Legend:
required parameter
advanced parameter
+PrecursorIonSelectorPrecursorIonSelector
version1.10.0
Version of the tool that generated this parameters file.
++1Instance '1' section for 'PrecursorIonSelector'
in
Input feature map file (featureXML)input file*.featureXML
out
modified feature mapoutput file*.featureXML
next_feat
feature map (featureXML) file with the selected precursorsoutput file*.featureXML
ids
file containing results of identification (idXML)
num_precursors1
number of precursors to be selected
raw_data
Input profile data.input file*.mzML
load_preprocessingfalse
The preprocessed db is loaded from file, not calculated.true,false
store_preprocessingfalse
The preprocessed db is stored.true,false
simulationfalse
Simulate the whole LC-MS/MS run.true,false
sim_results
File containing the results of the simulation run
db_path
db fileinput file*.fasta
rt_model
SVM Model for RTPredict
dt_model
SVM Model for PTPredict
solverGLPK
LP solver typeGLPK,COINOR
fixed_modifications[]
the modifications i.e. Carboxymethyl (C)
log
Name of log file (created only when specified)
debug0
Sets the debug level
threads1
Sets the number of threads allowed to be used by the TOPP tool
no_progressfalse
Disables progress logging to command linetrue,false
testfalse
Enables the test mode (needed for internal use only)true,false
+++algorithmSettings for the compound list creation and rescoring.
typeIPS
Strategy for precursor ion selection.ILP_IPS,IPS,SPS,Upshift,Downshift,DEX
max_iteration100
Maximal number of iterations.1:∞
rt_bin_capacity10
Maximal number of precursors per rt bin.1:∞
step_size1
Maximal number of precursors per iteration.1:∞
peptide_min_prob0.2
Minimal peptide probability.
sequential_spectrum_orderfalse
If true, precursors are selected sequentially with respect to their RT.true,false
++++MIPFormulation
+++++thresholds
min_protein_probability0.2
Minimal protein probability for a protein to be considered in the ILP0:1
min_protein_id_probability0.95
Minimal protein probability for a protein to be considered identified.0:1
min_pt_weight0.5
Minimal pt weight of a precursor0:1
min_mz500
Minimal mz to be considered in protein based LP formulation.0:∞
max_mz5000
Minimal mz to be considered in protein based LP formulation.0:∞
min_pred_pep_prob0.5
Minimal predicted peptide probability of a precursor0:1
min_rt_weight0.5
Minimal rt weight of a precursor0:1
use_peptide_rulefalse
Use peptide rule instead of minimal protein id probabilitytrue,false
min_peptide_ids2
If use_peptide_rule is true, this parameter sets the minimal number of peptide ids for a protein id1:∞
min_peptide_probability0.95
If use_peptide_rule is true, this parameter sets the minimal probability for a peptide to be safely identified0:1
+++++combined_ilp
k10.2
combined ilp: weight for z_i0:∞
k20.2
combined ilp: weight for x_j,s*int_j,s0:∞
k30.4
combined ilp: weight for -x_j,s*w_j,s0:∞
scale_matching_probstrue
flag if detectability * rt_weight shall be scaled to cover all [0,1]true,false
++++Preprocessing
precursor_mass_tolerance10
Precursor mass tolerance which is used to query the peptide database for peptides0:∞
precursor_mass_tolerance_unitppm
Precursor mass tolerance unit.ppm,Da
preprocessed_db_path
Path where the preprocessed database should be stored
preprocessed_db_pred_rt_path
Path where the predicted rts of the preprocessed database should be stored
preprocessed_db_pred_dt_path
Path where the predicted rts of the preprocessed database should be stored
max_peptides_per_run100000
Number of peptides for that the pt and rt are parallely predicted.1:∞
missed_cleavages1
Number of allowed missed cleavages.0:∞
taxonomy
Taxonomy
tmp_dir
Absolute path to tmp data directory used to store files needed for rt and dt prediction.
store_peptide_sequencesfalse
Flag if peptide sequences should be stored.
+++++rt_settings
min_rt960
Minimal RT in the experiment (in seconds)1:∞
max_rt3840
Maximal RT in the experiment (in seconds)
rt_step_size30
Time between two consecutive spectra (in seconds)
gauss_mean-1
mean of the gauss curve
gauss_sigma3
std of the gauss curve