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While other methods do exist for ≥ 0.1 mg of C size samples, the low throughput has made them cost prohibitive for many applications.
While other methods existed for ≥0.1 mg of C size samples, the low throughput has made the cost prohibitive for many applications.
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Over the last ten years, high throughput sequencing has made ciliate genomic research available on a large scale, and the genomes of several species have been sequenced and analyzed, e.g. Tetrahymena thermophila (Eisen et al., 2006), Paramecium tetraurelia (Auryet al., 2006), Ichthyophthirius multifiliis (Coyne et al., 2011) and Oxytricha trifallax (Swart et al., 2013).
Although the high throughput technology has made continuous progress during the last decade in terms of size, cost and signal quality, it remains challenging to deduce reliable predictive signatures from genomic data due to a small sample size and a large number of variables.
Biological information generated by high-throughput technology has made systems approach feasible for many biological problems.
Recent advancement in high-throughput biology has made a variety of biological interaction networks available.
Motivation: High-throughput sequencing has made the analysis of new model organisms more affordable.
Motivations: High-throughput sequencing has made it possible to sequence DNA methylation of a whole genome at the single-base resolution.
The advance of high-throughput sequencing has made it possible to obtain new transcriptomes and study splicing mechanisms in non-model organisms.
In addition, the advent of high-throughput sequencing has made possible not only the identification but also the quantification of expression levels of conopeptide transcripts.
Recent development of high-throughput technologies has made it possible to measure the expression activities of transcription factors and their target genes at the genome-scale.
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