[HTML][HTML] Network analysis methods for studying microbial communities: A mini review

MS Matchado, M Lauber, S Reitmeier… - Computational and …, 2021 - Elsevier
Microorganisms including bacteria, fungi, viruses, protists and archaea live as communities
in complex and contiguous environments. They engage in numerous inter-and intra …

iNAP: an integrated network analysis pipeline for microbiome studies

K Feng, X Peng, Z Zhang, S Gu, Q He, W Shen, Z Wang… - imeta, 2022 - Wiley Online Library
Integrated network analysis pipeline (iNAP) is an online analysis pipeline for generating and
analyzing comprehensive ecological networks in microbiome studies. It is implemented in …

Identifying local associations in biological time series: algorithms, statistical significance, and applications

D Ai, L Chen, J Xie, L Cheng, F Zhang… - Briefings in …, 2023 - academic.oup.com
Local associations refer to spatial–temporal correlations that emerge from the biological
realm, such as time-dependent gene co-expression or seasonal interactions between …

Disentangling environmental effects in microbial association networks

IM Deutschmann, G Lima-Mendez, AK Krabberød… - Microbiome, 2021 - Springer
Background Ecological interactions among microorganisms are fundamental for ecosystem
function, yet they are mostly unknown or poorly understood. High-throughput-omics can …

LAceModule: identification of competing endogenous RNA modules by integrating dynamic correlation

X Wen, L Gao, Y Hu - Frontiers in genetics, 2020 - frontiersin.org
Competing endogenous RNAs (ceRNAs) regulate each other by competitively binding
microRNAs they share. This is a vital post-transcriptional regulation mechanism and plays …

Microbial community organization during anaerobic pulp and paper mill wastewater treatment

T Meyer, MI Yang, CL Nesbo̷, ER Master… - ACS ES&T …, 2024 - ACS Publications
Amplicon sequencing data and operating data from anaerobic wastewater treatment plants
from three Canadian pulp and paper mills were explored using correlation and network …

NetGAM: Using generalized additive models to improve the predictive power of ecological network analyses constructed using time-series data

SJ Gleich, JA Cram, JL Weissman… - ISME …, 2022 - academic.oup.com
Ecological network analyses are used to identify potential biotic interactions between
microorganisms from species abundance data. These analyses are often carried out using …

Environment dependent microbial co‐occurrences across a cyanobacterial bloom in a freshwater lake

G Wu, L Ge, N Zhao, F Liu, Z Shi… - Environmental …, 2021 - Wiley Online Library
Microbial taxon–taxon co‐occurrences may directly or indirectly reflect the potential
relationships between the members within a microbial community. However, to what extent …

Modeling dynamic correlation in zero-inflated bivariate count data with applications to single-cell RNA sequencing data

Z Yang, YY Ho - Biometrics, 2022 - academic.oup.com
Interactions between biological molecules in a cell are tightly coordinated and often highly
dynamic. As a result of these varying signaling activities, changes in gene coexpression …

Diurnal oscillations of amino acids dynamically associate with microbiota and resistome in the colon of pigs

H Wang, Y Li, J You, N Feng, D Wang, Y Su, X Feng - 2024 - researchsquare.com
Background: Nutrients are one of the key determinants of gut microbiota variation. However,
the intricate associations between the amino acid (AA) profile and the dynamic fluctuations …