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This also applied to the five hexaploid wheat database sequences assigned to chromosome 6D.
FB carried out rice and wheat database searches, comparative genome analysis, gene structure prediction and nomenclature, and drafted the manuscript.
Correspondingly, only four out of the 20 hexaploid wheat database sequences that were assigned to chromosome 6B contained epitope glia-α, whereas all others were without epitopes.
This coincided with the finding that the SNP frequency of SR3 and wheat database EST (SR3 vs Ta alignment) was lower than those of the SR3 vs JN177 alignment (Table 2).
This mechanism may therefore explain why C/T SNPs were more common in the SR3 vs JN177 comparison (2.07 per 1000 nt) than in the JN177 vs wheat database ESTs comparison (Table 2).
For example, the INRA URGI Wheat database (http://urgi.versailles.inra.fr/Species/Wheat) provides access to the physical maps of The TriticeaeGenome chromosome 1BL, 1AS, 3B, and 3D as well as to the 3A physical map which is hosted at the WGGRC.
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Specifically, this was done with the acquisition of three large SNP genotype data from published corn, rice and wheat databases.
In order to define probes on the sequence capture microarray, TaMET1-expressed tags (ESTs) were identified in wheat databases.
In the available wheat databases we identified orthologous copies of seven of the eight known rice proteins that were shown to interact with rNPR1 (Table 1).
We identified a total of 14 YSL genes within available wheat databases (see phylogeny in Fig S8), but one of these genes is likely a pseudogene (Table 2).
It was performed by searching the wheat EST database and NCBI NT database for miRNA complementary sequences.
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