Sentence examples for binding datasets from inspiring English sources

The tests have been carried out on comparatively large Human Leukocyte Antigen (HLA -A and HLA -Aandele peptide binding datasets.

The chIP-chip binding datasets are drawn from [12] for transcription factors Bcd, Gt, Hb, and Kr (Supporting File S2).

In these calculations we found that the respective half-site models (IR3 and DR5) showed no significant enrichment when we compared the genome-wide binding datasets with control sequences (data not shown).

We further demonstrated that our method can applied to ChIP-seq binding datasets and to the E. coli genome data.

Using 11 available ChIP-seq TF-DNA binding datasets, we revisited and improved the estimates of the levels of sensitivity and specificity of the TF-DNA BEs.

Conversely, utilizing the information about the actual bound peptide profiles from the recent large-scale binding datasets has the potential to boost the power of new predictions.

However, these methods cannot be applied directly to the identification of SDRs, because in a typical protein-peptide binding dataset [ 13, 38], each PRD does not bind to only one single peptide sequence.

We tested SBaSeTraM against a MATCHTM implementation by searching all probes used in an experimental Saccharomyces cerevisiae TF binding dataset, and comparing our predictions to the data.

The TF binding dataset was downloaded from Harbison et al.'s study [ 1].

That is, only 4% of the TF binding dataset was overlapped with the TF knockout effect dataset.

Of the 203 TFs in the TF binding dataset, 173 were also in the TF knockout effect dataset.