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analyzer

C. H. S. analyzer. Visual Documentation v1.0.4.1. User Interface. Active class (for selection and some processes). Number of wells associated with the active class (current plate only). Current activated plate. Process pipeline. Wells coordinate. Currently activated descriptor.

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analyzer

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  1. C H S analyzer Visual Documentation v1.0.4.1

  2. User Interface

  3. Active class (for selection and some processes)

  4. Number of wells associated with the active class(current plate only)

  5. Current activated plate

  6. Process pipeline

  7. Wells coordinate

  8. Currently activateddescriptor

  9. Current plate readouts display corresponding to the selected descriptor

  10. Look up tablerelated to the current plate and the current descriptor

  11. Available and activated descriptors When inactivated, the descriptors will not be taken into account for any process.

  12. Zoom in and Zoom out(can also be performed with the mouse wheel)

  13. When activatedonly class colors are displayed

  14. When checkedclass selection is performed on all the currently activated plates

  15. When pressed, all the wells will turned into the currently selected class (including non activated wells)

  16. When pressed, the wells will turned into the currently selected class (only activated wells are concerned)

  17. When the mouse cursor isplaced over a well, a list of information is displayed. This includes: Well position, name (if so), list of all the activated descriptors with their corresponding values and the class

  18. Contextual menu: Histogram(right click on a well) Average and standarddeviation of the displayedhistogram Histogram of the selected histogram within the active class over the entire list of active plates.(The histogram color is related to the class) Current value of the selected well

  19. Contextual menu: Info (right click over a well) Representation of the distribution (if available) of the current well selected descriptor Display (if loaded) Name, Information , Locus ID and Concentration associated to the current well (Info and Name are editable) Save new Info and Name

  20. Contextual menu: Kegg (right click over a well)Locus ID is required for this option Current value of the selected well

  21. Options

  22. Note: display distribution option requires the have loaded a distributions based screen

  23. File format: scalar format

  24. MS Excel view Notepad view The first row of the .csv data table should contain the name of every parameter. The order is not important has it can be change during the loading process. However, a column for the plate name, the well position and at least one descriptor (double format) are mandatory.

  25. MS Excel view Notepad view Then, down below, the values are listed: double format for the descriptors and concentration, integer for the locus ID and class (<=10), and string for the others. If a descriptor value is missing or a parameter not formatted in the correct format, the well will be rejected from the screening.

  26. File format: histogram format

  27. A general directory containing every plate of the screening has to be created Every plate is defined by its own sub-directory. The name of the directory will be used as the plate name.

  28. A general directory containing every plate of the screening has to be created Each plate directory should contain a .txt file for every well.The file name is defined as follow:“MxN.txt” Where M and N are respectively the column and row position (1 indexed)

  29. MS Excel view For each well, every row describes a descriptor histogram: 1st column is the name, then the remaining columns contain the histogram values (tab-separated).Note: consistency between each .txt file is required. Importing such data can be operated trough the File->Load Histogram Based Screen menu.

  30. Importing Data

  31. Plate dimensions

  32. Readouts preview

  33. Names that be associatedwith the data

  34. If unchecked,the corresponding data will not be loaded

  35. Data type.Mandatory: Plate Name,well position and at leastone descriptor.Note: Locus ID should be defined as an integer.

  36. Generating artificialunivariate screening data

  37. If an effect X is selected, it will be combined to original data by the following way: Resulting Data = Original Data * (X +Shift_X)

  38. The higher Shift_X is, the lower X contribution to the generated data

  39. If a parameter X is checked, its value will vary from, increasing with a stepdefined in the options window.

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