Changed prediction csv column headers, added an additional key 'visualization_NGD_inverted_scores' where k=2-4 scores are inverted as 1-score for more intuitive visualization, implement check for sequence ID uniqueness

ci/expected_output_shark_dive_predict_out__IDR_Segments.fasta_IDR_Segments.fasta.csv

-Query,Target,SHARK-Score (k=1),SHARK-Score (k=2),SHARK-Score (k=3),SHARK-Score (k=4),SHARK-Score (k=5),SHARK-Score (k=6),SHARK-Score (k=7),SHARK-Score (k=8),SHARK-Score (k=9),SHARK-Score (k=10),SHARK-Dive
+Query,Target,"k=1, SHARK (best)","k=2, NGD","k=3, NGD","k=4, NGD","k=5, SHARK (T=0.95)","k=6, SHARK (T=0.9)","k=7, SHARK (T=0.9)","k=8, SHARK (T=0.85)","k=9, SHARK (T=0.85)","k=10, SHARK (T=0.85)",SHARK-Dive
 sp|P25344|STE50_YEAST/152-250,sp|P25344|STE50_YEAST/152-250,1.0,0.0,0.0,0.0,0.9984365979,0.9979849767,0.9979407165,0.9902918623,0.9921231861,0.9973152607,0.8808089752
 sp|P25344|STE50_YEAST/152-250,sp|P35056|PEX5_YEAST/77-161,0.9624977461,0.7448979592,0.9690721649,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6827971973
 sp|P25344|STE50_YEAST/152-250,sp|Q07351|STP4_YEAST/144-256,0.9697782354,0.6875,0.9369369369,0.9909090909,0.0095576835,0.0089569422,0.0,0.0260688278,0.0,0.0,0.6631431343