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In summary, our whole transcriptome sequencing approach allows detection of AI across a large number of genes.
Since bacteriophages propagate only on viable and culturable cells [40], [58], our approach allows detection of live and metabolically active cells of Y. pestis, which may be specifically important in forensic studies and for characterization of activity of natural plague foci.
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Under optimal conditions, this proposed approach allowed detection of miRNA with the limit of detection (LOD) down to 0.045 pM.
Our multi-environment approach allowed detection of thirty-five main-effects QTL.
This approach allowed detection of a significant association between the candidate gene HaRIC_B and SHR incidence (P < 0.01), accounting for a SHR incidence reduction of about 20%%.
For example, the array-based approaches allow detection of specific sequences only and capture the transcriptome while ignoring splice-junction information or alternative splicing events.
Although selective sweep analysis revealed genomic regions affected by selection, QTL mapping approaches allow detection of genomic regions impacting a specific complex trait.
The system uses a multiplex approach, which allows detection of 25 of the most common pathogen species causing bloodstream infection in a single blood sample (table 1).
Finally, this approach allows the detection of a very low number of L. monocytogenes present in foodstuff.
The approach allows the detection and isolation of multiple sensor faults and considers the possible presence of modeling uncertainties and disturbances.
The approach allows simultaneous detection of pharmacologically active compounds and their metabolites [4, 19], supporting pharmacokinetic (PK) and pharmacodynamic (PD) developments in the pharmaceutical industry, e.g., contributing to PK screening [23, 24].
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CEO of Professional Science Editing for Scientists @ prosciediting.com