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The initial comparative modeling templates were identified using the secondary structure enhanced profile-profile threading alignment (LOMETS) and the four part iterative threading assembly refinement protocol of I-TASSER [38] [39].
The positions of these templates were identified using fluorescence imaging of the DNA-specific dyes.
The heavy and light chains templates were identified using the SWISS-MODEL workspace template identification portal.
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In the latter case, the template is identified using the HHsearch program, which builds a Hidden Markov Model (HMM) of the target protein family and compares it to the HMMs representing a set of non-redundant families of proteins of known structure (sequence identity between any pair below 70%).
The products of primer extension from control and M1dG-modified template-primers were identified using an LC-ESI/MS/MS-based approach.
Eyeblink artifacts were identified using a template-based method (Ille et al. 2002) to allow for subsequent correction in the ERP analysis (see below).
Transgenic tobacco and potato plants were identified using genomic DNA as template and gene-specific primers.
Cases were identified using ICD-9-CM codes, and an electronic template was used to record the data on predefined clinical variables.
GSQUA2, GSQUA3 and GSQUA4 were identified using reverse transcription PCR with inflorescence mRNA as a template.
First, the sequence most similar to the candidate sequence in the template alignment (the template sequence) is identified using BLAST (Altschul et al., 1990).
These can be identified using morphological operations [34] or via template matching [35].
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