We wrote a PERL program, PolyMFind, to parse this multiple genome alignment and scan for aligned positions with a SNP, a gap, or an "N" (nucleotide inserted between contigs to stitch them together).
A multiple genome alignment was conducted by aligning contigs from the different assemblies to the PacBio reference assembly to identify conserved regions and to evaluate gaps in the different DSM 10061 assemblies.
Lastly the three genomes were aligned with the MAUVE multiple genome alignment tool, revealing several Large Chromosome Rearrangement (LCR) events; many of which correlate to transposase clusters.
We have presented a novel multiple genome alignment heuristic that extends our previous approach by aligning regions conserved in subsets of genomes.
We performed a multiple genome alignment followed by extensive manual curation to properly align intron/exon boundaries and correct misalignments of large, repetitive intergenic sequences.
Multiple genome alignment is among the most basic tools in the comparative genomics toolbox, however its application has been hampered by concerns of accuracy and practicality [1] [3].
Multiple genome alignment remains a challenging problem.
Though the presence of these joints was recorded in the multiple genome alignment, no false positive score was assigned.
We then apply the multiple genome alignment method to a group of 23 finished genomes in the family Enterobacteriacae (Table S1).
The genome alignment of the orthologous regions comprising the surE, pcm, nlpD and rpoS genes was generated by the multiple genome alignment software Mauve [62].
When gene content is nearly equal, current models can use a multiple genome alignment to infer patterns of genome rearrangement [64].
