Exact(3)
Motif identification using the MEME software revealed several conserved motifs either in all or in particular part of chicken promoters.
We utilized motif identification using conservation and relative abundance (MICRA), a motif discovery tool designed to analyze the low-resolution data produced using the DamID technique [ 25].
We proceeded to another round of motif identification using our HES-based method applied to the functional windows of genes within their target clusters.
Similar(57)
It is typically approached by position weight matrix-based motif identification algorithms using Gibbs sampling, or heuristics to extend seed oligos.
In addition, automatic annotations derived from sequence motif identification are used to computationally predict antiviral resistance, enhanced pathogenicity or putative human adaptation.
Final annotation was performed using 1) BLASTP comparison to proteins in the NCBI nr database, 2) CDS identification, COG function prediction, cellular location prediction, and identification of Pfam domains and PROSITE motifs using the BASys Bacterial Annotation System [145] and 3) additional Pfam domain identification using the Sanger Centre Pfam search engine [146].
Identification using pigmentation alone is not sufficient.
Subsequently, the SMART motif identification tool was used to identify predicted domains in all candidate proteins [ 28].
The MEME motif identification software was used to search the conserved motifs in eukaryotic SBPase, FBPase, and eubacterial Class I FBPase, F/SBPase.
Subsequently, the SMART [ 45] and Pfam [ 46] motif identification tools were used to identify predicted PP2C domains in all these candidate proteins.
De novo motif identification was carried out using 50 bp around the summit of the peak of the top 1,033 regions using MEME-ChIP (Mandanick and Bailey, 2011).
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