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The maps we tried out, too, were stunning: one took place in a convincingly snowy environment, combining caves and the interiors of buildings.
Keeping in view the importance of integrating physical maps with genetic maps, we tried to anchor our physical map assembly with the genetic map by fingerprinting of 337 BAC clones and assembly of 319 of these clones into physical map assembly.
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After analyzing the map, we tried reducing the level of the initial values for all concepts as well as reducing the number of iterations.
During initial mapping analysis, we tried both the One-step and Two-step methods, and variations of marker distances and positions were identified.
To verify the Reck distribution visualized in the fate-mapping study, we tried to directly detect Reck mRNA in E11.5 embryos by WISH (Fig. 5C panels 9 and 10), using a newly designed probe.
To map pictures, we try every ordering of pictures on the page to minimize the wasted space by aspect ratio differences between the pictures and their placeholders, since no automatic cropping or non-proportional scaling is performed.
Building on our past work mapping the digital evolution and digital competitiveness of different countries around the world, we tried mapping the deepest and widest pools of useful data.
We knew a lot about mouse mutants and the genetic linkage map of the mutants, and we tried to fuse the mutant linkage map with the molecular map.
We tried mapping the location of Ccr4 using ChIP-seq (CC and JM, unpublished data), but were unable to detect specific enrichments.
In order to test whether we could better account for sequence divergence in the class I TE among the three species, we tried mapping the reads exclusively to conserved regions of the LTR retrotransposons and with relaxed BWA alignment stringency.
Therefore, we tried to map the large number of DNA markers reported for the two cultivated peanut maps published by Shirasawa et al. onto the previously reported linkage maps of the A and B genomes, along with that of an artificial amphidiploid derived from a hybrid of diploid species.
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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