\#-----Genome (these are always required) **genome=genome.fa** #genome sequence (fasta file or fasta embeded in GFF3 file) organism\_type=eukaryotic #eukaryotic or prokaryotic. Default is eukaryotic ... \#-----EST Evidence (for best results provide a file for at least one) est= #set of ESTs or assembled mRNA-seq in fasta format altest= #EST/cDNA sequence file in fasta format from an alternate organism **est\_gff=est2genome.gff** #aligned ESTs or mRNA-seq from an external GFF3 file altest\_gff= #aligned ESTs from a closly relate species in GFF3 format ... \#-----Protein Homology Evidence (for best results provide a file for at least one) **protein=protein-set1.fa,protein-set2.fa** #protein sequence file in fasta format (i.e. from mutiple oransisms) protein\_gff= #aligned protein homology evidence from an external GFF3 file ... \#-----Repeat Masking (leave values blank to skip repeat masking) **model\_org=** #select a model organism for RepBase masking in RepeatMasker rmlib= #provide an organism specific repeat library in fasta format for RepeatMasker **repeat\_protein=** #provide a fasta file of transposable element proteins for RepeatRunner **rm\_gff=repeatmasker.gff** #pre-identified repeat elements from an external GFF3 file prok\_rm=0 #forces MAKER to repeatmask prokaryotes (no reason to change this), 1 = yes, 0 = no softmask=1 #use soft-masking rather than hard-masking in BLAST (i.e. seg and dust filtering) ... \#-----Gene Prediction snaphmm= #SNAP HMM file gmhmm= #GeneMark HMM file **augustus\_species=arabidopsis** #Augustus gene prediction species model fgenesh\_par\_file= #FGENESH parameter file pred\_gff= #ab-initio predictions from an external GFF3 file model\_gff= #annotated gene models from an external GFF3 file (annotation pass-through) **est2genome=0** #infer gene predictions directly from ESTs, 1 = yes, 0 = no **protein2genome=0** #infer predictions from protein homology, 1 = yes, 0 = no trna=0 #find tRNAs with tRNAscan, 1 = yes, 0 = no snoscan\_rrna= #rRNA file to have Snoscan find snoRNAs unmask=0 #also run ab-initio prediction programs on unmasked sequence, 1 = yes, 0 = no ... **keep_preds=1** ...
To better understand the different parameters you can have a look here