| PubMed | Nucleotide | Protein | Genome | Structure | Taxonomy |
| Rattus norvegicus - laboratory rat genome data and search tips | Revised July 5, 2006 |
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The Map Viewer help document describes how to use the Map Viewer software. This page describes the data available for Rattus norvegicus (rat), and the search tips specific to that organism. You can also return to the Rattus norvegicus genome view search page. The Map Viewer home page allows you to search the genome data of any organism represented in MapViewer. |
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The NCBI Map Viewer integrates rat sequence and map data from several sources. The types of maps include sequence, cytogenetic, genetic linkage, and radiation hybrid, described below. Maps are integrated with each other, as noted in the Show Connections section of the general Map Viewer help document.
| Rat Genomic Sequence Data |
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The sequence maps show data for two genome assemblies currently available for rat:
Additional details are provided in the description of the Assembly map, below. |
| Rat BLAST Databases |
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| The complete set of rat sequence databases available for BLAST searching is shown in the pop-up menu on the rat BLAST page, which includes a link to the database descriptions. |
| Additional Rat Genome Resources |
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| In addition to the rat data available in the Map Viewer and through BLAST, links to NCBI resources and external sites are available from the Rat Genome Resources page. |
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The maps available for rat include:
| Cytogenetic Maps |
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| Ideogram | G banding patterns of rat chromosomes as described by Levan (1974). |
| Sequence Maps |
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| Ab Initio | Shows models generated by Gnomon. mRNA alignments were used to segment the genomic sequence by putative gene boundaries, and Gnomon was executed on these segments to predict genes. Gnomon uses protein alignments in addition to transcript alignments and, in order to capture as much coding information in the genome as possible in this assembly, Gnomon models may represent partial as well as complete coding sequences. Models with a completely supported CDS are blue, models with a partially supported CDS are green, and the pure ab initio predictions are brown. Pure ab initio status indicates that the model was built without the support of mRNA or protein alignments, either through failure to align the sequence to the genome or an alignment ignored by Gnomon due to a score falling below a pre-determined threshold. Gnomon models are also included in the Gene_Sequence map in regions where confirmed models have not yet been identified. |
| Assembly | Allows users to visualize all sequence data available for a given region of the genome, and separates the data by assembly. There are currently two assemblies available for rat:
When viewing the Assembly map, a blue vertical line indicates the assembly that is being viewed. The reference assembly is shown as the blue line by default. The orange vertical line shows a region of the genome where sequence data from other assemblies is available. By default, the other sequence maps that are available for an organism display features that have been annotated on the reference assembly. The Maps&Options dialog box allow you to change the assembly being displayed in the Assembly map and any other sequence maps. Instructions on how to do this are provided in the Select One or More Assemblies to Display section of the general Map Viewer help document. |
| BES_Clone | Shows alignment of BAC end sequences to the assembled genomic sequence. BAC end sequences were generated by TIGR
(http://www.tigr.org/tdb/bac_ends/rat/bac_end_intro.html). During the alignment process, at least 50% of the BAC end had to align to the genome with >96% identity. All hits with the best bit score were kept. For example, if a BAC end sequence hit two places on the genome with the same high bit score, both of those hits are shown. Various colors are used in the graphic display to show (1) the quality of alignment of a BAC end to the assembled genomic sequence (e.g., does the BAC end hit the genome uniquely, does it contain repetitive sequence?), and (2) the relationship between two BAC ends (e.g., are they at the expected orientation and distance from each other, are they on different chromosomes, or is a virtual relationship estimated between a BAC end that has been sequenced, and its unsequenced mate pair?). The examples below provide more detail. When the BES_Clone map is displayed as the master map (described in the main Map Viewer help document), the values shown in the "end1" and "end2" columns provide the accession numbers of the sequence records for those ends, which were deposited into dbGSS.![]() ![]()
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| Component | Provides the tiling path of GenBank AABRxxxxxxxx and finished BAC accessions used to build the NW_xxxxxx contigs of the reference assembly, or the AAHXxxxxxxxx accessions used to build the NW_xxxxxx contigs of the Celera assembly. The Contig map shows the genomic contigs assembled from these components. |
| Contig | Shows the chromosomal placement of NW_xxxxxx contigs on the assembled genome sequence. Individual GenBank records used to assemble the contigs are shown on the Component map, described above. |
| CpG Island | Shows regions of high G + C content on the assembled genome sequence. Two sets of criteria were used for finding CpG islands: "strict" and "relaxed," described below. The algorithm (and cutoffs) were taken from Takai and Jones, 2002.
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| GenBank DNA | Shows the placement of rat genomic DNA sequences from GenBank that were not used in the assembly of contigs. Placement is based on the alignment of the sequences to the components of the contigs. It includes rat genomic sequences longer than 500 bp that have at least 97% identity to the components for at least 98 base pairs. If a sequence extends beyond a contig, that portion of sequence is not shown. The 'hits' link leads to a tabular display that shows the matching regions (base spans) of the assembly component and the GenBank genomic DNA record that has been aligned to it. The length of a line represents the upper- and lower-most points on the genome assembly to which sequence fragments from a single GenBank record were aligned. When the GenBank_DNA map is displayed as the master map, in the default verbose mode, the descriptive text includes several columns: Total Bases, which shows the total number of bases in the GenBank record; Aligned Bases, which shows the total number of bases from that record that were aligned to the genome; % identity for the alignment; % coverage, which shows how much of the Genbank record aligned to the genome as a percentage; Alignment-length ratio, which is the ratio of the alignment length in the genome to the alignment length of the Genbank record; and Strain from which the Genbank record was derived, when available. |
| Genes_Sequence | Shows genes that have been annotated on the genomic contigs. This includes known and putative genes placed as a result of alignments of mRNAs to the contigs. If multiple models exist for a single gene, corresponding to splicing variants, the Genes map presents a flattened view of all the exons that can be spliced together in various ways. For example, if one splice variant uses exons 1, 3, 4, and another splice variant uses exons 2, 3, 4, the Genes map shows exons 1, 2, 3, 4. (In comparison, the GenBank RNA maps shows what combinations of exons are valid based on mRNA sequences from RefSeq and GenBank.) Genes shown on the left of the grey line are transcribed in the - orientation (from bottom up), and those on the right in the + orientation (from top down). When "Gene_Sequence" is selected as the Master map, the verbose display (detailed labeling, shown by default) includes arrows to the right of each gene name indicate its direction of transcription as well as links to:
Gene models are shown in five colors, depending on the type of evidence that was used to construct the models. The one or two letter code shown in the evidence column (that is displayed when Gene_Sequence is the master map) also indicates the type of evidence. |
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Additional Notes: In general, a gene model is shown in blue if there is a clean alignment between a RefSeq or GenBank mRNA sequence and the genomic sequence, and if there is an exact match between the protein product that was annotated in the mRNA sequence record and the conceptual translation of the genomic sequence gene model. A gene model is shown in orange if there is some discrepancy between the mRNA sequence and the gene model, either in the alignment of the two and/or in their protein products. Examples of the former can include gaps, or the alignment of an mRNA to two or more genomic regions. Examples of the latter can include differences between the amino acid sequence given in an mRNA sequence record and the conceptual translation of the corresponding gene model, or premature termination of a coding region in the genomic sequence. Both of those can be caused by base pair mismatches between the mRNA and genomic sequence. Models with Interim LocusIDs (LOC######, evidence code I) may be paralogs, genes not yet curated, duplications because of assembly errors, or pseudogenes. The genome assembly and annotation pipeline assigns interim IDs when there is no unambiguous solution to what they should be. Interim LocusIDs are always associated with a RefSeq XM_* accessions (model mRNAs), although supporting alignments may (or may not) include RefSeq NM_* accessions (known mRNAs). More about RefSeq and RefSeq accessions can be found at the RefSeq homepage. |
| Phenotype | Map of Quantitative Trait Loci (QTL). QTL data are obtained from Rat Genome Database (RGD), and are represented by one peak marker and/or two flanking markers. The QTL is placed on the genome based on the position of these markers. |
| RefSeq Transcripts | Shows diagrams of the RNAs that are predicted on the genomic contigs. The Transcript map and Gene_Sequence map are built in the same way, using the same types of evidence, described above. However, the Gene map shows a view of all the exons in a gene, while the Transcript map shows the combinations of exons (i.e., splice variants) that are valid, based on mRNA sequences. |
| Repeats | Shows the position of repetitive elements
The May, 2002 version of RepeatMasker was executed using these flags:
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| GenBank RNA | Alignment of mRNAs and ESTs from a given organism to the assembled rat genomic sequence. Only mRNAs and ESTs supplied with orientation are used and each alignment is the single best placement for that sequence in the current build of the rat genome. The corresponding alignment of mRNA and EST clusters is shown in the UniGene maps, described above.
The RNA maps include:
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| STS | Shows the placement of STSs from a variety of souces onto the assembled genomic sequence (the NW_xxxxxx contigs, described above) using Electronic-PCR (e-PCR). |
| UniGene Maps | Shows the alignment of EST clusters from a given organism to the assembled rat genomic sequence. ESTs are clustered based on shared introns and alignment to a common position on the genome. Those ESTs can come from one or more UniGene clusters, whose IDs are noted by the EST cluster. (UniGene clusters are made with a different build procedure, so there is not necessarily a one-to-one correspondence between EST clusters on the UniGene maps and clusters in the UniGene resource.) The UniGene maps include:
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| Genetic Linkage Maps |
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| FHH x ACI | This rat linkage map, obtained from RGD, was described originally by Steen et al., (1999). The map was constructed using the F2 intercross of FHH x ACI, contains 2083 simple sequence length polymorphism (SSLP) markers, and totals 1527 cM in length. |
| SHRSP x BN | This rat linkage map, obtained from RGD, was described originally by Steen et al., (1999). The map was constructed using the F2 intercross of SHRSP x BN, contains 3824 SSLP markers, and totals 1477 cM in length. |
| Radiation Hybrid Maps |
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| MCW RH | This radiation hybrid map, obtained from RGD, was described originally by Kwitek et al., (2004). Using the T55 mapping panel, the map consists of 1265 framework SSLP markers common to the genetic linkage maps and an additional 23,172 EST, gene, and SSLP markers placed in relation to the framework markers. Map resolution is estimated at 9cR3000 per Mb. |
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| Searchable Terms |
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| Text terms |
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Rat data are searchable with the following types of terms:
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| Map Positions |
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As noted in the Search By Position section of the Entrez Map Viewer general help document, there are three main ways to search by map position from the Map View of a chromosome:
Additional Notes About Searching by Region and Zooming: In general, the range search function for rat only works on the master map (described in the main MapViewer Help document), and any other maps in your window that share the same coordinate system. Maps that use another coordinate system will continue to show the complete chromosome. For example, say a display shows the following maps from left to right: the FHH x ACI and SHRSP x BN genetic linkage maps, and the Component, Contig, and STS sequence maps. STS is the master map because it is right-most. If you enter numerical values in the Region boxes of the blue sidebar, they will be interpreted as base pairs, since the STS map is a sequence map. All of the sequence maps will then display the desired region, but the genetic linkage maps will continue to display the complete chromosome because they use a different coordinate system. Also, if you use the Zoom function on a particular map (i.e., click on the map graphic and select the desired zoom level using the pop-up menu), it will zoom in only on that map and any other map(s) that use the same coordinate system. Maps that use a different coordinate system will continue to show the complete chromosome. There are some exceptions to the above situations, which occur when two or more different maps sharing some of the same markers are displayed beside each other. In these cases, Map Viewer can make connections between the maps (as explained in the show connections section of the main Map Viewer Help document). This also allows Map Viewer to display corresponding regions of maps using different coordinate systems. |
| General Tips |
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| As mentioned in the Searchable terms section, any term entered in the query box will be treated as an independent entity to be joined by the 'AND' Boolean operator. It is also possible to construct more complex queries by using explicit Boolean ooperators (AND, OR, NOT), field restriction, or limiting retrieval to records that have certain properties. Finally, an Advanced Search page available in the header of the genome view page allows you to use a number of query options simply by checking boxes and/or radio buttons. |
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If you would like to create WWW links to the Map Viewer, the instructions for constructing URLs are given in the general Map Viewer Help document. You can construct URLs that either perform a search or display a specific mapped object or chromosomal region. For example:
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Questions or Comments? Write to the NCBI Service Desk |