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An important tool for predicting mammalian TF binding sites is motif scanning, i.e. searching DNA sequence for matches within a library of sequence motifs reported to be bound by specific TFs (Lähdesmäki et al., 2008).
Information analysis was originally performed using the Delila sequence analysis system, which included a language to process nucleic acid sequences, and a library of sequence tools to retrieve and process various types of sequence data.
Next we determined the domain architectures of these proteins by searching their sequences with a library of sequence profiles derived from the PFAM database augmented with additional in-house collections of profiles for domains involved in nucleic acid metabolism, signaling, and organismal conflicts.
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However, there are no computational algorithms available to delimit an antibody sequence or a library of sequences into FRs and CDRs in a coherent and automatic fashion.
Protein evolution relies on designing a library of sequences that capture meaningful functional diversity in a limited number of protein variants.
Protein S824C is a four-helix bundle derived from a library of sequences that was designed by binary patterning of polar and nonpolar amino acids.
For the current studies, we used the binary code strategy to design and construct a library of sequences designed to fold into 102-residue 4-helix bundles.
Here we aimed for the first time to design a fully synthetic core promoter and 5′ UTR for P. pastoris and to employ such artificial sequences for p AOX1 core promoter engineering to obtain a library of sequence-diversified promoters with different properties.
Successful targeted capture and sequencing results in a library of sequences that is enriched for the loci of interest.
Once uploaded, the data will be made available as a library of sequences that can be used to BLAST against other databases available at the system.
In the third phase of the strategy, we generated a library of sequences associated with canine CENP-A-containing nucleosomes, providing a functional context for the satellite DNA domain database.
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