This section gives a reference of the parameters and some examples regarding mauve usage.

Command-line paramter reference  

--apply-backbone=<file> Read an existing sequence alignment in XMFA format and apply backbone statistics to it

--disable-backbone Disable backbone detection

--mums Find MUMs only, do not attempt to determine locally collinear blocks (LCBs)

--seed-weight=<number> Use the specified seed weight for calculating initial anchors

--output=<file> Output file name. Prints to screen by default

--backbone-output=<file> Backbone output file name (optional).

--match-input=<file> Use specified match file instead of searching for matches

--input-id-matrix=<file> An identity matrix describing similarity among all pairs of input sequences/alignments

--max-gapped-aligner-length=<number> Maximum number of base pairs to attempt aligning with the gapped aligner

--input-guide-tree=<file> A phylogenetic guide tree in NEWICK format that describes the order in which sequences will be aligned

--output-guide-tree=<file> Write out the guide tree used for alignment to a file

--version Display software version information

--debug Run in debug mode (perform internal consistency checks--very slow)

--scratch-path-1=<path> Designate a path that can be used for temporary data storage. Two or more paths should be specified.

--scratch-path-2=<path> Designate a path that can be used for temporary data storage. Two or more paths should be specified.

--collinear Assume that input sequences are collinear--they have no rearrangements

--scoring-scheme=<ancestral|sp_ancestral|sp> Selects the anchoring score function. Default is extant sum-of-pairs (sp).

--no-weight-scaling Don't scale LCB weights by conservation distance and breakpoint distance

--max-breakpoint-distance-scale=<number [0,1]> Set the maximum weight scaling by breakpoint distance. Defaults to 0.9

--conservation-distance-scale=<number [0,1]> Scale conservation distances by this amount. Defaults to 1

--skip-refinement Do not perform iterative refinement

--skip-gapped-alignment Do not perform gapped alignment

--bp-dist-estimate-min-score=<number> Minimum LCB score for estimating pairwise breakpoint distance

--mem-clean Set this to true when debugging memory allocations

--gap-open=<number> Gap open penalty

--gap-extend=<number> Gap extend penalty

--substitution-matrix=<file> Nucleotide substitution matrix in NCBI format

--weight=<number> Minimum pairwise LCB score

--min-scaled-penalty=<number> Minimum breakpoint penalty after scaling the penalty by expected divergence

--hmm-p-go-homologous=<number> Probability of transitioning from the unrelated to the homologous state [0.0001]

--hmm-p-go-unrelated=<number> Probability of transitioning from the homologous to the unrelated state [0.000001]

--seed-family Use a family of spaced seeds to improve sensitivity

 

Examples of progressiveMauve usage

Example 1.  Align three genomes from the input files genome_1.gbk, genome_2.gbk, and genome_3.gbk, saving the output to a file called threeway.xmfa

progressiveMauve --output=threeway.xmfa genome_1.gbk genome_2.gbk genome_3.gbk

Example 2.  Align the same three genomes but also save the guide tree and produce a backbone file

progressiveMauve --output=threeway.xmfa --output-guide-tree=threeway.tree --backbone-output=threeway.backbone genome_1.gbk genome_2.gbk genome_3.gbk

Example 3.  Align the same three genomes, but do not detect forced alignment of unrelated sequence and do not create a backbone file

progressiveMauve --output=threeway_no_backbone.xmfa --disable-backbone genome_1.gbk genome_2.gbk genome_3.gbk

Example 4.  Detect forced alignment of unrelated sequence in the alignment produced in Example 3.  Use custom Homology HMM transition parameters.  Save a backbone file.

progressiveMauve --apply-backbone=threeway_no_backbone.xmfa --output=threeway.xmfa --backbone-output=threeway.backbone --hmm-p-go-homologous=0.001 --hmm-p-go-unrelated=0.000005

Example 5.  Compute ungapped local-multiple alignments among the input sequences and save them to a file called threeway.mums

progressiveMauve --mums --output=threeway.mums genome_1.gbk genome_2.gbk genome_3.gbk

Example 6.   Compute an alignment of the same three genomes, using previously computed local-multiple alignments

progressiveMauve --match-input=threeway.mums --output=threeway.xmfa genome_1.gbk genome_2.gbk genome_3.gbk

Example 7.  Set a custom breakpoint penalty to cope with genomes where default penalty does not work.  The default penalty can be extracted from the program's textual output, in this hypothetical example, the default penalty will be 100000.

progressiveMauve --output=threeway.xmfa --weight=50000 genome_1.gbk genome_2.gbk genome_3.gbk

Example 8.  Set a minimum scaled breakpoint penalty to cope with the case where most genomes are aligned correctly, but manual inspection reveals that a divergent genome has too many predicted rearrangements.

progressiveMauve --min-scaled-penalty=5000 --output=threeway.xmfa  genome_1.gbk genome_2.gbk genome_3.gbk

 Example 9.  Globally align a set of collinear virus genomes that reside in a single FastA file.  Use seed families to improve anchoring sensitivity in regions below 70% sequence identity.

progressiveMauve --collinear --seed-family --disable-backbone --output=virus.xmfa all_virii.fasta