job{ 	
	name = out/glycolysis-results 				#[1] default output files prefix
		
	filter_spaimr{ 	#Totally ignore some molecules
		type= no_effect 	
		blacklist = in/data/blacklist-remove.txt 	#[2] Remove the molecules from this list
	} 	
		
	filter_spaimr{ 	#Work the neighborhood of a list of molecule
		type = neighbor_nohub 	
		num = 1 					#[3] neighborhood level (WARNING see details)
		max_hub = 0 	
		roles = spaim 	
		startlist = in/data/glycolysis.txt 		#[4] take the neighborhood of molecules from this list
		blacklist = in/data/hubs/blacklist-2000.txt 	#[5] compute the neighborhood without using this molecules
		output = out/glycolysis-neighbor.txt 		#[6] log neighborhood results here
	} 	
		
	compute_filter_spaimr{} 	
		
	compute_influences{ 	#build an influence graph from the selected regulated reactions
		max_balance = 0 	
		compute_balance = no 	
		compute_prod_by_unknown = yes 	
	} 	
		
	stats_influence{} 	
		
	cneighbor{ 						#search for key regulators (you can write this block multiple times, with differents output file prefix)
		id=out/glycolysis-key 				#[7] output file prefix for key regulators results
		targets =in/data/glycolysis.txt 		#[8] a list of molecules describing containing the regulated molecules
		observed=in/data/empty.txt 			#[9] a list of molecules (that may be empty), containing additionals informations on molecules variations
	} 	
		
	write_full_graph{} 	
	
}#end job