Biology:UCSC Genome Browser
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| Description | The UCSC Genome Browser |
| Contact | |
| Research centre | University of California Santa Cruz |
| Laboratory | Center for Biomolecular Science and Engineering, Baskin School of Engineering |
| Primary citation | Navarro Gonzalez & al. (2021)[1] |
| Access | |
| Website | genome |
The UCSC Genome Browser is an online and downloadable genome browser hosted by the University of California, Santa Cruz (UCSC).[2][3][4] It is an interactive website offering access to genome sequence data from a variety of vertebrate and invertebrate species and major model organisms, integrated with a large collection of aligned annotations. The Browser is a graphical viewer optimized to support fast interactive performance and is an open-source, web-based tool suite built on top of a MySQL database for rapid visualization, examination, and querying of the data at many levels. The Genome Browser Database, browsing tools, downloadable data files, and documentation can all be found on the UCSC Genome Bioinformatics website.
History
Initially built and still managed by Jim Kent, then a graduate student, and David Haussler, professor of Computer Science (now Biomolecular Engineering) at the University of California, Santa Cruz in 2000, the UCSC Genome Browser began as a resource for the distribution of the initial fruits of the Human Genome Project. Funded by the Howard Hughes Medical Institute and the National Human Genome Research Institute, NHGRI (one of the US National Institutes of Health), the browser offered a graphical display of the first full-chromosome draft assembly of human genome sequence. Today the browser is used by geneticists, molecular biologists and physicians as well as students and teachers of evolution for access to genomic information.[5]
Genomes
In the years since its inception, the UCSC Browser has expanded to accommodate genome sequences of all vertebrate species and selected invertebrates for which high-coverage genomic sequences is available,[6] now including 108 species. High coverage is necessary to allow overlap to guide the construction of larger contiguous regions. Genomic sequences with less coverage are included in multiple-alignment tracks on some browsers, but the fragmented nature of these assemblies does not make them suitable for building full featured browsers. (more below on multiple-alignment tracks). The species hosted with full-featured genome browsers are shown in the table.[7]
Apart from these 108 species and their assemblies, the UCSC Genome Browser also offers Assembly Hubs, web-accessible directories of genomic data that can be viewed on the browser and include assemblies that are not hosted natively on it. There, users can load and annotate unique assemblies for which UCSC does not provide an annotation database. A full list of species and their assemblies can be viewed in the GenArk Portal, including 2,589 assemblies hosted by both UCSC Genome Browser database and Assembly Hubs. An example can be seen in the Vertebrate Genomes Project assembly hub.
Browser functionality
The large amount of data about biological systems that is accumulating in the literature makes it necessary to collect and digest information using the tools of bioinformatics. The UCSC Genome Browser presents a diverse collection of annotation datasets (known as "tracks" and presented graphically), including mRNA alignments, mappings of DNA repeat elements, gene predictions, gene-expression data, disease-association data (representing the relationships of genes to diseases), and mappings of commercially available gene chips (e.g., Illumina and Agilent). The basic paradigm of display is to show the genome sequence in the horizontal dimension, and show graphical representations of the locations of the mRNAs, gene predictions, etc. Blocks of color along the coordinate axis show the locations of the alignments of the various data types. The ability to show this large variety of data types on a single coordinate axis makes the browser a handy tool for the vertical integration of the data.[8]
To find a specific gene or genomic region, the user may type in the gene name, a DNA sequence, an accession number for an RNA, the name of a genomic cytological band (e.g., 20p13 for band 13 on the short arm of chr20) or a chromosomal position (chr17:38,450,000-38,531,000 for the region around the gene BRCA1).
Presenting the data in the graphical format allows the browser to present link access to detailed information about any of the annotations. The gene details page of the UCSC Genes track provides a large number of links to more specific information about the gene at many other data resources, such as Online Mendelian Inheritance in Man (OMIM) and SwissProt.
Designed for the presentation of complex and voluminous data, the UCSC Browser is optimized for speed. By pre-aligning millions of RNA secuences from GenBank to each of the 244 genome assemblies (many of the 108 species have more than one assembly), the browser allows instant access to the alignments of any RNA to any of the hosted species.
The juxtaposition of the many types of data allow researchers to display exactly the combination of data that will answer specific questions. A pdf/postscript output functionality allows export of a camera-ready image for publication in academic journals.
One unique and useful feature that distinguishes the UCSC Browser from other genome browsers is the continuously variable nature of the display. Sequence of any size can be displayed, from a single DNA base up to the entire chromosome (human chr1 = 245 million bases, Mb) with full annotation tracks. Researchers can display a single gene, a single exon, or an entire chromosome band, showing dozens or hundreds of genes and any combination of the many annotations. A convenient drag-and-zoom feature allows the user to choose any region in the genome image and expand it to occupy the full screen.
Researchers may also use the browser to display their own data via the Custom Tracks tool. This feature allows users to upload a file of their own data and view the data in the context of the reference genome assembly. Users may also use the data hosted by UCSC, creating subsets of the data of their choosing with the Table Browser tool (such as only the SNPs that change the amino acid sequence of a protein) and display this specific subset of the data in the browser as a Custom Track.
Any browser view created by a user, including those containing Custom Tracks, may be shared with other users via the Saved Sessions tool.
Tracks
Below the displayed images of the UCSC Genome browser are eleven categories of additional tracks that can be selected and displayed alongside the original data. Researchers can select tracks which best represent their query to allow for more applicable data to be displayed depending on the type and depth of research being done. These categories are as follows:
| Category | Description | Examples of tracks |
|---|---|---|
| Mapping and Sequencing | It allows control over the style of sequencing displayed (e.g., genomic coordinates, sequences, gaps etc.). It can also display a percentage based track to show a researcher if a particular genetic element is more prevalent in the specified area. | Base Position. Mappability, Gap |
| Genes and Gene Predictions | It offers programs to predict genes and which databases to display known genes from. The different tracks allow the user to display gene models, protein coding regions, non-coding RNA etc. Users can quickly compare their query with pre-selected sets of genes to look for correlations between known sets of genes. | GENCODE v24, Geneid Genes, Pfam in UCSC Gene |
| Phenotype and Literature | Databases containing specific styles of phenotype data. These tracks are intended for use primarily by physicians and other professionals concerned with genetic disorders (e.g., genetics researchers, students in science and medicine). Users can display a track that shows the genomic positions of natural and artificial amino acid variants. | OMIM Alleles, Cancer Gene Expr Super-track |
| COVID-19 | It shows data from Genome-Wide Association Studies (GWAS) and variant calling experiments to identify genetic variants associated with severity and susceptibility to COVID-19 disease. | COVID GWAS v3, COVID GWAS v4, Rare Harmful Vars |
| Single Cell RNA-Seq | It offers RNA expression data at single cell level (scRNA-Seq) from different human tissues (e.g., kidney, colon, heart, muscle, placenta, peripheral blood mononuclear cells etc.) | Blood (PBMC), Heart Cell Atlas, Colon Wang |
| mRNA and EST | It shows Expressed Sequence Tags (ESTs) and messenger RNA. ESTs are single-read sequences, typically about 500 bases in length, that usually represent fragments of transcribed genes. The mRNA tracks allow the display of mRNA alignment data in Humans, as well as, other species. There are also tracks allowing comparison with regions of ESTs that show signs of splicing when aligned with the genome. | Human ESTs, Other ESTs, Other mRNAs |
| Expression | It offers genetic data and related gene expression in tissue areas. This allows users to discover if a particular gene or sequence is linked with various tissues throughout the body. The expression tracks also allow for displays of consensus data about the tissues that express the query region. | GTEx Gene, Affy U133 |
| Regulation | Information relevant to regulation of transcription from different studies. Users can adjust the regulation tracks to add a display graph to the genome browser. These displays allow for more detail about regulatory regions, transcription factor binding sites, RNA binding sites, regulatory variants, haplotypes, and other regulatory elements. | ENCODE Regulation Super-track Settings, ORegAnno |
| Comparative Genomics | It shows sequences conservation data, including primates, vertebrates, mammals among others. The comparative alignments give a graphical view of the evolutionary relationships among species. This makes it a useful tool both for the researcher, who can visualize regions of conservation among a group of species and make predictions about functional elements in unknown DNA regions, and in the classroom as a tool to illustrate one of the most compelling arguments for the evolution of species. The Conservation track on the human assembly clearly shows that the farther one goes back in evolutionary time (this track includes 100 species), the less sequence homology remains, but functionally important regions of the genome (e.g., exons and control elements, but not introns typically) are conserved much farther back in evolutionary time. | Conservation, Cactus 241-way, Cons 30 Primates |
| Variation | It compares the searched sequence with known variations. For example, the entire contents of each release of the dbSNP database from NCBI are mapped to human, mouse and other genomes. This includes the fruits of the 1000 Genomes Project, as soon as they are released in dbSNP. Other types of variation data include copy-number variation data (CNV) and human population allele frequencies from the HapMap project. | Common SNPs(150), All SNPs(146), Flagged SNPs(144) |
| Repeats | Allows tracking of different kinds of repeated sequences in the query. Users can quickly see if their specified search contains large amounts of repeated sequences at a glance and adjust their search or track displays accordingly. | RepeatMasker, Microsatellite, WM + SDust |
Analysis tools
The UCSC site hosts a set of genome analysis tools, including a full-featured GUI interface for mining the information in the browser database, a FASTA format sequence alignment tool BLAT[9] that is also useful for simply finding sequences in the massive sequence (human genome = 3.23 billion bases [Gb]) of any of the featured genomes.
A liftOver tool uses whole-genome alignments to allow conversion of sequences from one assembly to another or between species. The Genome Graphs tool allows users to view all chromosomes at once and display the results of genome-wide association studies (GWAS). The Gene Sorter displays genes grouped by parameters not linked to genome location, such as expression pattern in tissues.
Open source / mirrors
The UCSC Browser code base is open-source for non-commercial use, and is mirrored locally by many research groups, allowing private display of data in the context of the public data. The UCSC Browser is mirrored at several locations worldwide, as shown in the table.
| Official mirror sites |
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| European mirror — maintained by UCSC at University of Bielefeld, Germany |
| Asian mirror — maintained by UCSC at RIKEN, Yokohama, Japan |
The Browser code is also used in separate installations by the UCSC Malaria Genome Browser and the Archaea Browser.
See also
- Ensembl
- ENCODE
- List of biological databases
References
- ↑ Navarro Gonzalez, J; Zweig, AS; Speir, ML; Schmelter, D; Rosenbloom, KR; Raney, BJ; Powell, CC; Nassar, LR et al. (8 January 2021). "The UCSC Genome Browser database: 2021 update.". Nucleic Acids Research 49 (D1): D1046–D1057. doi:10.1093/nar/gkaa1070. ISSN 0305-1048. PMID 33221922.
- ↑ "The UCSC Genome Browser database: update 2011". Nucleic Acids Res. 39 (Database issue): D876-82. Jan 2011. doi:10.1093/nar/gkq963. PMID 20959295.
- ↑ "The human genome browser at UCSC". Genome Res. 12 (6): 996–1006. June 2002. doi:10.1101/gr.229102. PMID 12045153. PMC 186604. http://genome.cshlp.org/content/12/6/996.abstract.
- ↑ Kuhn, R. M.; Karolchik, D.; Zweig, A. S.; Wang, T.; Smith, K. E.; Rosenbloom, K. R.; Rhead, B.; Raney, B. J. et al. (2009-01-01). "The UCSC Genome Browser Database: update 2009" (in en). Nucleic Acids Research 37 (Database): D755–D761. doi:10.1093/nar/gkn875. ISSN 0305-1048. PMID 18996895.
- ↑ "History | Genomics Institute". https://genomics.ucsc.edu/about/history/.
- ↑ "High-coverage" here means 6x coverage, or six times more total sequence than the size of the genome.
- ↑ "UCSC Genome Browser: Acknowledgments". https://genome.ucsc.edu/goldenPath/credits.html.
- ↑ Navarro Gonzalez, Jairo; Zweig, Ann S.; Speir, Matthew L.; Schmelter, Daniel; Rosenbloom, Kate R.; Raney, Brian J.; Powell, Conner C.; Nassar, Luis R. et al. (2021-01-08). "The UCSC Genome Browser database: 2021 update". Nucleic Acids Research 49 (D1): D1046–D1057. doi:10.1093/nar/gkaa1070. ISSN 1362-4962. PMID 33221922.
- ↑ Kent, WJ. (Apr 2002). "BLAT - the BLAST-like alignment tool". Genome Res 12 (4): 656–64. doi:10.1101/gr.229202. PMID 11932250. PMC 187518. http://genome.cshlp.org/content/12/4/656.abstract.
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