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This map uses 100 m pixel spacing.
This map uses a vertical line to represent each factor to be considered, as shown in Fig. 10b, where 6 vertical lines from left to right, represent XYZ axis, Features axis, XYZ-Features axis, Sample Ratio axis, Activity axis, and Identity axis, respectively.
We recognize this map uses user-submitted data in lieu of verifiable scientific data, so take it with a grain of salt (and guys, don't go getting competitive).
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New EST-derived SSR markers, added to this map using a bin-mapping strategy with only 14 mapping individuals, gave a new map with 296 markers distributed in 122 bins and a density of 4.2 cM/marker [ 21].
Slope values are then calculated from this map using the spatial analyst tools in ArcGIS 10.2.
The initial model of SOUL was built in this map using the program Coot [ 27].
They built this map using information from four independent pedigrees coming from F2 crosses involving five breeds (Berkshire, Duroc, Meishan, Yorkshire and Landrace).
A plasma flow map was calculated by deconvolution and the entire primary tumour was visually outlined on this map using the T1- and T2-weighted images for anatomic cross reference.
All IRIs employed for this mapping used the orchem: prefix (see Table 1).
We propose a Heterogeneity-Aware Signature-Supported (HASS) scheduling algorithm that performs this mapping using per-thread architectural signatures, which are compact summaries of threads' architectural properties.
We performed this mapping using the UCSC genome browser database [22], human build 17 (http://genome.ucsc.edu).ucsc.edu
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com