All information pertaining the BIONUMERICS database. This includes import of descriptive information about strains, accession or biological samples (commonly referred to as entries in BIONUMERICS), modifications to the database layout and setup, entry selections, user management, etc.
In this tutorial a new BioNumerics database is created and levels are defined. Structuring databases in hierarchical levels avoids unnecessary duplication of information and provides a flexible solution to deal with replicate measurements.
BioNumerics contains a comprehensive set of user and security tools, including the creation of User Groups defining specific privileges and Users with logins and passwords. In this tutorial you will learn how to create users, how to assign logins and passwords to the created users, and how to grant and deny privileges to User groups.
A range of dendrogram display options are available in BioNumerics facilitating the interpretation of a tree. An example is the circular dendrogram visualization option (see the circular dendrogram visualization feature page for more information). In this tutorial some display options will be illustrated in the Comparison window and Advanced cluster analysis window.
Decision networks in BioNumerics should be seen as a construction kit that allows you to build your own automated decision or action work flows, with practically endless possibilities. They can be used to make decisions, predict features, perform queries, fill in fields, create graphs and plots, and much more. In this tutorial you will learn how to create these work flows in a BioNumerics Seven database.
This tutorial illustrates how to create some of the most commonly used chart types in a BioNumerics database, and how to alter the layout of a chart.
When a set of organisms is classified by more than one system, the question arises as to how the classification systems relate to each other. This is what the partition mapping tool is designed for in BioNumerics: to compare the outcome of two classification systems and to predict the classification of one technique based upon the results from another technique. In this tutorial some of the features of this partition mapping tool are illustrated using a sample data set.