A guide to conquer the biological network era using graph theory

M Koutrouli, E Karatzas, D Paez-Espino… - … in bioengineering and …, 2020 - frontiersin.org
Networks are one of the most common ways to represent biological systems as complex sets
of binary interactions or relations between different bioentities. In this article, we discuss the …

[PDF][PDF] Bipartite graphs in systems biology and medicine: a survey of methods and applications

GA Pavlopoulos, PI Kontou, A Pavlopoulou… - …, 2018 - academic.oup.com
The latest advances in high-throughput techniques during the past decade allowed the
systems biology field to expand significantly. Today, the focus of biologists has shifted from …

HipMCL: a high-performance parallel implementation of the Markov clustering algorithm for large-scale networks

A Azad, GA Pavlopoulos, CA Ouzounis… - Nucleic acids …, 2018 - academic.oup.com
Biological networks capture structural or functional properties of relevant entities such as
molecules, proteins or genes. Characteristic examples are gene expression networks or …

[HTML][HTML] Using R and bioconductor in clinical genomics and transcriptomics

JL Sepulveda - The Journal of Molecular Diagnostics, 2020 - Elsevier
Bioinformatics pipelines are essential in the analysis of genomic and transcriptomic data
generated by next-generation sequencing (NGS). Recent guidelines emphasize the need …

[HTML][HTML] Time-resolved proteomic profiling reveals compositional and functional transitions across the stress granule life cycle

S Hu, Y Zhang, Q Yi, C Yang, Y Liu, Y Bai - Nature Communications, 2023 - nature.com
Stress granules (SGs) are dynamic, membrane-less organelles. With their formation and
disassembly processes characterized, it remains elusive how compositional transitions are …

Age-based dynamic changes of phylogenetic composition and interaction networks of health pig gut microbiome feeding in a uniformed condition

S Ke, S Fang, M He, X Huang, H Yang, B Yang… - BMC veterinary …, 2019 - Springer
Background The gut microbiota impacts on a range of host biological processes, and the
imbalances in its composition are associated with pathology. Though the understanding of …

[HTML][HTML] A bioinformatics-assisted review on iron metabolism and immune system to identify potential biomarkers of exercise stress-induced immunosuppression

DA Bonilla, Y Moreno, JL Petro, DA Forero… - Biomedicines, 2022 - mdpi.com
The immune function is closely related to iron (Fe) homeostasis and allostasis. The aim of
this bioinformatics-assisted review was twofold;(i) to update the current knowledge of Fe …

In-silico identification of therapeutic targets in pancreatic ductal adenocarcinoma using WGCNA and Trader

P Yavari, A Roointan, M Naghdibadi… - Scientific Reports, 2024 - nature.com
Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy, accounting
for over 90% of pancreatic cancers, and is characterized by limited treatment options and …

A systematic review of graph-based explorations of PPI networks: methods, resources, and best practices

T Rout, A Mohapatra, M Kar - … Modeling Analysis in Health Informatics and …, 2024 - Springer
This systematic review aims to provide a comprehensive overview of graph-based
methodologies utilized in the analysis of protein–protein interaction (PPI) networks. The …

[HTML][HTML] Darling: a web application for detecting disease-related biomedical entity associations with literature mining

E Karatzas, FA Baltoumas, I Kasionis, D Sanoudou… - Biomolecules, 2022 - mdpi.com
Finding, exploring and filtering frequent sentence-based associations between a disease
and a biomedical entity, co-mentioned in disease-related PubMed literature, is a challenge …