Sentence examples for predict transcription from inspiring English sources

We present GimmeMotifs, a de novo motif prediction pipeline ideally suited to predict transcription factor binding motifs from ChIP-seq datasets.

We believe that biological community could benefit from having a new operon prediction database, which uses RNA-seq datasets to predict transcription units in a condition/transcriptome-specific manner.

Multiple data fusion provides a natural way to improve transcription factor target gene predictions because sequence specificities alone are not sufficient to accurately predict transcription factor binding sites.

In this article we have described a benchmark for testing methods that predict transcription factor binding sites.

It is difficult to determine the distance of the Met4 docking complex to the transcriptional start since the starts have not been biochemically proven, and computationally it is difficult to predict transcription initiation because of the varied modes of initiation by the polymerase [2].

Novel approach to predict transcription factor binding sites.

These motifs predict transcription-factor binding motifs that may control the expression of each cluster.

We also measured the prediction accuracy of iTriplet in predicting transcription factor binding sites in E. Coli.

When we infer transcriptional regulatory networks, we consider only a-priori known (or predicted) transcription factors as potential regulators.

Computational methods have an important role in predicting transcription factor target gene genomewide.

This microarray covers 541 miRNAs, each of which is covered by approximately 100 probes (60-mer) over its 12.5-kb genomic position, that includes predicted transcription start sites.