Statistical challenges in longitudinal microbiome data analysis

S Kodikara, S Ellul, KA Lê Cao - Briefings in Bioinformatics, 2022 - academic.oup.com
The microbiome is a complex and dynamic community of microorganisms that co-exist
interdependently within an ecosystem, and interact with its host or environment. Longitudinal …

Comparative analysis of gene regulatory networks: from network reconstruction to evolution

D Thompson, A Regev, S Roy - Annual review of cell and …, 2015 - annualreviews.org
Regulation of gene expression is central to many biological processes. Although
reconstruction of regulatory circuits from genomic data alone is therefore desirable, this …

Sparse and compositionally robust inference of microbial ecological networks

ZD Kurtz, CL Müller, ER Miraldi… - PLoS computational …, 2015 - journals.plos.org
16S ribosomal RNA (rRNA) gene and other environmental sequencing techniques provide
snapshots of microbial communities, revealing phylogeny and the abundances of microbial …

RegNetwork: an integrated database of transcriptional and post-transcriptional regulatory networks in human and mouse

ZP Liu, C Wu, H Miao, H Wu - Database, 2015 - academic.oup.com
Transcriptional and post-transcriptional regulation of gene expression is of fundamental
importance to numerous biological processes. Nowadays, an increasing amount of gene …

Gene regulatory network reconstruction using single-cell RNA sequencing of barcoded genotypes in diverse environments

CA Jackson, DM Castro, GA Saldi, R Bonneau… - elife, 2020 - elifesciences.org
Understanding how gene expression programs are controlled requires identifying regulatory
relationships between transcription factors and target genes. Gene regulatory networks are …

dynGENIE3: dynamical GENIE3 for the inference of gene networks from time series expression data

VA Huynh-Thu, P Geurts - Scientific reports, 2018 - nature.com
The elucidation of gene regulatory networks is one of the major challenges of systems
biology. Measurements about genes that are exploited by network inference methods are …

EGRINs (Environmental Gene Regulatory Influence Networks) in rice that function in the response to water deficit, high temperature, and agricultural environments

O Wilkins, C Hafemeister, A Plessis… - The Plant …, 2016 - academic.oup.com
Environmental gene regulatory influence networks (EGRINs) coordinate the timing and rate
of gene expression in response to environmental signals. EGRINs encompass many layers …

An experimentally supported model of the Bacillus subtilis global transcriptional regulatory network

ML Arrieta‐Ortiz, C Hafemeister, AR Bate… - Molecular systems …, 2015 - embopress.org
Organisms from all domains of life use gene regulation networks to control cell growth,
identity, function, and responses to environmental challenges. Although accurate global …

Leveraging chromatin accessibility for transcriptional regulatory network inference in T Helper 17 Cells

ER Miraldi, M Pokrovskii, A Watters, DM Castro… - Genome …, 2019 - genome.cshlp.org
Transcriptional regulatory networks (TRNs) provide insight into cellular behavior by
describing interactions between transcription factors (TFs) and their gene targets. The assay …

Combining tree-based and dynamical systems for the inference of gene regulatory networks

VA Huynh-Thu, G Sanguinetti - Bioinformatics, 2015 - academic.oup.com
Motivation: Reconstructing the topology of gene regulatory networks (GRNs) from time
series of gene expression data remains an important open problem in computational …