walkthrough

####Choosing a Starting Sample

The first step to using HitWalker2 is to choose a subject, a cell line in this context. Subjects can be referred to by name or alias (if added to database). Each subject is associated with multiple samples, one for each data-type and which may or may not have the same name as the subject. Below we choose the HEPG2_LIVER cell line by typing its alias Hep G2 name into the search box. After choosing the sample, HitWalker2 displays the relationships between the subject and its samples. At this point, if multiple samples are present for a given data-type, the appropriate one can be chosen. Note that these samples are only used to retrieve the data-types for the prioritization step for this subject.

####Adjusting parameters

Before carrying out prioritization or querying, it is possible to adjust the query or hit choice criteria or the parameters of the prioritization algorithm by clicking on the Adjust button and choosing the category of parameters to adjust.

####Prioritization

After the adjusting any desired parameters, the variants for the HEPG2_LIVER cell line can be prioritized relative to the gene targets of the drug assay results. To do this click the Prioritize button. After 10-30 seconds a table summarizing the prioritization results is displayed as is shown below.

Several options currently exist to explore the results after the table is perused online.

• Download the results table as a CSV which can be imported into Excel.

• Choose genes which will form the basis of visualization and querying.

Clicking Submit will bring the user to the visualization panel screen and display the connections between the selected genes.

####Anatomy of the panel view

Legend

• (A) Nodes
  • Hierarchical collections represented as circles within circles
  • There are 3 main types of nodes currently implemented:
    • Genes
      • Collection of Hits, Queries and Overlays
      • Hits are differentiated by whether they were/weren't seen to be a hit
    • Subjects
      • Collection of subject/sample attributes such as gender or phenotypes
    • MetaNodes
      • Represents a collection of genes or samples
      • Not specifically represented in the legend
• (B) Edges
  • Indicate the type of relationship(s) between the nodes such as:
    • Whether a sample has a hit in a particular gene.
    • Gene-gene interaction in STRING.
• (C) Panel
  • Main image(s) to interact with, see below for how to interact.
• (D) Panel Description
  • Title of a given panel, indicates the panel history.

####Panel Interaction

Each panel can be interacted with using the mouse and a few main keys.

• Panel Right Click
  • Brings up a 'Context Menu' with the following options:
    • Delete
      • Deletes a given panel, note the first panel cannot be deleted.
    • Add Node
      • Creates a new panel and adds one or more nodes to the existing set of nodes grouping the nodes into MetaNode sets with unique types of relationships.
    • Pathway Context
      • Allows the selection of a pathway by first entering in genes of interest. This pathway is used to choose a set of genes to be displayed with the STRING interactions in a network context in a new window.
    • Export
      • Allows the export of a panel a PDF or CSV file.

• Node Left Click
  • Allows selection of one or more nodes.
  • Selected nodes can be dragged within a panel or dragged between panels

• Node Left + Right Click
  • Brings up a menu of available pre-specified queries.
    • These queries open a new panel and return a MetaNode with the results.
  • The Ungroup option is used to extract the nodes from a MetaNode.
  • The Pathway Context option is a shortcut to Panel Right Click->Pathway Context

• Node Right Click
  • (A) Brings up a summary of a node/MetaNode
  • (B) MetaNode summaries can be used to subset a MetaNode or produce a CSV file with the summary data.

• Node Dragging
  • Nodes can be dragged between panels
    • This is a shortcut to Panel Right Click->Add Node