Key genetic parameters for population management

R Wellmann, J Bennewitz - Frontiers in Genetics, 2019 - frontiersin.org
Population management has the primary task of maximizing the long-term competitiveness
of a breed. Breeds compete with each other for being able to supply consumer demands at …

Decoding biology with massively parallel reporter assays and machine learning

A La Fleur, Y Shi, G Seelig - Genes & Development, 2024 - genesdev.cshlp.org
Massively parallel reporter assays (MPRAs) are powerful tools for quantifying the impacts of
sequence variation on gene expression. Reading out molecular phenotypes with …

Deciphering regulatory DNA sequences and noncoding genetic variants using neural network models of massively parallel reporter assays

R Movva, P Greenside, GK Marinov, S Nair… - PLoS …, 2019 - journals.plos.org
The relationship between noncoding DNA sequence and gene expression is not well-
understood. Massively parallel reporter assays (MPRAs), which quantify the regulatory …

Genome-wide Functional Characterization of Escherichia coli Promoters and Regulatory Elements Responsible for their Function

G Urtecho, KD Insigne, AD Tripp, M Brinck, NB Lubock… - BioRxiv, 2020 - biorxiv.org
Despite decades of intense genetic, biochemical, and evolutionary characterizations of
bacterial promoters, we lack the ability to identify or predict transcriptional activities of …

Quantifying intensities of transcription factor-DNA binding by learning from an ensemble of protein binding microarrays

L Quan, J Mei, R He, X Sun, L Nie… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
The control of the coordinated expression of genes is primarily regulated by the interactions
between transcription factors (TFs) and their DNA binding sites, which are an integral part of …

Learning useful representations of DNA sequences from chip-seq datasets for exploring transcription factor binding specificities

L Quan, X Sun, J Wu, J Mei, L Huang… - IEEE/ACM …, 2020 - ieeexplore.ieee.org
Deep learning has been successfully applied to surprisingly different domains. Researchers
and practitioners are employing trained deep learning models to enrich our knowledge …

[PDF][PDF] PyCUB: A machine exploration of the codon usage bias

J Kalfon - 2018 - researchgate.net
The codon usage bias (CUB) is part of a long standing research in biology, trying to
understand the genome, this lengthy protein composed of amino acids (aa) referenced to by …