PILISModelCV Installation On A Debian, Ubuntu, Kali And Raspbian

PILISModelCV Installation On A Debian, Ubuntu, Kali And Raspbian

PILISModelCV

set of programs implementing The OpenMS Proteomic Pipeline

Learn Laravel, React, VueJS and Python
read programming books
Maintainer: The Debichem Group
Email: [email protected] .
Website: http://www.openms.de
Section: science

Install PILISModelCV

  • Debian apt-get install topp Click to copy
  • Ubuntu apt-get install topp Click to copy
  • Kali Linux apt-get install topp Click to copy
  • Raspbian apt-get install topp Click to copy

topp

set of programs implementing The OpenMS Proteomic Pipeline

TOPP (the OpenMS proteomic pipeline) is a pipeline for the analysis of HPLC/MS data. It consists of a set of numerous small applications that can be chained together to create analysis pipelines tailored for a specific problem. The applications make use of the libopenms library. Some examples of these applications are : - TOPPView: A viewer for mass spectrometry data. - TOPPAS: An assistant for GUI-driven TOPP workflow design. - DTAExtractor: Extracts spectra of an MS run file to several files in DTA format. - FileConverter: Converts between different MS file formats. - FileFilter: Extracts or manipulates portions of data from peak, feature or consensus feature files. - SpectraMerger: Merges spectra from an LC/MS map, either by precursor or by RT blocks. - BaselineFilter: Removes the baseline from profile spectra using a top-hat filter. - InternalCalibration: Applies an internal calibration. - PTModel: Trains a model for the prediction of proteotypic peptides from a training set. - RTPredict: Predicts retention times for peptides using a model trained by RTModel. - ExecutePipeline: Executes workflows created by TOPPAS.

Install the latest version of PILISModelCV in Debian, Ubuntu, Kali and Raspbian from terminal. To install the PILISModelCV just copy the above command for your OS and run into terminal. After you run the command it will grab the latest version of PILISModelCV from the respository and install it in your computer/server.