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What styles are available for the data tracks in views like Region in Detail?

To view data along a genomic region, you can choose from different styles using the 'Configure this page' menu in the Region in Detail view. You can also hover over the track names and then the tool icon to view the style options for data which is already displayed.

Some tracks will only give you the option to turn them on or off (such as %GC, Contigs, and Structural variants). However, other data types give you more options.

The genes, such as Merged Ensembl and Havana genes can be drawn as follows:

  • No exon structure without labels - All transcripts are merged into a solid block with no differentiation between exons and introns
  • No exon structure with labels - Same as above, with the gene name written under the block.
  • Expanded with labels - The standard, default expanded view. Individual transcripts are shown aligned to the genome, with exons and introns clearly marked, and the transcript name written below.
  • Expanded without labels - As above, with no names below the transcript (click on a transcript for more information).
  • Collapsed - One representative 'gene' is shown as one diagram with all possible exons represented, rather than individual transcripts.
  • Coding transcripts only - No non-coding transcripts are shown in the track.

Other data, such as Expressed Sequence Tags (the Human EST track, for example) can be drawn as:

  • Normal - The standard, expanded format, showing a maximum of 7 ESTs aligned against the genome with no names or IDs (click on the image to see the name or ID).
  • Labels - As 'Normal', with labels added underneath each EST alignment.
  • Half height - A maximum of 7 ESTs are drawn, showing each alignment with a thinner bar than 'Normal'.
  • Stacked - The ESTs are shown very thin, and the differentiation between each one is lost.
  • Stacked unlimited - All ESTs in the region are shown (rather than 7).
  • Ungrouped - EST ends will not be connected. Only the ends will be shown, aligned to the genome.

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