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The challenge of progressive alignment is that insertions cannot be distinguished from deletions at the time of aligning a pair of sequences but failing to account for their different properties is likely to cause alignment error (Löytynoja and Goldman, 2008).
Using our PERL implementation of our graph alignment, with
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Characteristic time of aligned network formation was compared with modeling predictions.
But characteristic time of aligned chain formation in MWCNTs/epoxy composite is minutes while in GNPs/epoxy composite is seconds in embedded electrodes configuration.
As we can see in Table 4 SMETANA requires the least amount of time for aligning the networks in NAPAbench, while IsoRankN needs the most computation time.
The mean of RSDs of peak area and retention time of the aligned peaks were further calculated for each sample group.
However, by observing that the rmsd of the AFP (i, j, l + 1) can be computed incrementally from the rmsd of AFP (i, j, l) in constant time, the set of aligned fragment pairs (AFPs) can be obtained in O(n) time complexity [ 11].
In all cases, speedups were calculated based on the total time to align the entire set of queries.
The large number of markers with known sequence in this study made it possible for the first time to align a significant part of the sugarcane genetic map to the sorghum genome sequence (Table 3, Additional file 1).
Our general conclusions are similar to theirs phylogenetic reconstruction of Gnetales in seed plant phylogeny is misled by non-time reversible properties of aligned chloroplast sequences.
We show that non-time reversible properties of aligned sequence positions in the chloroplast genomes of Gnetales mislead phylogenetic reconstruction of these seed plants.
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