Your English writing platform
Discover LudwigSuggestions(5)
Exact(8)
For each dataset we identified bound regions according to a False Discovery Rate (FDR) model using the TiMAT software (http://bdtnp.lbl.gov/TiMAT/TiMAT2/; summary of dataset analysis in Table S1).
We used the pattern matching program Patser [38] to find matches to four PWMs from TRANSFAC representing canonical (M00165) and non-canonical (M00163, M00164, M00166) HSEs in the sequence flanking each identified bound peak (+/−2500 bp).
21 significant proteins were identified bound to Transferrin.
Additionally, WT1 protein was identified bound to several of these gene promoters in native chromatin of transfected LNCaP cells.
For each data set, we identified bound regions (peaks) according to a false discovery rate (FDR) model using Ringo software [ 23].
Furthermore, a peptide from the AaxC transporter of this strain was identified bound to MHC class I molecules from infected murine dendritic cells [ 40].
Similar(52)
Western blot analysis was performed on the extracts used for pull-down assay and the eluted fractions to identify bound proteins.
High-throughput sequencing identifies bound sites.
These particles allow us to perform intracellular localization studies by electron microscopy and the potential of identifying bound cellular proteins using magnetic pull-down studies.
Although, methodologically, this study had good internal validity, it has limited generalisability because it was not possible to identify, bound, or sample the target population accurately.
However, to simplify the analysis, we calculated the INOS for all canonical motifs and compared this to ChIP-seq data that identify bound canonical motifs.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com