Results 1 to 10 of about 606,063 (83)
Plugging Small RNAs into the Network
Small RNAs (sRNAs) have been discovered in every bacterium examined and have been shown to play important roles in the regulation of a diverse range of behaviors, from metabolism to infection.
Lars Barquist
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Inferring microbial co-occurrence networks from amplicon data: a systematic evaluation
Microbes commonly organize into communities consisting of hundreds of species involved in complex interactions with each other. 16S ribosomal RNA (16S rRNA) amplicon profiling provides snapshots that reveal the phylogenies and abundance profiles of these
Dileep Kishore +5 more
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Identifiability of complex networks
We discuss the core principles underpinning the concept of identifiability, providing an overview of relevant literature concerning this phenomenon within the domain of complex networks.
M. Zanin, J. M. Buldú, J. M. Buldú
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Colorectal cancer (CRC), one of the most prevalent and deadly cancers worldwide, generally evolves from adenomatous polyps. The understanding of the molecular mechanisms underlying this pathological evolution is crucial for diagnostic and prognostic ...
Francesca Di Cesare +4 more
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Corynebacterium glutamicum is a Gram-positive bacterium found in soil where the condition changes demand plasticity of the regulatory machinery. The study of such machinery at the global scale has been challenged by the lack of data integration. Here, we
Juan M. Escorcia-Rodríguez +2 more
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Connecting transcriptional and post-transcriptional regulatory networks solves an important puzzle in the elucidation of gene regulatory mechanisms. To decipher the complexity of these connections, we build co-expression network modules for mRNA as well ...
Wani Nisar, Barh Debmalya, Raza Khalid
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Accurate determination of causalities between genes is a challenge in the inference of gene regulatory networks (GRNs) from the gene expression profile.
Zhigang Jia +3 more
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Evaluating the Reproducibility of Single-Cell Gene Regulatory Network Inference Algorithms
Networks are powerful tools to represent and investigate biological systems. The development of algorithms inferring regulatory interactions from functional genomics data has been an active area of research.
Yoonjee Kang +2 more
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High-Dimensional Bayesian Network Inference From Systems Genetics Data Using Genetic Node Ordering
Studying the impact of genetic variation on gene regulatory networks is essential to understand the biological mechanisms by which genetic variation causes variation in phenotypes. Bayesian networks provide an elegant statistical approach for multi-trait
Lingfei Wang +6 more
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COVID-19 is a heterogeneous disease caused by SARS-CoV-2. Aside from infections of the lungs, the disease can spread throughout the body and damage many other tissues, leading to multiorgan failure in severe cases. The highly variable symptom severity is
Yue Hu +13 more
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