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Across both maps, we found 13 QTL for flowering time.
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The very best map we found was its paper tablecloth.
When we made our crustal-thickness map, we found that the thickness of the crust was almost a factor of two less than previous maps had it.
Here's a bit of a map we found that gives you an idea of the complexity of the tunnels.
From the heat map, we found that 11 expression modules are divided into four distinct clusters.
Using Ensembl Biomart ID Mapping, we found 15,181 genes that could be considered human disease genes.
Through genetic mapping we found that merovingian mutants contain a mutation in the transcription factor gcm2.
In deriving the mouse haplotype map, we found surprisingly little correlation between haplotypes and neighboring CNVRs.
By comprehensive mapping of both RbBP5 and Ash2L, we found that the Ash2L SPRY domain and a short RbBP5 peptide are important for both their intrinsic activity and the overall activity of the MLL1 complex.
Here we found multiple cochleotopic maps in the temporal lobe, however we did not find consistent maps beyond it.
Overall, we found that the mapping accuracy was high.
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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