Hematologic Disease Portal – Tools

Data Mining and Analysis:

  • OLGA  The Object List Generator and Analyzer tool, is a straightforward list builder for rat, human and mouse genes or QTLs, or rat strains. Select one or more ways to query, such as by genomic positions or functional annotations, or enter a list of symbols, then choose how you want to use the output. The tool has options to download the list and/or send it to other RGD tools for analysis.
  • Gene Annotator RGD’s Gene Annotator takes a list of gene symbols, RGD IDs, GenBank accession numbers, Ensembl identifiers, and/or a chromosomal region, and retrieves annotation data from RGD.  The tool will retrieve annotations from any or all ontologies used at RGD for genes and their orthologs, as well as links to additional information at other databases.  To explore a specific list of genes from this portal, simply select term(s) of interest, copy the gene symbols from the “Genes Info” box on the portal page and paste them into the entry box in the GA Tool.
  • RatMine RatMine integrates data from RGD, UniProtKB, Ensembl, NCBI, PubMed and KEGG to form a web-based data warehousing, mining and analysis tool tailored to the needs of rat researchers. Datasets derived from querying this data or from uploading the user’s own data can be saved, manipulated and/or downloaded for use in other applications.  For convenience, a list of genes for each RGD Disease Portal is available in RatMine.  Click here to view all of RatMine’s public lists.
  • PhenoMiner RGD’s PhenoMiner is a powerful and flexible tool with which to select rat strains, experimental conditions, measurement methods and phenotypes in order to focus in on the results which are of the most interest and utility to the user, and to compare results across multiple experiments.  Unlike other methods which only compare terms, PhenoMiner allows researchers to view and download specific numerical data for phenotypes.
  • Variant Visualizer The Variant Visualizer is a viewing and analysis tool for rat strain-specific sequence polymorphisms.  The data currently include 22 rat strains sequenced by 4 independent labs.  Select strains of interest, define one or more genomic regions and, if desired, set parameters for the type(s) of variants of interest and the tool will return all of the SNPs which match the input criteria, including in many cases information on read depth, zygosity, conservation score and more.


Genome Browsers:

  • Rat JBrowse Genome Browser In addition to the typical gene tracks, RGD’s Genome Browsers (JBrowse and the legacy GBrowse) provide QTL and SNP tracks, RGD Congenic Strain tracks, Strain-specific variant tracks and more to facilitate the search for candidate variations that might be linked to a disease or phenotype.  In addition to the default Rat JBrowse displaying the Rno5.0 assembly, RGD has browsers for the Rnor 3.4 assembly and the Rnor 6.0 assembly, as well as a Human JBrowse and a Mouse JBrowse.  Browsers include synteny tracks and inter-browser links which allow researchers to compare syntenic regions between the two species.  All these browsers also feature specific tracks for disease-related data, such as the Diseases of the Aged track, which utilize RGD’s extensive Disease Ontology annotations to present genes, QTLs and/or strains with demonstrated associations to a particular disease category.
  • Genome Viewer Gviewer provides users with a complete genome view of genes and QTLs annotated to a function, biological process, cellular component, phenotype, disease, or pathway.
  • VCMap  The Virtual Comparative Map tool allows users to compare genomic regions, genes and QTLs across six different species:  rat, mouse, human, cow, pig and chicken.
  • UCSC Browser
  • Ensembl Browser
  • NCBI MapViewer


Ontology Analysis Tools:

  • GOMiner GoMiner leverages the Gene Ontology to identify the biological processes, functions and components represented in these lists. Instead of analyzing microarray results with a gene-by-gene approach, GoMiner classifies the genes into biologically coherent categories and assesses these categories. The insights gained through GoMiner can generate hypotheses to guide additional research.
  • Onto-ExpressOnto-CompareOnto-Design,  Onto-Translate OE constructs functional profiles (using Gene Ontology terms) for the following categories: biochemical function, biological process, cellular role, cellular component, molecular function and chromosome location. Statistical significance values are calculated for each category. Additional tools are provided for microarray data storing and analysis.
  • DAVID Bioinformatics Resources  The Database for Annotation, Visualization and Integrated Discovery (DAVID) provides a “comprehensive set of functional annotation tools for investigators to understand biological meaning behind a large list of genes”.  By uploading up to 3000 gene identifiers (e.g. IDs from RGD, Entrez Gene, Ensembl, Affymetrix, Agilent, etc) users can leverage the “numerous public sources of protein and gene annotations [which] have been parsed and integrated into DAVID” to analyze the functional annotations, pathway and disease associations, gene similarity and functional categories of their genes of interest.

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