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planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tools/hardklor commit f37e6d0357de4d9b1cd743ca291a7d4df2cc7a5f-dirty
author | galaxyp |
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date | Mon, 23 May 2016 11:12:40 -0400 |
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# Hardklor parameter file # Version 2.3.0 # Please see online documentation for detailed explanations: # https://code.google.com/p/hardklor/wiki/Documentation # All parameters are separated from their values by an equals sign ('=') # Anything after a '#' will be ignored for the remainder of the line. # All data files (including paths if necessary) to be analyzed are discussed below. # Parameters used to described the data being input to Hardklor instrument = {instrument} #Values are: FTICR, Orbitrap, TOF, QIT resolution = {resolution} #Resolution at 400 m/z (def. 60000) centroided = {centroided} #0=no, 1=yes # Parameters used in preprocessing spectra prior to analysis ms_level = {mslvl} #1=MS1, 2=MS2, 3=MS3, 0=all scan_range_min = 0 #ignore any spectra lower than this number, 0=off scan_range_max = 0 #ignore any spectra higher than this number, 0=off signal_to_noise = 0 #set signal-to-noise ratio, 0=off sn_window = 250.0 #size in m/z for computing localized noise level in a spectrum. static_sn = 0 #0=off, 1=on. Apply lowest localized noise level to entire spectrum. boxcar_averaging = 0 #0=off, or specify number of scans to average together, use odd numbers only boxcar_filter = 0 #0=off, when using boxcar_averaging, only keep peaks seen in this number of scans # currently being averaged together. When on, signal_to_noise is not used. boxcar_filter_ppm = 5 #Tolerance in ppm for matching peaks across spectra in boxcar_filter mz_min = 0 #Sets lower bound of spectrum m/z range to analyze, 0=off mz_max = 0 #Sets upper bound of spectrum m/z range to analyze, 0=off smooth = 0 #Peforms Savitzky-Golay smoothing of peaks data. 0=off # Not recommended for high resolution data. # Parameters used to customize the Hardklor analysis. Some of these parameters will drastically # affect the analysis speed and results. Please consult the documentation and choose carefully! algorithm = {algorithm} #Algorithms include: Basic, Version1, Version2 charge_algorithm = {charge_algo} #Preferred method for feature charge identification. # Values are: Quick, FFT, Patterson, Senko, None # If None is set, all charge states are assumed, slowing Hardklor charge_min = {mincharge} #Lowest charge state allowed in the analysis. charge_max = {maxcharge} #Highest charge state allowed in the analysis. correlation = {correlation} #Correlation threshold to accept a peptide feature. averagine_mod = 0 #Formula containing modifications to the averagine model. # Read documentation carefully before using! 0=off mz_window = 5.25 #Breaks spectrum into windows not larger than this value for Version1 algorithm. sensitivity = {sensitivity} #Values are 0 (lowest) to 3 (highest). Increasing sensitivity # identifies more features near the noise where the isotope distribution # may not be fully visible. However, these features are also more # likely to be false. depth = {depth} #Depth of combinatorial analysis. This is the maximum number of overlapping # features allowed in any mz_window. Each increase requires exponential # computation. In other words, keep this as low as necessary!!! max_features = {maxfeat} #Maximum number of potential features in an mz_window to combinatorially solve. # Setting this too high results in wasted computation time trying to mix-and-match # highly improbable features. # Parameters used to customize the Hardklor output distribution_area = 1 #Report sum of distribution peaks instead of highest peak only. 0=off, 1=on xml = 0 #Output results as XML. 0=off, 1=on # Below this point is where files to be analyzed should go. They should be listed contain # both the input file name, and the output file name. Each file to be analyzed should begin # on a new line. By convention Hardklor output should have this extension: .hk # Example: #YourData.mzXML YourData.hk #Data.mzXML Data.hk {inputfile} {outputfile}