Deep learning describes a class of machine learning algorithms that are capable of
combining raw inputs into layers of intermediate features. These algorithms have recently …

The faithful execution of biological processes requires a precise and carefully orchestrated
set of steps that depend on the proper spatial and temporal expression of genes. Here we …

Accurate computational identification of promoters remains a challenge as these key DNA
regulatory regions have variable structures composed of functional motifs that provide gene …

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 …

Public genomic databases have provided new directions for molecular marker development
and initiated a shift in the types of PCR-based techniques commonly used in plant science …

Computational methods for automated genome annotation are critical to understanding and
interpreting the bewildering mass of genomic sequence data presently being generated and …

Genome sequencing efforts will soon generate hundreds of millions of bases of human
genomic DNA containing thousands of novel genes. In the past year, the accuracy of …

Background The core promoter, a region of about 100 base-pairs flanking the transcription
start site (TSS), serves as the recognition site for the basal transcription apparatus …

MOTIVATION: Precise analysis of the genetic network, gene function and transcription
regulation requires accurate prediction of transcription factor (TF) bindability on DNA. For …

MOTIVATION: A new approach to the prediction of eukaryotic PolII promoters from DNA
sequence takes advantage of a combination of elements similar to neural networks and …