copy number variants and epigenetic modifications. Here, we describe a novel measure for calculating the lifetime risk of a disease, called the genetic composite index (GCI), and demonstrate its predictive value as a clinical classifier. The GCI only considers summary statistics of the effects of genetic variation and hence does not require the results of large-scale studies simultaneously assessing multiple risk factors. Combining GCI scores with environmental risk information provides an additional tool for clinical decision-making. The GCI can be populated with heritable risk information of any type, and thus represents a framework for CNCD pre-symptomatic risk assessment that can be populated as additional risk information is identified through next-generation technologies.


computational systems bioinformatics | 2005

Key features of the UCSC genome site

Heather Trumbower; Jennifer Jackson

The UCSC Genome site has been contributing to the public genomics community for over 5 years. We wish to highlight the key features, both new and old.


Nature Precedings | 2009

Curating Genetic Association Literature for Common Diseases

Elana Silver; Eran Halperin; Kord M. Kober; Badri Padhukasahasram; Nila Patil; Michelle Sommargren; Dietrich A. Stephan; Daryl J. Thomas; Heather Trumbower; Michele Cargill

Papers describing genetic associations with common diseases are currently being published at a rapid rate. These new papers add to an already large body of literature which includes candidate gene studies, genome wide association studies, review papers, and meta-analyses. Related papers describe the basic epidemiology of these common diseases, gene-environment interactions, gene-gene interactions, and pharmacogenomics (gene-drug interactions), all of which may affect disease predisposition and management.


Genome Research | 2007

Analyses of deep mammalian sequence alignments and constraint predictions for 1% of the human genome

Elliott H. Margulies; Gregory M. Cooper; George Asimenos; Daryl J. Thomas; Colin N. Dewey; Adam Siepel; Ewan Birney; Damian Keefe; Ariel S. Schwartz; Minmei Hou; James Taylor; Sergey Igorievich Nikolaev; Juan I. Montoya-Burgos; Ari Löytynoja; Simon Whelan; Tim Massingham; James B. Brown; Peter J. Bickel; Ian Holmes; James C. Mullikin; Abel Ureta-Vidal; Benedict Paten; Eric A. Stone; Kate R. Rosenbloom; W. James Kent; Gerard G. Bouffard; Xiaobin Guan; Nancy F. Hansen; Jacquelyn R. Idol; Valerie Maduro


Nucleic Acids Research | 2007

The ENCODE Project at UC Santa Cruz

Daryl J. Thomas; Kate R. Rosenbloom; Hiram Clawson; Angie S. Hinrichs; Heather Trumbower; Brian J. Raney; Donna Karolchik; Galt P. Barber; Rachel A. Harte; Jennifer Hillman-Jackson; Robert M. Kuhn; Brooke Rhead; Kayla E. Smith; Archana Thakkapallayil; Ann S. Zweig; David Haussler; W. James Kent


Human Mutation | 2007

PhenCode: connecting ENCODE data with mutations and phenotype

Belinda Giardine; Cathy Riemer; Tim Hefferon; Daryl J. Thomas; Fan Hsu; Julian Zielenski; Yunhua Sang; Laura Elnitski; Garry R. Cutting; Heather Trumbower; Andrew D. Kern; Robert M. Kuhn; George P. Patrinos; Jim R. Hughes; Doug Higgs; David H.K. Chui; Charles R. Scriver; Manyphong Phommarinh; Santosh Kumar Patnaik; Olga O. Blumenfeld; Bruce Gottlieb; Mauno Vihinen; Jouni Väliaho; Jim Kent; Webb Miller; Ross C. Hardison


Genome Research | 2005

Exploring relationships and mining data with the UCSC Gene Sorter

William Kent; Fan Hsu; Donna Karolchik; Robert M. Kuhn; Hiram Clawson; Heather Trumbower; David Haussler

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Robert M. Kuhn

University of California

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David Haussler

University of California

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Brooke Rhead

University of California

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Fan Hsu

University of California

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Hiram Clawson

University of California

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Ann S. Zweig

University of California

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