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Winnonlin phoenix
Winnonlin phoenix







  1. Winnonlin phoenix how to#
  2. Winnonlin phoenix manual#
  3. Winnonlin phoenix software#
  4. Winnonlin phoenix series#

You can learn more about WinNonlin at the Certara website. The ability to construct “workflows”, which are pre-defined steps in an analysis such as data formatting, analysis, output summaries, generation of tables, and generation of figures.

Winnonlin phoenix software#

While many in the industry have been skeptical about the new Phoenix platform and WinNonlin analysis engine, I believe that this revolution in pharmacokinetic software is setting a new standard. I believe you can also connect analysis tools such as R and NONMEM to the Phoenix platform. What types of connections can be added? While not an exhaustive list, you can add a non-compartmental analysis tool (WinNonlin), a single subject non-linear fitting module (also called WinNonlin), a data exchange solution (Connect), or a non-linear population analysis module ( NLME). Phoenix is a software platform where connections between analysis tools can be made. The platform serves as a stable area for connections to be made. Many types of supports, devices, and objects can be connected to the platform. Imagine an erector set that has a base or platform. Phoenix is really a framework or platform onto which different analysis tools can be connected. The most recent version (v6) represents a complete redesign of the software and incorporates many new features of modern software. The most familiar versions of WinNonlin (v3 – v5) were stand-alone Windows-based software packages used to perform non-compartmental analysis and single subject non-linear model fitting. WinNonlin is a pharmacokinetic software package that has grown and evolved over the past 20 years.

Winnonlin phoenix how to#

Here, we provide a step-wise illustration of how to perform a calculation of microsomal clearance from UNIFI data acquired on Xevo G2-S QTof using WinNonlin.A reader suggested that I write a similar post about WinNonlin. All of these features help to minimize errors and enable the more confident analysis of large data sets.

Winnonlin phoenix manual#

The exported data can be brought into third-party packages without manual copying or transcription and the table layouts preferences can be saved within UNIFI. Flexibility in defining and customizing columns to be exported (i.e.: filter data performed in human species at a specific dose or time points).

  • Entire processed datasets or filtered subsets data (such as separate tables for QCs, Unknowns, etc.).
  • Summary and custom calculations (support for built in UNIFI calculations such as max, min, average values, etc.).
  • Custom columns (user customizable values).
  • Specific columns and column order (such as response, response ratio, time, species, treatments, subject ID, etc.).
  • The export functionality can be tailored to include specific information, such as: Tables in UNIFI can be configured and saved to export exactly what the user needs. xls support and limited support for open standard spectral.
  • Direct export of tabular data (comprehensive Excel.
  • Electronic and customizable data transfer/integration between instrumentation software and third-party software platforms (WinNonlin, Spotfire, etc.) is the preferred approach and is essential for handling and processing large amounts of data with both accuracy and speed.Įnhanced export using UNIFI Software provides the following features:

    Winnonlin phoenix series#

    Calculation of PK parameters are commonly performed to establish the viability of a drug candidate or series and help prioritization efforts. It is critical for LC-MS software to support easy transfer of results to a variety of third-party software packages in order to extract and provide key information to support drug discovery and development.Īn example of this is to use LC-MS data to calculate pharmacokinetics parameters using industry-standard software packages such as Phoenix WinNonlin (Certara, St. How we convert this data to drive decisions is often the bottleneck as many different software tools are used in a typical DPMK lab. Generating LC-MS data is an integral part of drug metabolism pharmacokinetic (DMPK) departments.









    Winnonlin phoenix