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The location of genes was determined by combining RNA sequencing (RNA-seq) mapping and exon linkage data with gene homologies and the prediction of coding sequences, splicing signals and repetitive elements using the MAKER pipeline5 (Supplementary Table 5 and Supplementary Note).
Integrating whole genome linkage data with whole genome expression data may help annotate and prioritize genes for mutation analysis in disease linkage or genome wide association study intervals [7], [8].
This was accomplished by merging the linkage data with RH data, modeled as backcross, using dsmergen.
The script to order markers on the integrated map starts by merging the binary backcross representation of linkage data with the haploid model RH data, assuming common marker order (dsmergor).
To combine the available linkage data with the maximum number of markers in the present context, the sex-pooled cM size of the arm was used in the last two columns.
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After convergence using the map construction script, further evaluation of alternative orders was carried out with the backcross linkage data merged with a diploid model of the RH data, again assuming common marker order.
A public access mortality linkage data file with follow-up through 31 December 2006 was used for these analyses (13).
Ombrello and colleagues [ 13] integrated NGS data with previously generated linkage data in three families with a dominantly inherited complex of cold-induced urticaria, antibody deficiency, and autoimmunity.
To look for polymorphisms consistent with the linkage data, we sequenced exons with amino acid polymorphisms in two additional M. spretus strains and one additional M. musculus strain generating 40.1 kb of sequence data.
Linkage data were merged with cytogenetic mapping data to confirm the order of markers or to identify linkage of isolated or weakly informative markers.
Our linkage data in combination with mapping of homeologous regions in the salmon genome provide substantial support for the presence of these mechanisms in Atlantic salmon.
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