Results 31 to 40 of about 183,000 (118)

Proximity labeling: an emerging tool for probing in planta molecular interactions

Plant Communications, 2020
Protein–protein interaction (PPI) networks are key to nearly all aspects of cellular activity. Therefore, the identification of PPIs is important for understanding a specific biological process in an organism.
Xinxin Yang, Zhiyan Wen, Dingliang Zhang, Zhen Li, Dawei Li, Ugrappa Nagalakshmi, S. Dinesh-Kumar, Yongliang Zhang   +7 more
semanticscholar   +1 more source

Gene expression networks in the Drosophila Genetic Reference Panel

bioRxiv, 2019
A major challenge in modern biology is to understand how naturally occurring variation in DNA sequences affects complex organismal traits through networks of intermediate molecular phenotypes.
L. Everett, Wen Huang, Shanshan Zhou, M. A. Carbone, R. F. Lyman, Gunjan H. Arya, Matthew S. Geisz, Junwu Ma, Fabio Morgante, G. S. St Armour, Lavanya Turlapati, R. Anholt, T. Mackay   +12 more
semanticscholar   +1 more source

QSSPN: dynamic simulation of molecular interaction networks describing gene regulation, signalling and whole-cell metabolism in human cells

Bioinform., 2013
Motivation: Dynamic simulation of genome-scale molecular interaction networks will enable the mechanistic prediction of genotype–phenotype relationships.
Ciarán P. Fisher, Nicholas J. Plant, J. Moore, Andrzej M. Kierzek   +3 more
semanticscholar   +1 more source

Extracting microtubule networks from superresolution single-molecule localization microscopy data

Molecular Biology of the Cell, 2017
Microtubule filaments form ubiquitous networks. However, quantitative analysis of this structure is difficult due to its complex architecture. A tool is given for the automated retrieval of microtubule filaments from superresolution microscopy images and
Zhen Zhang, Yukako Nishimura, Pakorn Kanchanawong   +2 more
semanticscholar   +1 more source

Quantitative single-cell transcriptomics

Briefings in Functional Genomics, 2018
Single-cell RNA sequencing (scRNA-seq) is currently transforming our understanding of biology, as it is a powerful tool to resolve cellular heterogeneity and molecular networks.
C. Ziegenhain, B. Vieth, Swati Parekh, I. Hellmann, W. Enard   +4 more
semanticscholar   +1 more source

Systems Biology and Machine Learning in Plant-Pathogen Interactions.

Molecular Plant-Microbe Interactions, 2019
Systems biology is an inclusive approach to study the static and dynamic emergent properties on a global scale by integrating multiomics datasets to establish qualitative and quantitative associations among multiple biological components.
B. Mishra, Nilesh Kumar, M. S. Mukhtar
semanticscholar   +1 more source

Construction and analysis of circular RNA molecular regulatory networks in liver cancer

Cell Cycle, 2017
Shuangchun Ren, Zhuoyuan Xin, Yinyan Xu, Jianting Xu, Guoqing Wang   +4 more
semanticscholar   +1 more source

Unveiling toxicological adverse outcomes: toward construction and simulation of large-scale networks. [PDF]

Toxicol Sci
Ikonomi N, Ketter N, Pepe MAA.
europepmc   +1 more source

Advancing Soybean Improvement: Multi-Omics Strategies, Cutting-Edge Techniques, and Bioinformatics Innovations. [PDF]

Plants (Basel)
Samanfar B.
europepmc   +1 more source

Beyond Mendel: a call to revisit the genotype-phenotype map through new experimental paradigms. [PDF]

Genetics
Tautz D, Pallares LF, Andersson L, Barghi N, Barton N, Bay R, Chan YF, Hancock A, Kaiser TS, Koenig D, Kontarakis Z, Liedvogel M, de Meaux J, Nordborg M, Palmer AA, Purugganan M, Schlötterer C, Schmid K, Stainier DYR, Weigel D, Wolf JBW, Ebert D, Gibson G.   +22 more
europepmc   +1 more source