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We were unable to extend our alignment to more basal embryophyte groups, such as mosses and ferns, due to extreme sequence divergence.
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In this work, we extend our former alignment framework and propose a novel scoring method to identify conserved metabolic pathways and quantify the level of conservation in an efficient and comprehensive manner.
In the future, we plan to introduce the geometric transformation into our matching frame, and extend our method to image alignment.
We have presented a novel multiple genome alignment heuristic that extends our previous approach by aligning regions conserved in subsets of genomes.
We also envision extending our approach to the alignment of graphs produced by the de novo assemblers and using phylogenetic information to disambiguate these graphs into the correct separate sequences.
In the present work, we describe a new method to construct positional homology multiple genome alignments that extends our previous method [9] to aligning regions conserved in subsets of the genomes.
It will also extend the alignment of the seed till the score cut-off and expected cut-off are not met.
It is more likely to find sufficient seeds from which to extend the alignment for longer reads.
Additional rhesus HSPs were used to extend the alignment region upstream and downstream from the initial alignment until all HSPs were used.
If a two hit is found, the algorithm tries to extend the alignment without gaps, resulting in a high-scoring segment pair (HSP).
In many cases, the N-termini of sporozoan proteins extend outside the alignment (data not shown).
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