Partek Flow Documentation

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Cytoband Track

By default, the Chromosome view shows a cytoband track at the top of the canvas. If a cytoband file for your genome has not been added to Partek Flow, a warning will appear (Figure 30). In that case, go to the Library File Management page and download or create a cytoband file.

 

Figure 1. Warning message indicating that Chromosome view can not be launched because of missing cytoband file

The red box (Figure 31) indicates the part of the chromosome that is currently depicted on the canvas.

 

Figure 2. Cytoband track: highlighted part is currently depicted on the canvas (an example is shown)
Reference Genome

The sequence of the reference genome is added to the Chromosome view by default, as long as it has been added to the respective genome on the Library File Management page. However, its presence (or absence) in the viewer depends on the current magnification. At low power, the track is hidden and you will see the message - Track hidden (zoom to view). At high power, on the other hand, the Reference genome track becomes visible (Figure 32) and is supplemented by the genomic coordinates (below the sequence). A vertical guide helps you to align the bases between Aligned reads and Reference genome tracks. Depending on the reference genome file, some bases may be shown in lowercase letters, symbolizing repetitive sequences, or other sequences masked by a tool such as RepeatMasker.

 

 

Figure 3. Reference genome track. Numbers beneath the sequence are coordinates
Variant Database


If a variant database file (such as dbSNP) for your genome is present on the Library File Management page, you will be able to include variant annotation track in your visualization (to add a variant database to the viewer, use the control panel on the right).

The variants will be shown adjacent to the Reference genome track (Figure 33). If the database contains no frequency information on alternative alleles, the alleles will be drawn as bars (an example is the SNP on the left in Figure 33). If the frequency information is available, the relative frequency of each variant will be represented by a column (the SNP on the right in Figure 33).

 

Figure 4. Reference genome track with added variant annotation: single nucleotide variants present in the chosen database are depicted as bars (if no frequency information is available) or columns (columns reflect relative frequency of each alternative allele as stored in the database)

Note that the frequency information for each allele will be parsed out from the chosen database. That information can be retrieved by selecting a variant using the selection mode and will be shown in the Selection details section of the control panel. Using the example shown in Figure 33, the details of the left database variant can be seen in Figure 34. The most frequent allele at that locus is G (hence, yellow column is plotted above the Reference genome track), which matches the base call of the reference genome.

 

Figure 5. Selection details section of the control panel showing details of a SNV, as present in the selected database

If your variant database stores indels, they will be depicted using green (insertion) or red (deletion) symbols (Figure 35) pointing to deleted bases.

 

Figure 6. Reference genome track with added variant annotation: insertions are shown in green, deletions in red. In this example, an insertion of a single base has described in the database, between G and T. An adjacent deletion of T and C bases has also been seen before

Other Annotation Tracks

Additional annotation tracks can be added to the viewer with the help of the Select tracks dialog (Figure 14) as long as they have been associated with the genome you are working on in the Library File Management.

A common choice of an additional track is a transcript database, such as RefSeq (Figure 36). All the database entries are displayed, using common depiction of exons as boxes and introns as lines connecting them. Untranslated regions (UTRs) are seen as narrow boxes. The arrows indicate directionality.

 

Figure 7. Transcript database track: a gene with two transcripts is shown as an example. Exons are plotted as boxes and introns as lines connecting them. Untranslated regions (UTRs) are seen as narrow boxes. The arrows indicate directionality

Customizing the View

Controls

Chromosome view can be customized by using the control panel on the left (Figure 37). The Attribute and Order By controls show options depending on the current project, while the content of the Annotate amino acids control depends on the annotation files associated with the current genome build in the Library File Management. In order for any change to take place, push the Apply button.

 

Figure 8. Control panel (an example is shown)

Group data by

The first option, Group data by, specifies the number of Alignments tracks (Figure 38). All will result in only one track, with all the samples on it. Sample creates one track per sample, while Attribute produces one Alignments track per level of the Attribute (i.e. one track per group). 

 

All

Sample

Attribute

Figure 9. Group data by: All creates one Alignments track for the entire project, Sample creates one Alignments track for each sample, Attribute creates one Alignments track for each group (an example is shown)

Annotate amino acids by

Annotate amino acids by controls the appearance of the Amino acids track and allows you to pick the transcript database that will be used to plot codons (Figure 39). The drop down list shows the databases currently available for the selected genome (additional databases can be added via Library File Management). 

 

Figure 10. Annotate amino acids by: transcript models currently associated with the chosen genome are displayed in the drop-down list and can be used to plot Amino acids track (an example is shown)

Color by

Color by option affects the colouring of the Alignments track and Isoform proportion track. When Sample is selected from the drop-down list, individual samples will be shown on the aforementioned tracks, each sample being given a different colour. If attributes were assigned to samples, they will also be visible in the Color by drop-down (Figure 40) and you will be able to highlight levels of the selected attribute (Figure 41).

 

Figure 11. Color by: the options control colouring of Alignments and Isoform proportion tracks. Sample, Base, and Match options are present by default. If attributes have been assigned to samples, they will appear in the drop-down list. In this example, that is the "Tissue" attribute

Color by Sample

Color by <Attribute>

Figure 12. Difference between Color by Sample and Color by . Color by Sample uses different colours to depict individual samples; Color by uses different colours to depict levels of the selected sample attribute (as present in the Data tab). Alignments and Isoform proportion tracks are shown (an example)

The effect of the option to Color by Base can be seen with high power magnification (Figure 42). Individual base calls are highlighted by different colours. When that option is chosen at low power magnification, all the bases are shown in grey.

 

Figure 13. Color by Base highlights the base calls by colours. Different colours are visible with high power magnification; otherwise all the bases are shown in gray (an example)

Finally, Color by Match can be used to quickly identify mismatches against the reference genome. A matching base is coloured in blue, while mismatch bases are shown in yellow. 

 

Read histogram Y-axis scales

The maximum of the y-axis of Alignments tracks is set by Read histogram Y axis scales option (Figure 43). When using Independent, the y-axis for each track is set individually, based on the maximum within that sample. On the other hand, Linked uses the maximum across all the samples and uses that value as the maximum for all. 

 

Independent

Linked

Figure 14. Read histogram Y axis scales. When set to Linked, all the tracks have the same Y axis maximum, which depends on the sample with the highest coverage. Using Independent sets Y axis maximum independently for each sample.

Read histogram type

Read histogram type changes the presentation of the Alignments track and should be used in conjunction with the Group data by and Color by tracks to get the desired visualisation.

When set to Sum, the Read histogram type shows the sum of base calls at each position, i.e. total coverage per position. Figure 44 shows an Alignments track with three samples. With the Sum option, number of reads at each base in each sample is added and displayed. Contribution of individual samples is not visible, since the track is Colored by Group (but that would make sense in this example).

Figure 15. Alignments track: total coverage per locus is shown by using "Read histogram type" set to "Sum" and "Group data by" set to

To show average coverage per locus, switch Read histogram type to Average and leave Color by as is (i.e. by group) (Figure 45). With this setting, Chromosome view will calculate the average by dividing the total coverage per locus by the number of samples. Note that using Color by Sample would not make sense here. Although Figure 44 looks quite like Figure 43, the y-axis range is different.

 

Figure 16. Alignments track: average coverage per locus is shown by using "Read histogram type" set to "Average", "Group data by" set to "Attribute", and "Color by" set to

Finally, the option Overlay is useful if you want to directly compare base counts over several samples (or groups) as each will be represented by a line (i.e. no stacking). Example in Figure 46 is based on microarray data, showing three groups on the same Alignments track. The red group has the highest base counts, while the counts in the blue group are much lower.

 

Figure 17. Alignments track: coverage per locus is shown by using "Read histogram type" set to "Overlay". Each plot is a single experimental condition ("Group data by" set to "Attribute", "Color by" set to ). Lines are rectangular since microarray data is used (an example)

Transcript label

You can use the Transcript label selector to specify labels on the reference transcript track and Isoform proportion track (Figure 47).

 

Transcript label: Gene

Transcript label: Transcript

Figure 18. ranscript label: setting the control to Gene shows only gene label, while Transcript shows transcript labels. Both transcript database and Isoform proportion tracks are affected Short sequencing reads can be coloured by strand (Reads pileup color: Strand) or by base (Reads pileup color: Base). Both options are illustrated in Figure 48.

Reads pileup and probe color 

 

Reads pileup color: Strand
 

Reads pileup color: Base

Figure 19. Reads pileup color: colouring of the short sequencing reads by Strand or by Base

Probe color control customizes the appearance of Probe intensities track (Figure 49). When set to Intensity, colour of a probe reflects its intensity, using a colour gradient from white (low) to admiral (high). Alternatively, when Strand is turned on, probes on the reverse strand are in parakeet green, while probe on the forward strand are in sky blue.

 

Probe color: Intensity

Probe color: Strand
Figure 20. Probe color: "intensities" colors probes proportionally to their intensity, "strand" uses colors to indicate probe positioning (an example is shown)

If a variant database is available for the current genome, the variants can be added to the Reference genome track (Figure 33). To show the variants, point the Variant database control to the database of your choice.


To change any of the colours on the canvas, use the Customize track colors tool. A resulting dialog will help you to pick another color (drop-down button opens the colour-picker) (Figure 50).

 

Figure 21. Customize colors dialog: selecting a drop-down arrow opens the color-picker tool

Track Order

The position of the tracks on canvas can be controlled by using the Track order tool. If you want a track to be visible all the time, i.e. while scrolling up or down, pin it to the top or to the bottom. Figure 51 shows Cytoband track pinnned to the top of the canvas and Reference genome track pinned to the bottom of the canvas. To unpin a track, click on the pin icon ( ). The track will be unpinned and a message No tracks are pinnned to the top / bottom will appear. To pin a track, drag the track name to the No tracks… message. Alternatively, you can use the green arrows ( ) to pin a track. When you mouse over an arrow, the new position of the track will be highlighted on the canvas; click on the arrow to accept.

A track can be hidden (meaning it will not be visible) by selecting the red minus, or unhidden by selecting the green plus icon.


The tracks can be reordered by drag and drop.

 

Figure 22. Track order tool: To change the position of a track drag and drop to the new position. To pin a track to the top / bottom of the canvas, use the up and down arrows. To unpin a track, select the pin icon. A track can be hidden by clicking on the red minus symbol and unhidden by selecting the green plus. Coloured dot by a track names indicates the layers to which the track belongs (an example is shown)

Selection Details

At the bottom of the control panel you will find the Selection details section (Figure 52). It is used to display information on the element selected on the canvas (using the Pointer mode).

 

Figure 23. Selection details showing information on the element selected on the canvas. The example shows details of a microarray probe. Note the two link-outs ("Browse on UCSC" and "BLAST this sequence")

Additional Assistance

If you need additional assistance, please visit our support page to submit a help ticket or find phone numbers for regional support.

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