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It has been designed specifically for use in the alignment system of the Endcap Muon detectors for the CMS experiment at LHC.
This maximizes the amount of sequence information that we use in the alignment, but it also favors the inclusion of sequences that contain low frequency and/or species-specific exons, potentially increasing the number of alignment errors.
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dPercentage of reads used in the alignment that align to the reference genome but whose mate does not align.
bPercentage of reads used in the alignment that align to the reference genome.
cPercentage of reads used in the alignment that align to the reference genome in the correct relative orientation to their mate.
One CTD from each dimer was used for the alignment, while the rest of the dimer was not used in the alignment and was aligned indirectly.
One representative sequence of each OTU was randomly selected for use in the alignments.
For the tree construction, one representative sequence of each OTU was randomly selected for use in the alignments.
Because not all sampled taxa possess the same duplications, to prepare these concatenated data sets we first chose which copies of the duplicated genes to use in the alignments (Additional File 2).
The actual extent and the root cause of these blind spots vary based on the aligner, the parameters used in the alignment and post-processing steps, and the types of the variants.
The choice of the aligner and the parameters used in the alignment and post-processing steps will have an impact on the variant calls.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com