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RNA sequencing allows one to study allelic imbalance of gene expression, which may be due to genetic factors or genomic imprinting. It is desirable to model both genetic and parent-of-origin effects simultaneously to avoid confounding and…

Applications · Statistics 2017-05-08 Vasyl Zhabotynsky , Wei Sun , Kaoru Inoue , Terry Magnuson , Mauro Calabrese

Parental origin effects play an important role in mammal development and disorder. Case-control mother-child pair genotype data can be used to detect parental origin effects and is often convenient to collect in practice. Most existing…

Methodology · Statistics 2022-08-11 Yuang Tian , Hong Zhang , Alexandre Bureau , Hagit Hochner , Jinbo Chen

Genomic imprinting and maternal effects are two epigenetic factors that have been increasingly explored for their roles in the etiology of complex diseases. This is part of a concerted effort to find the "missing heritability." Accordingly,…

Applications · Statistics 2013-04-18 Jingyuan Yang , Shili Lin

In plants, a subset of genes exhibit imprinting in endosperm tissue such that expression is primarily from the maternal or paternal allele. Imprinting may arise as a consequence of mechanisms for silencing of transposons during…

Populations and Evolution · Quantitative Biology 2013-07-30 Amanda J. Waters , Paul Bilinski , Steve R. Eichten , Matthew W. Vaughn , Jeffrey Ross-Ibarra , Mary Gehring , Nathan M. Springer

The phenotypic consequences of individual mutations are modulated by the wild type genetic background in which they occur.Although such background dependence is widely observed, we do not know whether general patterns across species and…

Genomics · Quantitative Biology 2014-06-04 Christopher H. Chandler , Sudarshan Chari , David Tack , Ian Dworkin

Genes are frequently regulated in complex manners, necessitating modelling approaches which go beyond simple (linear) gene-to-gene interactions and address the modularity of cis-regulatory regions and alternate transcription initiation…

Molecular Networks · Quantitative Biology 2018-01-11 Ekaterina Myasnikova , Alexander Spirov

Genomic imprinting has been thought to play an important role in seed development in flowering plants. Seed in a flowering plant normally contains diploid embryo and triploid endosperm. Empirical studies have shown that some economically…

Applications · Statistics 2010-11-15 Gengxin Li , Yuehua Cui

Motivation: Despite being often perceived as the main contributors to cell fate and physiology, genes alone cannot predict cellular phenotype. During the process of gene expression, 95% of human genes can code for multiple proteins due to…

Genomics · Quantitative Biology 2018-09-25 Claudio Angione

This work analyses the transcriptional effects of some biochemical mechanisms proposed in previous literature which attempts to explain the differential spatial expression of Hedgehog target genes involved in Drosophila development.…

Molecular Networks · Quantitative Biology 2017-09-29 Manuel Cambón

Gene duplication is believed to play a major role in the evolution of genomic complexity. The presence of a duplicate removes the constraint of natural selection upon the gene, leading to its likely loss of function or, occasionally, the…

Molecular Networks · Quantitative Biology 2015-05-06 Srinandan Dasmahapatra

Stochasticity in gene expression can result in fluctuations in gene product levels. Recent experiments indicated that feedback regulation plays an important role in controlling the noise in gene expression. A quantitative understanding of…

Molecular Networks · Quantitative Biology 2019-12-11 Zihao Wang , Zhenquan Zhang , Tianshou Zhou

Some genes can promote or repress their own expressions, which is called autoregulation. Although gene regulation is a central topic in biology, autoregulation is much less studied. In general, it is extremely difficult to determine the…

Molecular Networks · Quantitative Biology 2022-08-30 Yue Wang , Siqi He

Motivation: Alternative splicing is an important mechanism in which the regions of pre-mRNAs are differentially joined in order to form different transcript isoforms. Alternative splicing is involved in the regulation of normal…

Quantitative Methods · Quantitative Biology 2016-05-26 Hande Topa , Antti Honkela

We introduce a model of molecular evolution in which the fitness of an individual depends both on its own and on the parent's genotype. The model can be solved by means of a nonlinear mapping onto the standard quasispecies model. The…

Biological Physics · Physics 2009-11-07 Claus O. Wilke

Gene expression is a complex and quantitative trait that is influenced by both genetic and non-genetic regulators including environmental factors. Evaluating the contribution of environment to gene expression regulation and identifying…

Genomics · Quantitative Biology 2019-06-27 Ke Tang , Wei Zhang

In tumoral cells, gene regulation mechanisms are severely altered, and these modifications in the regulations may be characteristic of different subtypes of cancer. However, these alterations do not necessarily induce differential…

Gene expression data is essential for understanding how genes are regulated and interact within biological systems, providing insights into disease pathways and potential therapeutic targets. Gene knockout has proven to be a fundamental…

Genomics · Quantitative Biology 2025-10-07 Yongjian He , Vered Klein , Orr Levy , Xu-Wen Wang

Embryonic stem cells (ESC) have the potential to self-renew indefinitely and to differentiate into any of the three germ layers. The molecular mechanisms for self-renewal, maintenance of pluripotency and lineage specification are poorly…

Genomics · Quantitative Biology 2011-01-11 Florian Markowetz , Klaas W Mulder , Edoardo M Airoldi , Ihor R Lemischka , Olga G Troyanskaya

The influence of DNA cis-regulatory elements on a gene's expression has been intensively studied. However, little is known about expressions driven by trans-acting DNA hotspots. DNA hotspots harboring copy number aberrations are recognized…

Molecular Networks · Quantitative Biology 2016-11-17 Yinyin Yuan , Christina Curtis , Carlos Caldas , Florian Markowetz

We present a new combinatorial model for identifying regulatory modules in gene co-expression data using a decomposition into weighted cliques. To capture complex interaction effects, we generalize the previously-studied weighted edge…

Data Structures and Algorithms · Computer Science 2021-09-08 Madison Cooley , Casey S. Greene , Davis Issac , Milton Pividori , Blair D. Sullivan
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