Search Results for "php support system"

Computationally predicts the pharmacokinetic properties of drug candidates using Quantitative Structure Property Relationships (QSPR) modelling. Assembles a set of tools and databases for predicting the physical properties of small molecules. The program models a given property's dependence on a collection of molecular and structural descriptors using a training set of molecules. Neural networks and support vector regression are available, as well as linear models. The models generated by...

...If you are experiencing problems using the Lab Inventory System then please report your problem to support@atgclabs.com If you want to get priority help, need to get up to speed quickly, require some training or need full production support, request customization to your unique work flows or new features, please contact sales@atgclabs.com Join us on www.linkedin.com/groups/Lab-Inventory

...Request new Cell Culture feature or module and receive a free Single User version with new feature. https://www.atgclabs.com/products/fw Cell Culture is a highly specialized protocol-driven system designed to support development of the cell lines. Cell Culture manages activities related to the growth and maintenance of cell lines, provides stable cell lines development and incorporates laboratory methods facilitating faster and more accurate inventory lifecycle management: from the procurement of cell lines and request processing to tracking of tubes and other items in the laboratories. ...

IQuant is an automated pipeline for quantitative proteomics based upon isobaric tags. It integrates post-processing tool of protein identification and advanced statistical algorithms to process the MS/MS signals generated from the peptides labeled by isobaric tags for quantification. IQuant can run from a graphical user interface (GUI) as well as a command-line interface and work with both Windows and Linux system. This website contains the IQuant software, an example data labeled by...

This application allow user to predict microemulsion region based on algorithm consisted of artificial neural networks and random forests. Those techniques combined create Decision Support System. Application was created as a part of project K/DSC/000033 subsidy for young researchers from Polish Ministry of Higher Education.