The compilation of multiple metazoan genome sequences and the deluge of large-scale
expression data have combined to motivate the maturation of bioinformatics methods for the …

Artificial intelligence (AI) models based on deep learning now represent the state of the art
for making functional predictions in genomics research. However, the underlying basis on …

JASPAR ( http://jaspar.genereg.net/ ) is an open-access database containing manually
curated, non-redundant transcription factor (TF) binding profiles for TFs across six taxonomic …

The analysis of regulatory regions in genome sequences is strongly based on the detection
of potential transcription factor binding sites. The preferred models for representation of …

Primary triple-negative breast cancers (TNBCs), a tumour type defined by lack of oestrogen
receptor, progesterone receptor and ERBB2 gene amplification, represent approximately 16…

JASPAR ( http://jaspar.genereg.net ) is an open-access database of curated, non-redundant
transcription factor (TF)-binding profiles stored as position frequency matrices (PFMs) for …

JASPAR ( http://jaspar.genereg.net ) is an open-access database of curated, non-redundant
transcription factor (TF)-binding profiles stored as position frequency matrices (PFMs) and …

It has long been appreciated that variations in regulatory regions of genes can impact gene
expression. With the advent of whole-genome sequencing (WGS), it has become possible to …

JASPAR ( http://jaspar.genereg.net ) is the largest open-access database of matrix-based
nucleotide profiles describing the binding preference of transcription factors from multiple …

JASPAR ( http://jaspar.genereg.net ) is an open-access database storing curated, non-redundant
transcription factor (TF) binding profiles representing transcription factor binding …