Promoter selection and its impact on differential gene expression analysis

Author:

QIAGEN Digital Insights

Promoter selection and its impact on differential gene expression analysis

Webinar

Studies of differential gene expression patterns using micro-array and RNA-seq technologies provide insight into the molecular mechanisms responsible for changes in gene expression. TRANSFAC, a unique knowledge-base containing published data on eukaryotic transcription factors and miRNAs, binding sites, and regulated genes can be leveraged to perform comparative promoter analyses of such high-throughput data, identifying the transcription factors most likely to have induced the experimentally observed pattern of gene expression. 

In this webinar, we’ll discuss TRANSFAC’s method of virtual TSS calculation for defining promoter sequences and explore the impact that promoter assignments have on differential expression analysis results.