The reporting on Sequence Analysis:
Sequences analysis follows similar channels of reporting as any other data store. The online transactional aspect of reporting is separated from read only reporting stacks. Unless the reporting requires temporary or permanent storage, it can pretty much be read only. Reporting stacks for sequences can form good charts and graphs by virtue of the stack they use. Most stacks provide conventional forms of representing trends and patterns while some go the extra length to show case cloudmap charts and interactive visualizations including drilldowns.
Sequence visualizations also need to support sequence legends. The sequences don't have aliases or identifiers so they tend to clutter up the chart or the graph. When the aliases are represented via legends, the size and number of entries in the legend grows considerably. Therefore, they need to be stored separate from the chart or graph.
Sequences are formed from elements. These elements are also of interest as they tend to repeat across sequences. Any visualization targeting the sequence becomes more interesting when it can show patterns in elements also. This overlay of charts is not typical for many other plots. The sequence patterns and trends can be shown even in a custom manner via programming stacks such as JavaScript and JQuery.
Sequences are formed from elements. These elements are also of interest as they tend to repeat across sequences. Any visualization targeting the sequence becomes more interesting when it can show patterns in elements also. This overlay of charts is not typical for many other plots. The sequence patterns and trends can be shown even in a custom manner via programming stacks such as JavaScript and JQuery.
Sequences analysis follows similar channels of reporting as any other data store. The online transactional aspect of reporting is separated from read only reporting stacks. Unless the reporting requires temporary or permanent storage, it can pretty much be read only. Reporting stacks for sequences can form good charts and graphs by virtue of the stack they use. Most stacks provide conventional forms of representing trends and patterns while some go the extra length to show case cloudmap charts and interactive visualizations including drilldowns.
Sequence visualizations also need to support sequence legends. The sequences don't have aliases or identifiers so they tend to clutter up the chart or the graph. When the aliases are represented via legends, the size and number of entries in the legend grows considerably. Therefore, they need to be stored separate from the chart or graph.
Sequences are formed from elements. These elements are also of interest as they tend to repeat across sequences. Any visualization targeting the sequence becomes more interesting when it can show patterns in elements also. This overlay of charts is not typical for many other plots. The sequence patterns and trends can be shown even in a custom manner via programming stacks such as JavaScript and JQuery.
Sequences are formed from elements. These elements are also of interest as they tend to repeat across sequences. Any visualization targeting the sequence becomes more interesting when it can show patterns in elements also. This overlay of charts is not typical for many other plots. The sequence patterns and trends can be shown even in a custom manner via programming stacks such as JavaScript and JQuery.
While element and sequence patterns are interesting, they may find their way into separate charts. It is not necessary to overlay them on top of each other in all cases and keeping them side by side allows the user to go back and forth between the two
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