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We believe many of these diverse phenotypes are caused by effects on the populations of a wide range of transcripts, either through transcriptional regulation or mRNA stability.
On the basis of the phenotypes of the mutant and overexpressors (complemented lines), it is highly likely that MpSIG1 is involved in the transcription of a wide range of transcripts and that its function overlaps with and/or is complemented by those of other sigma factors.
This technology has been expanded into RNAi libraries encompassing reagents that target a wide range of transcripts, allowing the role of multiple genes in a cellular process to be assessed in an unbiased fashion [4], [5].
With the growing availability of whole-genome sequence assemblies and novel methods for using deep sequencing/tag profiling to assess expression of a wide range of transcripts (including small regulatory RNAs), we should soon be able to assess generalities associated with expression, and misexpression, in sterile hybrids across broader taxonomic groups.
Cultivations of B. methanolicus MGA3 were performed in several different conditions in order to capture a wide range of transcripts.
This particular method displays similarities to SAGE regarding the linearity over a wide range of transcripts from low to high abundance as well as some technical advantages.
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The wide range of transcript expression in biological samples makes this skewed read distribution of coverage an important factor when profiling mRNAs at the nucleotide level, departing from models that may assume a linear correlation between transcript abundance and sequencing coverage.
Gene selection took into consideration the coverage of a wide range of transcript (tag) abundance and patterns of differential expression (Additional file 6).
The method provides accurate quantification of transcript number, good sensitivity over a wide range of transcript expression levels, and increasing high throughput capabilities.
Also, since total RNA samples containing a wide range of transcript abundance levels were used in this experiment, the dataset demonstrates that the accuracy of the assay is maintained over all mRNA expression levels.
Our goal was to sequence RNA from 10 brain regions in 10 subjects, at sufficient depth to detect a wide range of transcript expression, including non-coding RNA's.
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