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This study investigated the use of deep sequencing by the next-generation sequencing (NGS) Illumina MiSeq Platform to obtain complete genome sequence information from influenza virus isolates.
Highly concordant results were obtained by other methodologies (qPCR and aCGH; Figure S2), thereby validating the use of deep sequencing to measure CNC in primary tumors.
With paired-end read lengths achievable on the Illumina platform now approaching 300 bp, the use of deep sequencing for identification of even highly divergent pathogens at exceedingly low titers becomes feasible.
The use of deep sequencing of the degradome is broadly applicable for global identification of small RNA targets [ 27- 30].
The use of deep sequencing has resulted in the identification of previously unknown genes that are recurrently mutated at a significant frequency in myeloma.
Stephen Kingsmore (Children's Mercy Hospital, USA) and William Gahl (National Institutes of Health, USA) presented their efforts in the use of deep sequencing for undiagnosed diseases.
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With increased use of deep-sequencing techniques from a limited starting material, the identification of specific Hif-α variant targets during disease, in a cell-type-specific manner, is now a technical possibility in zebrafish models of disease (Rougeot et al., 2014).
The objectives of this study are to use a combination of deep sequencing of Hessian fly larval miRNA transcriptomes and computational prediction to systematically identify miRNA species in the Hessian fly genome and to identify specific miRNAs that might be involved in insect – plant interactions.
Using a combination of deep sequencing and bioinformatic prediction tools we have identified and characterised small RNAs from different lifecycle stages of the parasitic nematodes Brugia and H. contortus.
Overall our analysis suggests that even though both ΔN and TA transcripts undergo complex alternative splicing events, the major C-terminal variant expressed in most cell lines is the α isoform and that minor transcripts representing various splicing products can often be unearthed using the power of deep sequencing and sophisticated computational tools.
The abundance of sRNAs in the pools from Ea1189 6 hr, Ea1189 12 hr, Ea1189Δ hfq 6 hr and Ea1189Δ hfq 12 hr was quantified based on the reads of deep sequencing using Artemis (Table 2).
More suggestions(15)
use of genomic sequencing
use of targeted sequencing
use of deep architecture
use of multiple sequencing
use of conventional sequencing
use of identical sequencing
use of deep brain
use of deep object
use of expensive sequencing
use of multilocus sequencing
use of different sequencing
use of viral sequencing
use of deep bed
use of deep sedation
use of deep inspiration
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