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Releases: compomics/moFF

2.0.3

21 May 13:33
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fixed decimal point problem in Thermo library

moFF

07 Dec 18:34
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2.0.2

small fix to deal PS PTM

Kessel_Run

23 Oct 15:01
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  • improved CLI
  • use of confiuration file
  • support only py3.6 or above
  • detection of absence matched peak: Advance filtering of the matched peak based on the theoretical isotopic envelope of each peptide.
  • Support for the most used ptm usign a custom .json file (PTM are needed only is the MBR filter is active)
  • General speed up
  • peptdide summary intensity export to use moFF result in downstream analysis
  • possibility to run the apex model for a list input file
  • improved Galaxy integration. Now you can run moFF, just providing the full PSM report from PeptdeShaker and the list of the raw file. moFF internally will split the the input file for each raw file
  • fully multi-process both for mzML and Thermo Raw file

v.1.2.1

10 Jan 08:48
e627af6
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fix missing mono in big JSON request on Linux

v1.2

13 Dec 11:15
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main inprovements :

  • speed increased on Themo raw file mulplexing several XiC into a single json object

  • speed increased also to access mzML file

  • summary peptide intensity export

moFF Release 1.0 'Alderaan'

28 Feb 13:46
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Apex module works in multi-process improving a lot of the speed up. This has been well tested on thermo raw file using our txic program based on our unthermo library. The testing using mzML file is still undergoing.

Seamless integration with the report produced by PeptideShaker.

  • Now exporting your result in PeptideShaker using the default PSM export is possible to use directly the exported csv file into moFF.

A new way to input your data :

  • for the entire workflow (mbr+apex moff_all.py) you can use --inputtsv along with --inputraw to specify the list input and raw files. (e.g --inputtsv file1.txt file2.txt --rawlist file1.raw file2.raw).
    For the *apex module you can also using --inputtsv along with --inputraw but it takes only pair of files and not a list.
  • The old input commands using --inputF and --raw_repo is stil working for entire workflow

A docker file for moFF has been also added to the repository and tested