Can we predict gene expression by understanding proximal promoter architecture?

Ł Huminiecki, J Horbańczuk - Trends in Biotechnology, 2017 - cell.com
We review computational predictions of expression from the promoter architecture–the set of
transcription factors that can bind the proximal promoter. We focus on spatial expression …

[HTML][HTML] TF-COMB–Discovering grammar of transcription factor binding sites

M Bentsen, V Heger, H Schultheis, C Kuenne… - Computational and …, 2022 - Elsevier
Cooperativity between transcription factors is important to regulate target gene expression.
In particular, the binding grammar of TFs in relation to each other, as well as in the context of …

[HTML][HTML] regCNN: identifying Drosophila genome-wide cis-regulatory modules via integrating the local patterns in epigenetic marks and transcription factor binding …

TH Yang, YC Yang, KC Tu - Computational and Structural Biotechnology …, 2022 - Elsevier
Transcription regulation in metazoa is controlled by the binding events of transcription
factors (TFs) or regulatory proteins on specific modular DNA regulatory sequences called cis …

BestCRM: An Exhaustive Search for Optimal Cis-Regulatory Modules in Promoters Accelerated by the Multidimensional Hash Function

IV Deyneko - International Journal of Molecular Sciences, 2024 - mdpi.com
The concept of cis-regulatory modules located in gene promoters represents today's vision
of the organization of gene transcriptional regulation. Such modules are a combination of …

PC-TraFF: identification of potentially collaborating transcription factors using pointwise mutual information

C Meckbach, R Tacke, X Hua, S Waack… - BMC …, 2015 - Springer
Abstract Background Transcription factors (TFs) are important regulatory proteins that
govern transcriptional regulation. Today, it is known that in higher organisms different TFs …

Transcription factor regulatory modules provide the molecular mechanisms for functional redundancy observed among transcription factors in yeast

TH Yang - BMC bioinformatics, 2019 - Springer
Background Current technologies for understanding the transcriptional reprogramming in
cells include the transcription factor (TF) chromatin immunoprecipitation (ChIP) experiments …

Removing background co-occurrences of transcription factor binding sites greatly improves the prediction of specific transcription factor cooperations

C Meckbach, E Wingender, M Gültas - Frontiers in genetics, 2018 - frontiersin.org
Today, it is well-known that in eukaryotic cells the complex interplay of transcription factors
(TFs) bound to the DNA of promoters and enhancers is the basis for precise and specific …

SMCis: An effective algorithm for discovery of Cis-Regulatory modules

H Guo, H Huo, Q Yu - Plos one, 2016 - journals.plos.org
The discovery of cis-regulatory modules (CRMs) is a challenging problem in computational
biology. Limited by the difficulty of using an HMM to model dependent features in …

A New Algorithm for Identifying Cis‐Regulatory Modules Based on Hidden Markov Model

H Guo, H Huo - BioMed Research International, 2017 - Wiley Online Library
The discovery of cis‐regulatory modules (CRMs) is the key to understanding mechanisms of
transcription regulation. Since CRMs have specific regulatory structures that are the basis for …

SegHMC: 一种基于Segmental HMM 模型的顺式调控模块识别算法

郭海涛, 霍红卫, 于强 - 自动化学报, 2016 - aas.net.cn
顺式调控模块(Cis-regulatory module, CRM) 在真核生物基因的转录调控中起着重要作用,
识别顺式调控模块是当前计算生物学的一个重要课题. 虽然当前有许多计算方法用于识别顺式 …