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The trained model is applied to individual frames of wildlife video sequences to identify candidate detections.
We have compared the HAC-forming potential of different sequences to identify features critical to the efficiency of the process.
Blind channel estimation is a technique that alleviates the need for training sequences to identify the unknown channel impulse response from the received signal.
We report the use of six oligoprobes designed from intergenic spacer region sequences to identify fourth-stage larvae (L4) of the tribe Cyathostominae.
Here, we analyzed prokaryotic genome and metagenome sequences to identify an uncharacterized family of RNA-guided, RNA-targeting CRISPR systems that we classify as type VI-D.
The DNA sequence may be aligned with other DNA sequences to identify homologous sequences and locate the specific mutations that make them distinct.
We combined these sets of sequences to identify potential regulatory regions (Table 2, Table S2).
The resulting pairwise homologies are used to annotate protein sequences, to identify potential orthologs, and to identify new protein families.
We first scrutinized in detail the gene sequences to identify various genomic characteristics may factor into expressional diversity.
In addition, we studied the possibility of using ITS2 sequences to identify closely related species in different families.
In the case of the 14 antisense TUs, we collected a representative set of 52 sequences to identify putative homologous and to evaluate the coding potential.
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CEO of Professional Science Editing for Scientists @ prosciediting.com