Web Client
Desktop Client
Click the titles below for a quick video on the subject:
Progeny Clinical Overview – An overview of Progeny.
The Learning Center – An overview of the Learning Center.
Navigation Overview – An overview of the navigation with the different modules in Progeny.
High-Risk Colorectal Cancer Triage – Colorectal Cancer workflow.
High-Risk Breast Triage – Breast Cancer workflow.
Progeny Clinical For Cardio – Cardiology workflow.
Optimizing Progeny – Optimizing your Progeny usage, edit your default settings.
Profile Settings – Change the user profile settings.
Display All Individuals vs Only Probands – Switch your view to see only probands or all individuals.
Smart Lists – Columns that can be searched and filtered.
Switching IDS Formats – Switching between multiple IDS.
Build a Pedigree – Build a pedigree by clicking to add individuals.
Build a Pedigree with Family Palette – Add individuals to a pedigree using the family palette tool.
Change Gender – Change the gender of an individual in a pedigree.
Change Vital Status – Change the vital status of an individual.
Mark Individual as Adopted – Mark an individual in a pedigree as adopted in or adopted out.
Change Proband – Change the proband of the pedigree to another individual.
Set Icon as Infertile or No Issue – Mark an individual on a pedigree as Infertile or No issue.
Mark Icon as asterisk plus minus – Mark an individual in a pedigree with an asterisk, plus, or minus sign.
Changing Attributes – Designate SAB – Mark the attribute of a specific individual to SAB on a pedigree.
Add Text Inside Icon – Add custom text inside an individual’s icon on a pedigree.
Add a Text-Box to Pedigree – Add your own custom free text box to a pedigree.
Edit Relationship Lines – Edit relationship lines on a pedigree to specify the type of relationship between two individuals.
Delete or Remove an Individual – Delete or remove an individual from a pedigree.
Add a Patient – Adds a single patient with a pedigree in Progeny.
Select Individuals Meeting Query Criteria – Select and highlight individuals within a pedigree based on specified criteria.
Select and Move Individuals in a Pedigree – Select and move single or multiple individuals to any location within the same pedigree.
Print a Pedigree – Print a pedigree.
Save Pedigree as Image – Save a pedigree as an image to be used elsewhere.
Fit Pedigree to a Page – Makes the pedigree fit on a single page.
Copy a Pedigree – Copies a pedigree to be placed elsewhere.
Pedigree Display Settings – Change the pedigree display settings.
Pedigree Dimensions – Change the pedigree dimensions.
Smartdraw Option Settings – Different settings for Smart Draw
Pedigree Format Settings – Change the different formats for the pedigree.
Invite a new Patient to Complete a Questionnaire – Invite a new patient to fill out a questionnaire.
Invite Patient to Complete a Questionnaire – Invite a patient, new or existing, to fill out a questionnaire.
Launch a New Questionnaire from Full View on a Tablet – Invite a patient to fill out a questionnaire from your tablet.
Invite Status – The Invite Status module and the different features.
Move Pedigree Once FHQ is Submitted – Move pedigrees to a specified folder once the FHQ is submitted.
Lock or Unlock Questionnaires – Lock or unlock questionnaires.
Send Reminders – Send a reminder to patients.
Patient Forgot Username-Password – Reset a patients password for their FHQ.
Edit Email Templates – Edit the Email Templates for the questionnaires.
Find Questionnaire Generic Link – The location of the Generic link for questionnaires.
Edit Questionnaire Datasheet – Customize the datasheet format for the questionnaires.
Edit Questionnaire Module Overview – The Edit Questionnaire module and the different features.
Edit Questionnaire Skip Logic – Edit the Skip Logic configuration for questionnaires.
Run Risk Models – Run the Bayes-Mendel, Tyrer-Cuzick, Gail, Premm, and Claus risk models on individuals within Progeny.
Competing Mortality – Enable the Competing Mortality function when running the Tyrer-Cuzick risk model.
Genetic Testing Results – Using the Genetics Testing Results table.
Genetic Test Results for Non-Ambry Lab – Using the Genetics Testing Results table for a lab other than Ambry.
Progeny Letter Generation demo video – The Letter Generation feature.
Create Custom Letter Template – Create your very own custom letter template, which automatically updates when using this letter for different individuals.
Edit Letter Templates – Editing and updating Progeny letter templates to include other required fields and information.
Add an Image to a Letter – Incorporate a custom image into a letter.
Edit Individual Letter – Customize an individual’s letter to add information needed before saving or exporting as a file. If selecting an existing template, the changes will not be saved to the template.
Generate Letters and Consult Notes – Generate a letter for an individual in your database.
Generate Batched Letters – Generate a letter for multiple individuals in your database.
Run a Spreadsheet – The spreadsheet module and all its features.
Enter Data on a Spreadsheet – Entering data on a spreadsheet







Displayed by right-clicking on an Individual in the pedigree.



Right-click with your mouse anywhere on the empty space of the pedigree canvas to open the right-click menu.


Pedigree Fields are fields that are displayed on the pedigree. These fields are pedigree level and usually displays data about the pedigree. Pedigree Fields are very dynamic and customizable. Users can load a Pedigree Fields format to update the Pedigree Fields in the Formats tab of Pedigree Settings.

This legend auto-populates as you add cancers and/or other diseases that are predefined with custom pedigree symbols. Pedigree symbols can be customized and used with various data fields to display symbols on the pedigree. To add a cancer to an individual, see Individual Datasheet for more details. Users can load a symbol format to update the symbols in the Formats tab of Pedigree Settings.
End-User Administrators can create and edit symbol formats.

This text is found under each Individual and can be edited via the Individual Datasheet. Subtext can be customized to display data on the pedigree from fields within your Individual Datasheet. Users can load a subtext format to update the subtext in the Formats tab of Pedigree Settings.
End-User Administrators can create and edit subtext formats.

The header refers to the pedigree title which defaults to displaying the Pedigree Name. However, you can free type the desired header or it can be created as a format based on pre-defined data points (like proband name, date of birth, or MRN) or any other data field in the database.
The footer refers to text applied to the bottom of each page of the pedigree canvas. Again, the footers can be entered as free text or configured to reflect any desired data point, (like appointment date or location, genetic testing status of the proband) or any other piece of data being collected in the database.

Users can enter text or load a Header/Footer format to update the pedigree headers and footers in the Formats tab of Pedigree Settings.
End-User Administrators can create and edit smart header and smart footer formats.
The person serving as the starting point for the genetic study of a family is the Proband and is marked with a black arrow on the pedigree.

Users in Progeny can manage their basic user profile. On the upper right side of the page, click the drop-down arrow next to the image and select Profile or you can also click the image.

If a name and email have already been entered into a user account, it will then be displayed. Users should sign out of Progeny by clicking Logout.

Profile opens another window with the profile information. Here the user can view/edit their first and last name, email address, and their profile picture. Users can also change their password by entering their Current password, New password, and Confirm new password.

Under the Settings tab, the user can select which Progeny tabs open by default when the user logs in. We recommend you select the tabs you use most often.

If you need additional assistance with using Progeny, there is a help button next to the login logo that can be clicked which then opens the Progeny Learning Center website. From there you can view helpful articles, videos, PDFs, and other reference information.

The different modules in Progeny are displayed on the top of the page. Access to certain modules will only be available depending on your institution’s licensing with Progeny as well as the user permissions for your user account. Use the toolbar by clicking on a module to open the tab to that specific module. Some modules will have a drop down to click so that additional actions pertaining to that model can be displayed.

*=administrative or end-user administrator functionality
Progeny has three main window panes. The left vertical pane displays the folder organization for a particular functional area in a Windows Explorer-style structure [1]. Click on a folder in the pane to open the folder. As folders and sub-folders are opened in this pane, detailed information about the folder’s content is displayed in the upper and lower horizontal panes on the right [2, 3] (information is displayed in the bottom pane when an item is highlighted in the upper pane).

The folders displayed in the left pane will correspond with the module selected (pedigrees or individuals). The panes to the right correspond to parent items on top and sub-items below. For example, if the user is in the Pedigrees module and highlights a pedigree in the upper-right pane, all of the individuals and invites attached to that pedigree are displayed in the lower-right pane. Likewise, if the user is in the Individuals module and highlights an individual then all invites attached to that individual are displayed in the lower-right pane.
The Smart Lists feature allows you to select which columns (fields, circled in green) you wish to display in the selected module. They are used to quickly search the database from the smart search field (circled in yellow). The search results only display the data found in the selected columns (fields). You can sort the results by clicking any of the column headings.


*=requires administrator or end-user administrator access
Searches the smart list database fields (displayed columns) of the module level (pedigree or individual). The search is limited to the exact order of the characters in the string.

The Pedigrees Actions Menu provides quick access to functions within the pedigree module for your clinical workflow.

The Individuals Actions Menu provides quick access to functions within the individual module for your clinical workflow.



To create a Pedigree from the Progeny Web Interface, select the Pedigrees module, then click the New Pedigree button in the upper right corner of the screen.

This will open the Add New Pedigree window.




The pedigree datasheet is used to enter and store information about pedigrees in your Progeny database. They function the same as Individual Datasheets, except a Pedigree Datasheet can contain only pedigree database fields.
You use a pedigree datasheet to enter and store data for a pedigree. When you create a new pedigree, a pedigree datasheet is automatically created for the pedigree. All the pedigrees that are assigned to a pedigree data folder can use the same datasheet format, or each pedigree in the folder can use a unique datasheet format. You can format a pedigree datasheet at the time that you add a pedigree to a data folder, or at a later date.
To format a pedigree datasheet




Next click Form Design on this blank datasheet and format the datasheet as needed by utilizing Style, Fields, Add Text, Add Tab, and Properties buttons shown in the image below.
A database file is a collection of records. A database record is a set of fields. A database field is a single piece of information from a record. The Fields module displays the record-level fields that are contained in a Progeny database. To open this module, click the Fields button on the Navigation bar. There are four different types of record-level fields in Progeny:




When creating database fields in a Progeny database, you must specify the type for the field. The field type determines the type of data that a user can enter into the field (alphanumeric, numeric, date, and so on) or determines how the field functions in the database, for example, an image displays in the field when a user selects an image file for an image field, dropdown fields provide a custom pick list, and date fields provide a date and time picker when end users are doing data entry for those field types. By default, each field type is marked with a unique icon in the application. Not all field types are available for all record levels. The table below lists the field types that are available for each record level field in a Progeny database. It also provides a description of each field and the records for which the field type is applicable.

A text field is for alphanumeric data (all digits and printable characters). You can enter up to a maximum of 32,000 characters in a text field. A text field is the most generic and least restrictive of all the available field types. Examples of text fields include First Name, Last Name, Address, City, Notes and so on.

A date field contains a calendar. You can use the calendar to enter a date in a date field, or you can simply enter the date in the field. The first time that you click on a date field, the checkbox for the field is not selected, which means that the field is not editable. To make the field editable, you can do one of the following:
A date is stored in the database in a four digit format (M/D/YY) regardless of the date’s display when you use the calendar (MM/DD/YYYY) or if you manually entered a four-digit year. Dates are displayed in a date field based on the regional settings of the client workstation.

You can enter only the digits 0 through 9 in a numeric field. Decimals and negative numbers are allowed; however, no other characters, either alphabetic or special (such as commas) are allowed. If you want to sort data based on numeric values, then you must use a numeric field. You cannot sort based on numeric values if the data is entered in a text field.

A Yes/No field is a checkbox field that holds a value of either 1 (to indicate Yes) or 0 (to indicate No). Progeny always stores a value in a database for a checkbox field whether or not the field is checked. If the field is checked, Progeny stores a value of “1” in the database. If the field is not checked, Progeny stores a value of “0”.

A drop-down field displays a pre-defined list of items from which you can make a selection. To open the list, simply click in the field. You can scroll through the list and select one item at a time. The items are mutually exclusive. For example, you might create a dropdown field named “Race” and the available items are African American, American Indian, Asian, and so on. When you are adding/editing a drop-down field, the order in which you enter the items on the Add New Field/Edit Field dialog box is the order in which the items are displayed in the dropdown list. You can use the
arrow keys on your keyboard to move up and down the list of available values for the field. If you are selecting from a lengthy dropdown list on a datasheet, you can enter the first few letters of the name of the item that you want to select and the list is dynamically updated with the items that meet your search criteria.

An image field can display an image file in one of the following formats—.bmp, .gif, .png, .tiff, and .jpg/.jpeg. When you click on an image field, you are prompted to enter the type of image file that you want to display. You then navigate to the appropriate image file and select it. After you select the image file, the image is displayed in the Image field.

A table allows you to enter multiple values for the same set of data fields. For example, you might add a table called Cancer History that would allow a user to enter cancer diagnosis information.

A lookup table contains a dropdown list of fields that are related in some way. Each row within the drop-down contains a predefined “lookup” value which refers to a set of data fields that can be updated so as to remain current. For example, you might create a lookup table called Referring Physician that would allow a user to simply select a
physician’s name from the list, thereby associating all of the physician’s current contact information such as the physician’s phone number, the physician’s pager number, institution, and ID. To enter data in a lookup table field, simply click in the field to open the table, and select the appropriate value from the drop-down table.

You cannot enter data into a computed field. Instead, a computed field contains an expression that yields a value that is automatically calculated each time the window that contains the field is opened. For example, a computed field for Current Age is defined as the difference in years between the date that is in the Current Date field and the date that is in the Date of Birth field.

The purpose of a summary field is to summarize the data of object sub items (individuals or samples) of a database object (a pedigree, individual or sample). A summary field provides summary information for any selected data field and displays a summary value as a maximum value, minimum value, average, sum, or count. Summary functions can be carried out on all fields that are not contained in tables and conditional queries can be employed to populate precise summary values. Pedigree level summary fields summarize individual-level data of the individuals within each pedigree. Individual-level summary fields summarize sample level data of the samples associated with each individual. And sample level summary fields summarize sample level data of the sub-samples and aliquots of each sample. For example, a pedigree level summary field might provide a count for the total number of cancer diagnoses in the pedigree. An individual level might provide a count of the number of available DNA samples. And a sample level summary might provide a total available volume of all non-exhausted aliquots of each sample.
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Similar to a summary field, a table summary field is a computed field that summarizes a given column of a table. For example, you might create a table called Cancer Diagnosis with a field in it called Diagnosis Age and you want to see when the patient was diagnosed for the first time with a specific type of cancer. You can create a table summary field called Minimum age Colorectal or Minimum age Endometrial that displays the age of the patient when they were first diagnosed with these specific types of cancer.

A hyperlink field contains a hyperlink to an external file, program, or website. Simply click on the link in the field to open the file, program, or website. For example, a hyperlink field named Email Address could contain an individual’s email address. When you click on the email address in the field, an untitled email addressed to the individual opens in the available email client such as Microsoft Outlook. Hyperlink fields can also be used to load and view documents.

You can add, edit, and delete record-level database fields only from the Fields module. When adding record-level fields in a Progeny database, you must specify the field type. You can set a default value for the field, add validation rules to the field, and set security for the field. You can create folders for storing and organizing database
fields. You can also delete a database field. When you delete a database field, it deletes not only the field but also, any data that is stored in the field.



You can edit a database field only if no datasheets are open. If one or more is open, right-click on the tab(s) and click Close Tab. You can then continue with editing the database field.
You can delete a database field only if no datasheets are open. If one or more is open, right-click on the tab(s) and click Close Tab. You can then continue with deleting the database field.
Before you add a table, you must confirm that the fields that are to be added to the table already exist in the database, otherwise, you must add them. For example, before adding a table called Visit Information, you need to confirm that the fields Visit Date, Visit Type, and Visit Purpose already exists in the database, otherwise, you must add them.

Before you add a lookup table, you must confirm that the fields that are to be added to the lookup table already exist in the database, otherwise, you must add them to the database. For example, before adding a lookup table called Referring Physician, you need to confirm that the fields Ref Phy Phone and Ref Phy Pager already exist in the database, otherwise, you must add them. After you add a lookup table, you can add the data to the fields in the table from scratch, or you can import data from a text file into the fields.



You can import data into a lookup table from a delimited file. The file can be a comma or tab delimited file, or you can specify another delimiter type.

You cannot enter data into a computed field. Instead, when you add a computed field, you must define an expression for the field that yields a non-editable value that is automatically calculated each time the window that contains the field is opened. For example, a computed field for Current Age is defined as the difference in years between
the dates in the Current Date field and the Date of Birth field. The expression can use functions, constants, and values in other fields for the calculation of the value. For example, a computed field can display the Body Mass Index (BMI) for an individual by calculating BMI based on the values in the Height and Weight fields. You can also specify the parameters for a computed field so that the field displays data only if another field is null (no data has been entered in the field). A computed field can be displayed in spreadsheets, pedigrees, and datasheets without displaying the fields on which its
calculation is based. For example, the Current Age field can be displayed without displaying the Current Date and/or Date of Birth fields.
An expression is a group of characters or symbols that represent either a quantity/value or an operation. Table 2-2 lists the expressions that are allowed for a computed field.

You can include other computed fields, summary fields, and/or system fields when you are defining the expression for a computed field. An example of including system fields when you are defining the expression for a computed field is the expression {Global ID} + 1000, which is a computed field that would display the value in the system field {Global ID} plus 1000 in the field. When you are defining the expression for a computed field, all references to database fields must be enclosed in curly brackets {}. For example, the sum (SUM) of the two database fields NUM1 and NUM2 is defined as {NUM1} + {NUM2}. To make data entry easier, you can drag a database field from the Fields pane at the bottom of the Add New Field dialog box into its correct location in the expression. The database field is automatically enclosed in curly brackets when you add it to the expression.
A NULL field is a field in which no data has been entered. Any expression that receives a NULL parameter returns NULL, and this is often not an acceptable result. For example, the following expression returns the sum of three numeric fields:
{Field1} + {Field2} + {Field3}
However, if either Field1 or Field2 and/or Field3 is null, the expression returns NULL.

You can use the IFNULL function to return a value of one of the fields in the expression, or a zero value. For example, if you use the IFNULL function to define the allowed returned value:
IFNULL({Field1},0,{Field1}) + IFNULL({Field2},0,{Field2}) + IFNULL({Field3},0,{Field3})
then the field will return an acceptable result.

The following example is simply a high-level example of the typical approach used to define a computed field expression.

A summary field provides summary information for a given column on a per pedigree basis. Summary functions can be carried out on all fields that are not contained in tables. (The fields can be contained in lookup tables). When you add a summary field, you must specify the type of summary value (Average, Count, Maximum, Minimum, or Sum) that is to be returned in the field. Summary fields allow you to summarize data from the database field type directly below it – for example:

A table summary field is a computed field that summarizes the data for a given column in a given table. For example, you might add a table called Visit Record with a field in it called Visit Date and you want to see what the most recent visit date is for a specific patient. You can add a table summary field called Most Recent Visit Date that displays the most recent visit date for a patient who has five distinct visit date entries in the Visit Record table.


When you are creating a new database or modifying an existing database, you have the option of adding new fields “from scratch” to the database; however, if an existing database already contains the needed fields, you can simply copy these fields. When you copy fields between databases, if any fields have the same name and are of the same or different type, then a prompt opens asking you if you want to overwrite the original field and all of the data in the field. You can select to overwrite the original field and all its data, or you can leave the original field and its data as is.


When you are adding or editing a database field, you have the option of setting validations for the field. Validations guarantee that every data value that is entered into the field is correct and accurate. Three types of field-level validations are available—data entry rules, field validation settings, and dependent validations. If field validation settings and/or dependent validations are violated when you attempt to save data, then validation errors are generated.

If field validation settings and/or dependent validations are violated when you attempt to save data, then the fields with the validation errors are highlighted in red on the affected datasheet and spreadsheet and a Validation Errors dialog box opens. This dialog box lists the validation errors on a field by field basis. You can double-click on a field that is listed in error to go the field in the open datasheet or spreadsheet.

Folders provide a means of organizing your database fields. You can add as many folders and subfolders as needed to support your business needs. After you add a folder, you can set the security for the folder as well as for fields that are in the folder. You can also edit the security for a database folder. The default security settings for a folder are set to Read and Write for All Users. You can add more classes if needed. After you add additional user classes, all the user classes will be displayed. You can delete a folder only if the folder is empty (contains no database fields).

You can rename a folder, and you can change the security settings for a folder.
You can delete a selected database folder only if the folder is empty (contains no database fields). If you want to delete a database folder that contains fields, you must first delete all of the fields in the folder.


Using database field security we can specify which users will have access to certain fields. It gives us the flexibility to differentiate between the users that can view and enter data into fields for which they have been given permission.





Progeny has integrated the ability to order genetic tests from Ambry Genetics through Ambry Port. Through Progeny, users can:
This eliminates the necessity of switching to another application for these tasks.
To be able to use the order feature, clinicians need to contact us at https://progenygenetics.com/support/contact/
Once the form has been submitted, you will be contacted by Progeny Support to setup and activate the Ambry button in Progeny.
When going into User Maintenance, click on ‘Testing Keys’ and input Ambry Ordering Keys, exactly as provided by Progeny Support.

From here choose the user you would like to add the Ambry credentials for. Once the user is chosen, click the Ambry IDs tab, and from here enter the Organization Name and Clinician ID.

After adding the credentials to the user, open a pedigree. From the pedigree choose the Order Test button. From here select the Map Fields button, mapping these fields will allow the data to auto-fill for the selected individual.

When clicking map fields you will be brought to this page, and have the ability to map the fields you are using to capture the data for each field.

You can select the individual you would like to order a test for from the individual’s pedigree or the individual’s datasheet. To order from the pedigree, first, click the individual you would like to order the test for, then click the Order Test button.

To order from the individual’s datasheet, go into the individual’s datasheet and choose the Order Test button at the top.

When selecting Continue with Pre-verification or Continue with Order, you will be taken to the Ambry Port view, and be prompted to fill out the TRF (Test Requisition Form).


Spreadsheets and Queries are used for searching for specific field data and displaying the results in a spreadsheet. You can search either your individual or pedigree level fields.


The actions menu, which can be accessed by clicking the three bars in the Actions column, gives the option to run, edit, and delete a spreadsheet.
When selecting Edit Format you will be brought to the following page, which will allow you to add any fields to the spreadsheet that you would like.

To edit an existing format click the Edit Format option from the Actions menu. Here you can select which fields you wish to query, add logical operators to your search, and specify how the results are sorted.

Follow these steps to build a Spreadsheet Query:
When carrying out a multiple fields query, use parentheses to define the order of operations for a query. The order of operations determines the queries that must be carried out first in a series of queries. For example, the below image shows a query that first filters individuals who were diagnosed with Breast cancer at the age of 45. The query then filters individuals who were diagnosed with Fallopian Tube cancer. Because this query uses the OR operator, the query returns individuals who meet either query criteria.

The following logical operators are available to target your search results:
| Operator | Description |
| begins with | Search for an item where the specified field contains data that begins with the search criteria. For example, if the query field for individuals is the Weight field, and you specify Weight begins with 17, then only those individuals for whom the weight begins with a 17 (17 or 170-179) are returned in the search. |
| contains | Search for an item where the specified field contains any instance of the search criteria. For example, if the query field for individuals is the Weight field, and you specify Weight contains 75 |
| does not begin with | Search for an item where the specified field contains data that does not begin with the search criteria. For example, if the query field for individuals is the Weight field, and you specify Weight does not begin with 17, then only those individuals for whom the weight does not begin with a 17 (0-16, 18 -169, and so on) are returned in the search. |
| does not contain | Search for an item where the specified field does not contain any instance of the search criteria. For example, if the query field for individuals is the Weight field, and you specify Weight does not contain 75, then all individuals who have a weight in which 75 does not appear (0-74, 76-174, 176-274, and so on) are returned in the search. |
| does not end with | Search for an item where the specified field contains data that does not end with the search criteria. For example, if the query field for individuals is the Weight field, and you specify Weight does not end with 75, then only those individuals for whom the weight does not end with a 75 (0-74, 76-174, 176-274, and so on) are returned in the search. |
| does not equal | Search for an item that meets any criteria other than the specified value. For example, if the query field for individuals is the Weight field, and you specify Weight ≠ 175, then only those individuals whose weight does not equal 175 |
| ends with | Search for an item where the specified field contains data that ends with the search criteria. For example, if the query field for individuals is the Weight field, and you specify Weight ends with 75, then only those individuals for whom the weight ends with a 75 (75, 175, 275, and so on) are returned in the search. |
| equals | Search for an exact match. For example, if the query field for individuals is the Weight field, and you specify the search criteria as Weight = 175, then only those individuals whose weight is exactly 175 are returned in the search. |
| in | Allows for comma separated values to be entered into a field so that multiple items can be searched and returned in the search results. For example, if the query field for individuals is the Weight field, and you specify Weight in 75, 80, 85, 90, then all individuals whose weight is exactly 75, 80, 85, or 90 are returned in the search. Note: You can copy and paste a list of values from .csv file into a query of this type. |
| is blank | Search for an item where the specified field contains absolutely no data. For example, if the query field for individuals is the Weight field, and you specify Weight is blank, only those individuals for whom data has not been entered into the Weight field are returned in the search. Note: A zero (0) is an actual data value. This means that if a zero (0) has been entered into the Weight field for an individual, then the individual is not returned in the search. |
| is greater than | Search for an item that is greater than the specified value. For example, if the query field for individuals is the Weight field, and you specify Weight > 175, then only those individuals whose weight is greater than 175 are returned in the search. |
| is greater than or equal to | Search for an item that is greater than the specified value or is an exact match for the specified value. For example, if the query field for individuals is the Weight field, and you specify Weight > 175, then those individuals whose weight is exactly 175 or greater are returned in the search. |
| is less than | Search for an item that is less than the specified value. For example, if the query field for individuals is the Weight field, and you specify Weight < 175, then only those individuals whose weight are less than 175 are returned in the search. |
| is less than or equal to | Search for an item that is less than the specified value or is an exact match for the specified value. For example, if the query field for individuals is the Weight field, and you specify Weight < 175, then those individuals whose weight is exactly 175 or less are returned in the search. |
| is not blank | Search for an item where the specified field contains any valid data. For example, if the query field for individuals is the Weight field, and you specify Weight is not blank, all individuals for whom data has been entered into the Weight field are returned in the search. Note: A zero (0) is an actual data value. This means that if a zero (0) has been entered into the Weight field for an individual, then the individual is returned in the search. |
| is not in | Allows for comma separated values to be entered into a field so that multiple items can be searched and excluded from the search results. For example, if the query field for individuals is the Weight field, and you specify Weight is not in 75, 80, 85, 90, then all individuals whose weight is not exactly 75, 80, 85, or 90 are returned in the search. Note: You can copy and paste a list of values from a .csv file into a query of this type. |
is not like | A pattern matching search based on the keyword “like.” An underscore (_) is used to match exactly one character, and the percent sign (%) is used to indicate any number of characters. For example, if the query field for individuals is the Weight field, then to search for all individuals whose weight is not like 75, select “is not like” as the operator and enter %75 in the Value field. The % indicates that any number of characters can come before 75, for example, 0 -74, 176 – 184, 186 – 274, and so on. Note: You can use the % anywhere in the search criteria, for example, 75% or 7%5. |
like | A pattern matching search based on the keyword “like.” An underscore (_) is used to match exactly one character, and the percent sign (%) is used to indicate any number of characters. For example, if the query field for individuals is the Weight field, then to search for all individuals whose weight is like 75, select “like” as the operator and enter %75 in the Value field. The % indicates that any number of characters can come before 75, for example, 75, 175, 275, and so on. Note: You can use the % anywhere in the search criteria, for example, 75% or 7%5. |

The Menu Buttons give you many different options.
When right-clicking on an individual, if it is an individual spreadsheet, you will be given the option to open the pedigree or the individual datasheet.
You can resize the column headings by hovering over the line between column headings until a vertical line icon with arrows appears, and dragging the icon to the column width you would like. If you right-click a column heading, you can filter the data using the specified column.

From the spreadsheet you have the ability to edit the field. You can do this by going to the individual you would like to add data for, and going to the field and inputting the data.

To load a different spreadsheet while in another spreadsheet, first click Load Fmt. A pop-up screen will then appear with previously saved spreadsheet formats to choose from.

To save a format, first, click Save Fmt. A pop-up screen will then come up giving you the ability to save the spreadsheet.

To export a spreadsheet, first, click Export. The following pop up will then come up, giving you different options for exporting the spreadsheet.
