Error: Missing model name!

PepNovo v2.00 - de Novo peptide sequencing.
All rights reserved to the Regents of the University of California.

Required arguments
-model <model name>
-file <path to input file>  - PepNovo can analyze dta,mgf and mzXML files
   or
-list <path to text file listing input files>
Optional arguments: 
------------------- 
-fragment_tolerance < 0-0.75 > - the fragment tolerance (each model has a default setting)
-pm_tolerance < 0-4.0 > - the precursor masss tolerance (each model has a default setting)
-PTMs   <PTM string> - seprated  by a colons (no spaces) e.g., M+16:S+80:N+1
-digest <NON_SPECIFIC,TRYPSIN> - default TRYPSIN
-num_solutions < number > - default 20
-min_length < number > - minimal number of amino acids in predicted sequence (default 5)
-max_length < number > - maximal number of amino acids in predicted sequence (default 10)
-model_dir  < path > - directory where model files are kept (default ./Models)


Citations:
----------
- Frank, A. and Pevzner, P. "PepNovo: De Novo Peptide Sequencing via Probabilistic Network Modeling", Analytical Chemistry 77:964-973, 2005.
- Frank, A., Tanner, S., Bafna, V. and Pevzner, P. "Peptide sequence tags for fast database search in mass-spectrometry", J. Proteome Res. 2005 Jul-Aug;4(4):1287-95.
- Frank, A.M., Savitski, M.M., Nielsen, L.M., Zubarev, R.A., Pevzner, P.A. "De Novo Peptide Sequencing and Identification with Precision Mass Spectrometry", J. Proteome Res. 2006 (ASAP article).

Please send comments and bug reports to Ari Frank (arf@cs.ucsd.edu).

