Applications of multi‐omics analysis in human diseases
Multi‐omics usually refers to the crossover application of multiple high‐throughput screening
technologies represented by genomics, transcriptomics, single‐cell transcriptomics …
technologies represented by genomics, transcriptomics, single‐cell transcriptomics …
Web-based multi-omics integration using the analyst software suite
The growing number of multi-omics studies demands clear conceptual workflows coupled
with easy-to-use software tools to facilitate data analysis and interpretation. This protocol …
with easy-to-use software tools to facilitate data analysis and interpretation. This protocol …
Multi-omics data integration using ratio-based quantitative profiling with Quartet reference materials
Y Zheng, Y Liu, J Yang, L Dong, R Zhang, S Tian… - Nature …, 2024 - nature.com
Abstract Characterization and integration of the genome, epigenome, transcriptome,
proteome and metabolome of different datasets is difficult owing to a lack of ground truth …
proteome and metabolome of different datasets is difficult owing to a lack of ground truth …
DNA-framework-based multidimensional molecular classifiers for cancer diagnosis
A molecular classification of diseases that accurately reflects clinical behaviour lays the
foundation of precision medicine. The development of in silico classifiers coupled with …
foundation of precision medicine. The development of in silico classifiers coupled with …
Genome-scale metabolic modeling enables in-depth understanding of big data
Genome-scale metabolic models (GEMs) enable the mathematical simulation of the
metabolism of archaea, bacteria, and eukaryotic organisms. GEMs quantitatively define a …
metabolism of archaea, bacteria, and eukaryotic organisms. GEMs quantitatively define a …
Single cell RNA‐sequencing: A powerful yet still challenging technology to study cellular heterogeneity
Almost all biomedical research to date has relied upon mean measurements from cell
populations, however it is well established that what it is observed at this macroscopic level …
populations, however it is well established that what it is observed at this macroscopic level …
Discovery of sparse, reliable omic biomarkers with Stabl
Adoption of high-content omic technologies in clinical studies, coupled with computational
methods, has yielded an abundance of candidate biomarkers. However, translating such …
methods, has yielded an abundance of candidate biomarkers. However, translating such …
Recent advances in mass spectrometry-based computational metabolomics
The computational metabolomics field brings together computer scientists, bioinformaticians,
chemists, clinicians, and biologists to maximize the impact of metabolomics across a wide …
chemists, clinicians, and biologists to maximize the impact of metabolomics across a wide …
PaintOmics 4: new tools for the integrative analysis of multi-omics datasets supported by multiple pathway databases
PaintOmics is a web server for the integrative analysis and visualisation of multi-omics
datasets using biological pathway maps. PaintOmics 4 has several notable updates that …
datasets using biological pathway maps. PaintOmics 4 has several notable updates that …
Multi-omics data integration methods and their applications in psychiatric disorders
To study mental illness and health, in the past researchers have often broken down their
complexity into individual subsystems (eg, genomics, transcriptomics, proteomics, clinical …
complexity into individual subsystems (eg, genomics, transcriptomics, proteomics, clinical …